CURRICULUM VITAE
BRADLEY C. LOVE
(January, 2018)
ADDRESS
University University
College London
Experimental
Psychology
26
Bedford Way, Room 235
London,
UK WC1H 0AP
E-mail b.love@ucl.ac.uk
Website http://bradlove.org
EDUCATION
Ph.D. in
Cognitive Psychology
Northwestern University, Evanston, IL
B.S.
Cognitive and Linguistic Sciences
Brown University, Providence, RI
POSITIONS
2016 - Turing
Fellow at the Alan Turing Institute
2011 - Full Professor in Experimental
Psychology at University College London (UCL)
2010 - Affiliate Member, DELTA Center
The
University of Iowa
2010 - 2011 Full Professor in Psychology
The
University of Texas at Austin
2005 – 2010 Associate
Professor in Psychology
The University of
Texas at Austin
1999 – 2005 Assistant Professor in Psychology
The University of
Texas at Austin
GRANTS,
FELLOWSHIPS, AND HONORS
6/2016 National Institute of
Health P01 (linked R01s), “Linking Brain, Behavior, and Development:
Integrative Models of Category Learning.”
3/2016 Inaugural Fellow at the
Alan Turing Institute for data science.
6/2015 Wellcome Trust Senior
Investigator Award, “Neural and Computational Mechanisms of Categorisation.”
12/2014 Fellow, APS.
6/2014 The Leverhulme Trust, “Circumventing
Limits in Memory Retrieval.”
5/2014 Membership (elected) to the
Memory Disorders Research Society.
7/2013 Adam Hornsby is awarded
the W.H.R. Rivers Prize for best undergraduate in UCL Psychology.
4/2013 Brian Glass is awarded
the Outstanding Dissertation Award from University of Texas at Austin.
9/2012 IMPACT fellowship award
(dunnhumby corporation and UCL).
8/2012 Wellcome Trust New Start
Equipment Award.
1/2012 Fellow, Psychonomic Society.
5/2011 Margaret “Megan” Sanders
(undergraduate honours student) is a George H. Mitchell Fellowship award winner.
5/2011 NIH proposal R21
MH091523-01A1 “Model-Based fMRI of Dynamic Category Learning: The Memory and
Attention Interface.”
5/2010 AFOSR Gant #FA9550-10-1-0268,
“A Dynamic Approach to Information Sampling and Learning.”
9/2009 NSF Grant #0927315 (Co-PI,
PI 2011-), “Predicting Disrupted Network Behavior.”
7/2009 ARL
Grant #W911NF-09-2-0038, “A Computational Learning Approach to Adaptive
Information Displays for Enhancing Soldier Performance.”
4/2009 Laura
Holland, a graduate student in my lab, was awarded an NSF graduate fellowship.
3/2009 Gyslain
Giguere , a postdoctoral researcher in my lab, was awarded a fellowship from
Quebec, Canada.
2/2008 Aaron
Hoffman, a postdoctoral researcher in my lab, was awarded an NRSA fellowship
from NIMH.
5/2007 AFOSR
Grant #FA9550-07-1-0178,“Category Learning by Clustering with Extension to
Dynamic Environments.”
1/2007 ARL Grant
#W911NF-07-2-0023 Love (Co-PI), “Sustaining and Enhancing High Optempo
Performance of Soldiers in the Transformed Military.”
6/2004 AFOSR
Grant #FA9550-04-1-0226, “Maximizing the Benefits of Training by Example and
Direct Instruction.”
4/2004 NSF
CAREER Grant #0349101,“Flexible learning inside and outside the classroom.”
10/2003 Matt
Jones, a postdoctoral researcher sponsored jointly by me and Todd Maddox, had
his NRSA training proposal funded with the top rating for the panel.
2/2003 Awarded
a Research Internship from University of Texas to fund an entering graduate
student.
12/2002 Awarded
(along with Ahn, Goldstone, Markman, and Wolff) by the APA to host a conference
honouring Doug Medin.
6/2002 Admitted
and attended the APA’s summer institute in fMRI at Harvard-MGH.
5/2002 Levi
Larkey, a graduate student working with me, was awarded a three year fellowship
through the National Defense Science and Engineering Graduate (NDSEG)
fellowship program.
2/2002 J. S.
McDonnell Foundation grant titled “Interdisciplinary Collaborative Consortium
on the Cognitive Neuroscience of Category Learning.” I am one of numerous co-investigators (Mark
Gluck is the PI).
12/2001 Liran
Elboym, an honours student working in my lab, was awarded a Undergraduate
Research Fellowship to fund our project.
5/2001 AFOSR
Grant #F49620-01-1-0295, “Adaptive Learning Across Task Environments.”
10/2000 Awarded
a Research Internship from University of Texas to fund an entering graduate
student.
4/2000 Awarded
a Summer Research Assistantship from the University of Texas.
1996 - 1999 Graduate
Fellowship, NDSEG. Funded to pursue my
research.
4/1996 National
Science Foundation Graduate Fellowship.
I received, but declined, an NSF fellowship.
SERVICE TO FIELD
journals Acta Psychologica; Attention,
Perception, & Psychophysics; Artificial
Intelligence; Australian Journal of Psychology; Behavioral and Brain Sciences;
Behavior Research Methods; Cerebral Cortex; Cognition; Cognitive Psychology (Associate Editor 2014-2017); Cognitive
Science (Editorial Board 2006-2009);
Current Directions in Psychological Science; Experimental Psychology; Decision;
Frontiers in Cognitive Science (Editorial
Board 2012-2014); Frontiers in Developmental Psychology (Editorial Board 2010-2014); Human Brain
Mapping; International Journal of Science and Mathematics Education (Special Issue Editor, 2012-2014); JARMAC;
Journal of Experimental Child Psychology; Journal of Cognitive Psychology; Journal of
Experimental Psychology: General; Journal of Experimental Psychology: Human Perception
and Performance; Journal of Experimental Psychology: Learning, Memory, and
Cognition (Editorial Board 2006-2009);
Journal of Experimental Social Psychology; Journal of Mathematical Psychology (Special Issue Editor 2014-2015);
Journal of Memory and Language; Journal of Neuroscience; Journal of Vision;
Journal of Vision; Language and Cognitive Processes; Memory & Cognition (Editorial Board 2006-2009; Associate Editor
2009-2012); Nature; Nature Communications; Natre Human Behaviour; Neural
Computation; NeuroImage; Perception & Psychophysics; Perspectives on
Psychological Science; PLoS ONE; Proceedings of the National Academy of
Sciences; Psychological Bulletin; Psychological Review; Psychological Science;
Psychonomic Bulletin and Review (Editorial
Board 2006-2010); Science; Scientfic Reports; Trends in Cognitive Sciences;
Quarterly Journal of Experimental Psychology; Visual Cognition; Wiley
Interdisciplinary Reviews.
conferences AAAI 2006 (senior program committee member); Biologically Inspired Cognitive
Architecture (BICA); FLAIRS; ICCM; ICONIP; NIPS; Awards Chair of 2007 Cognitive
Science Society annual conference; Co-Chair
of 2008 Cognitive Science Society annual conference, Cognitive Science
Society Program Committee member (various years).
grants AFOSR’s Perception
& Cognition Program; ANR (France); Canada Foundation for Innovation; ESRC;
ESRC Rapporteur; EU Human Brain Project panel
member (2014); FONDECYT Sicologia (Chile); FNR (Luxembourg); FNRS
(Belgium); FWO (Belgium); Leverhulme Trust; MRC; NASA’s Intelligent Systems
(Human-Centered Computing); National Endowment for the Humanities; Israeli
Science Foundation panel member (2011),
National Endowment for the Humanities; NIMH Cognition, Language, and Perception
(Fellowship) panel member (2006-2007);
National Science Foundation (Cognitive Neuroscience); National Science
Foundation Perception, Action, and Cognition panel member (2005-2007); National Science Foundation program evaluator (2012) for UCSD
Science of Learning Center; NSERC
(Canada); National Science Foundation (Decision, Risk and Management Sciences); Research
Council of Leuven (Belgium); University of Texas at Austin Research Internship
(RI) fellowship, the Wellcome Trust.
other Comment of House of
Lords request for feedback on how government should regulate Artificial
Intelligence; Consultant for BBC Horizon (2014-2015, Episode 19) “Are Video
Games Really That Bad?”; Outside evaluator on tenure and promotion cases, and
Ph.D. dissertations. Consultant for Charles A. Dana Center academic youth
development program. Air Force AMBR
project expert panel member (2002-2004),
program committee member for FLAIRS 2002 Special Track “Categorization and Concept Representation:
Models and Implications”; Program
evaluation for Oxford’s new Social Data Science programme; Program evaluation
for Kingston’s new Decision Sciences MSc programme; Consultant on Scientific
Content of BBC Horizon episode (2015); Programme evaluation for Oxford Internet
Institute’s newly proposed MSc (2017), Programme evaluation for Warwick new
Psychology and Data Science MSc (2016); Consultant for Ofgem, dunnhumby, the
Take Five (https://takefive-stopfraud.org.uk/)
public service.
UNIVERSITY SERVICE
Mentor for
Research Fellows at Turing (2017- )
Deputy Chair, (9/2014 - )
Head of the
Cognitive Systems Area at Texas (7/2007- 8/2011)
Countless Masters and Ph.D. committees.
Member
of numerous committees.
ADVISING
Postdoctoral
Christiane Ahlheim
(2016-2018)
Sebastian
Bobadilla-Suarez (2017-)
Kurt Braunlich
(2016- )
Johan Carlin
(2016-2017, now Cambridge CBU)
Gyslain Giguere
(2009-2013, now a U. of Montreal)
Olivia Guest
(2017-)
Giles Greenway
(2018-)
Aaron Hoffman
(2007- 2011)
Matthew Jones
(2003-2007, now U. of Colorado Assoc. Prof.)
Mike Mack (2011- 2016,
now U. of Toronto Asst. Prof)
Rob Mok (2017-)
Brett Roads
(2018-)
Graduate
Eric Abel
(2009-2010)
Sebastian
Bobadilla-Suarez (2013-2017)
Tyler Davis
(2005-2010, now Texas Tech Asst. Prof.)
John Dennis
(2003-2004)
Brian Glass (2011-2012,
now postdoc)
Todd M. Gureckis (2001-2005, now NYU Assoc. Prof.)
Laura Holland (2008-2009)
Alan Hornsby (2016- )
Lukas Kopec (2012- )
Levi Larkey
(2002-2003)
Ross Otto (2007-2012, now McGill Asst. Prof.)
Katie Parker (2013-2016)
Paula Parpart (2012-2017)
Peter Riefer (2012-2016)
Yasuaki Sakamoto (2000-2005, now Research Asst. Prof.
at Stevens Institute of Technology)
Katherine Snyder (2007-2008)
Sebastian Suarez (2013-)
Marc Tomlinson (2004-2010)
Anne Warlaumont (2006-2007)
A lot (5+ per year) of MSc and BSc students (2012-)
PUBLICATIONS
Articles
Ahlheim, C. &
Love, B.C. (2017). Estimating the functional dimensionality of neural
representations. Biorxiv, DOI: doi: https://doi.org/10.1101/232454
Parpart, P.,
Jones, M. & Love, B.C. (in press). Heuristics as Bayesian inference under
extreme priors. Cognitive Psychology.
Guest, O.,
Kanayet, F.J. Love, B.C. (2017). Gerrymandering and Computational
Redistricting. arXiv: (preprint),
DOI: https://arxiv.org/abs/1711.04640
Mack, M.L.,
Preston, A.R. & Love, B.C. (2017). Medial prefrontal cortex compresses
concept representations through learning. Pattern
Recognition in Neuroimaging, DOI: https://doi.org/10.1109/PRNI.2017.7981500
Mack, M.L., Love,
B.C., Preston, A.R. (2017). Building concepts one episode at a time: The
hippocampus and concept formation. Neuroscience
Letters, DOI: https://doi.org/10.1016/j.neulet.2017.07.061
De Martino, B.,
Bobadilla-Suarez, S., Nouguchi, T., Sharot, T., & Love, B.C. (2017). Social
Information is Integrated into Value and Confidence Judgments According to its
Reliability. Journal of Neuroscience,
3880-16; DOI: https://doi.org/10.1523/JNEUROSCI.3880-16.2017
Bobadilla-Suarez,
S., & Love, B.C. (in press). Fast or Frugal, but not both: Decision
Heuristics under Time Pressure. Journal
of Experimental Psychology: Learning, Memory, and Cognition.
Palmeri, T.J.,
Love, B.C., & Turner, B.M. (2017). Model-based cognitive neuroscience. Journal of Mathematical Psychology, 76,
59-64.
Riefer, P.S.,
& Love, B.C. (2017). Coherency Maximizing Exploration in the Supermarket. Nature Human Behaviour, 1, 0017, DOI:
10.1038/s41562-016-0017.
Guest, O., Love,
B.C. (2017). What the Success of Brain Imaging Implies about the Neural Code. eLife, 6:e21397, http://dx.doi.org/10.7554/eLife.21397
Mack, M.L., Love,
B.C., Preston, A.R. (2016). Dynamic updating of hippocampal object
representations reflects new conceptual knowledge. Proceedings of the National Academy of Sciences (PNAS), 113(46), 13203–13208..
http://dx.doi.org/10.1101/071118.
Spiers, H.J.,
Love, B.C., Le Pelley, M.E., Gibb, C.E., & Murphy, R.A. (in press).
Anterior Temporal Lobe Tracks the Formation of Prejudice. Journal of Cognitive Neuroscience. DOI: 10.1162/jocn_a_01056
Turner, B.M.,
Forstmann, B.U., Love, B.C., Palmeri, T.J. & Van Maanen, L. (in press).
Approaches to Analysis in Model-based Cognitive Neuroscience. Journal of Mathematical Psychology. http://dx.doi.org/10.1016/j.jmp.2016.01.001.
Love, B.C. (2016).
Cognitive Models as Bridge between Brain and Behavior. Trends in Cognitive Science, 4, 247–248.
Blanco, N.J.,
Love, B.C., Ramscar, M., Otto, A.R., Smayda, K. & Maddox, W.T. (2016).
Exploratory Decision-Making as a Function of Lifelong Experience, not Cognitive
Decline. Journal of Experimental Psychology: General, 3, 284-297.
Love, B.C., Kopec,
L., & Guest, O. (2015). Optimism Bias in Fans and Sports Reporters. PLOS ONE, 0(9):e0137685.
Riefer, P.S.,
& Love, B.C. (2015). Unfazed by Both the Bull and Bear: Strategic
Exploration in Dynamic Environments. Games, 6, 251-261.
Newall, P., &
Love, B.C. (2015). Nudging Investors Big and Small Toward Better Decisions. Decision, 2, 319-326.
Blanco, N.J.,
Love, B.C., Cooper, J.A., McGeary, J.E., Knopik, V.S., & Maddox, W.T. (2015).
A Frontal Dopamine System for Reflective Exploratory Behavior. Neurobiology of Learning and Memory, 123,
84-91.
Love, B.C. (2015).
The Algorithmic Level is the Bridge Between Computation and Brain. Topics in Cognitive Science, 7, 230-242.
Patil, K., Zhu,
X., Kopec, L., & Love, B.C. (2014). Optimal Teaching for Limited-Capacity
Human Learners. Neural Information
Processing Systems (NIPS).
Hornsby, A.N.
& Love, B.C. (2014). Improved Classification of Mammograms Following
Idealized Training. Journal of Applied
Research in Memory and Cognition, 3, 72-76.
Otto, A.R., Knox,
W.B. Markman, A.B., & Love, B. C. (2014). Physiological and Behavioral
Signatures of Reflective Exploratory Choice. Cognitive, Affective, & Behavioral Neuroscience, 14, 1167-1183.
Davis, T., Xue,
G., Love, B.C., Preston, A.R. & Poldrack, R.A. (2014). Global Neural
Pattern Similarity As A Common Basis For Categorization and Recognition Memory. Journal of Neuroscience, 34 (22),
7472-7484.
Ramscar, M.,
Hendrix, P., Love, B. C. & Baayen, H. (2013). Learning is not decline: The
mental lexicon as a window into cognition across the lifespan. The Mental Lexicon, 8(3), 450-481.
Mack, M.L., Preston, A.R. & Love, B.C.
(2013). Decoding the Brain's Algorithm for Categorization from its Neural
Implementation. Current Biology, 23, 2023-2027.
Blanco, N.J., Otto, A.R., Maddox, W.T.,
Beevers, C.G. & Love, B.C. (2013). The Influence of Depression Symptoms on
Exploratory Decision-Making. Cognition, 129, 563-568.
Giguère, G. & Love, B.C. (2013).
Limits in decision making arise from limits in memory retrieval. Proceedings of
the National Academy of Sciences of the
United States of America (PNAS), 110 (19), 7613-7618.
Glass, B.D., Maddox, W.T. & Love, B.C.
(2013). Real-Time Strategy Game Training: Emergence of a Cognitive Flexibility
Trait. PLOS ONE, 8 (8).
Sanders, M., Davis, T., & Love, B.C.
(2013). Are Better Examples Beautiful or Are Beautiful Examples Better? Exploring
the Relationship Between Beauty and Category Structure. Psychonomic Bulletin & Review, 20, 566-573.
Knox, W.B., Glass,
B.D., Love, B.C., Maddox, W.T., & Stone, P. (2012). How humans teach
agents. International Journal of Social Robotics, 4 (4), 409-421.
Davis, T., Love,
B.C., & Maddox, W.T. (2012). Age-related Declines in the Fidelity of Newly
Acquired Category Representations. Learning and Memory, 19, 325-329.
Davis, T., Love, B.C., & Preston, A.R.
(2012). Striatal and Hippocampal Entropy and Recognition Signals in
Category Learning: Simultaneous Processes Revealed by Model-based fMRI. Journal
of Experimental Psychology: Learning, Memory, and Cognition, 38,821-839.
(special issue on Theory and data in categorization: Integrating computational,
behavioral, and cognitive neuroscience approaches).
Knox, W.B., Otto,
A.R., Stone, P., & Love, B.C. (2012). The Nature of Belief-Directed
Exploratory Choice in Human Decision-Making. Frontiers in Psychology, 2, 398.
Otto, A.R.,
Markman, A.B., & Love, B.C. (2012). Taking More, Now: The Optimality of
Impulsive Choice Hinges on Environment Structure. Social Psychological and Personality Science, 3(2), 131-138.
Davis, T., Love,
B.C., & Preston, A.R. (2012).
Learning the Exception to the Rule: Model-Based fMRI Reveals Specialized
Representations for Surprising Category Members. Cerebral Cortex, 22, 260-273.
Jones, M. &
Love, B.C. (2011). Bayesian Fundamentalism or Enlightenment? On the Explanatory
Status and Theoretical Contributions of Bayesian Models of Cognition. Behavioral and Brain Sciences, 34,
169-231. (target article and response to commentaries).
Goldwater, M.B.,
Tomlinson, M.T., Echols, C.H., & Love, B.C. (2011). Structural Priming as
Structure-Mapping: Children Use Analogies from Previous Utterances To Guide
Sentence Production. Cognitive Science,
35, 156-170.
Sakamoto, Y.,
& Love, B.C. (2010). Learning and Retention through Predictive Inference
and Classification. Journal of
Experimental Psychology: Applied, 16, 361-377
Tomlinson, M.T.,
& Love, B.C. (2010). When Learning to Classify by Relations Is Easier Than
by Features. Thinking & Reasoning,
16, 372-401.
Otto, A.R.,
Gureckis, T.M., Markman, A.B., & Love, B.C. (2010). Regulatory Fit and
Systematic Exploration in a Dynamic Decision-Making Environment. Journal of Experimental Psychology:
Learning, Memory, & Cognition, 36(3), 797-804.
Otto, A.R., &
Love, B.C. (2010). You Don't Want To Know What You're Missing: When Information
about Forgone Rewards Impedes Dynamic Decision Making. Judgment and Decision Making, 5, 1-10.
Davis, T., &
Love, B.C. (2010). Memory for Category Information is Idealized through
Contrast with Competing Options. Psychological
Science, 21, 234-242.
Gureckis, T. M.,
& Love, B. C. (2010). Direct Associations or Internal Transformations?
Exploring the Mechanisms Underlying Sequential Learning Behavior. Cognitive Science, 34, 10-50.
Gureckis, T.M.,
& Love, B.C. (2009). Short Term
Gains, Long Term Pains: How cues about state aid learning in dynamic
environments. Cognition, 113, 293-313.
Otto, A.R.,
Gureckis, T.M., Markman, A.B., & Love, B.C. (2009). Navigating through
Abstract Decision Spaces: Evaluating the Role of State Generalization in a
Dynamic Decision-Making Task. Psychonomic
Bulletin & Review, 16, 957-963.
Davis, T., & Love,
B.C. (2009). Anticipatory Emotions in Decision Tasks: Covert Markers of Value
or Attentional Processes? Cognition,
112, 195-200.
Davis, T., Love,
B.C., & Maddox, W.T. (2009). Two Pathways to Stimulus Encoding in Category
Learning? Memory & Cognition 37, 394-413
Gureckis,
T. M., & Love, B. C. (2009).
Learning in Noise: Dynamic Decision-Making in a Variable Environment. Journal of Mathematical Psychology, 150, 180-193.
Sakamoto,
Y., Jones, M., & Love, B. C. (2008). Putting the Psychology Back into Psychological
Models: Mechanistic vs. Rational Approaches. Memory & Cognition, 36, 1057-1065.
Maddox, W.
T., Love, B. C., Glass, B. D., &
Filoteo, J. V. (2008). When more is less: Feedback effects in perceptual
category learning. Cognition, 108,
578-589.
Love, B. C., &
Gureckis, T. M. (2007). Models in search of a brain. Cognitive, Affective, & Behavioral Neuroscience, 90-108.
Jones, M., &
Love, B. C. (2007). Beyond common features: The role of roles in determining
similarity. Cognitive Psychology, 55,
196-231.
Sakamoto, Y.,
& Love, B. C. (2006). Vancouver, Toronto, Montreal, Austin: Enhanced
oddball memory through differentiation, not isolation. Psychonomic
Bulletin & Review, 13, 474-479.
Jones, M., Love,
B. C., & Maddox, W. T. (2006) Recency as a window to generalization:
Separating decisional and perceptual sequential effects in category
learning. Journal of Experimental Psychology:
Learning, Memory, and Cognition, 32,
316-332.
Love, B. C.
(2005). Environment and goals jointly direct category acquisition. Current Directions in Psychological Science,
14, 195-199.
Sakamoto, Y., & Love, B. C. (2004).
Schematic influences on category learning and recognition memory. Journal of Experimental Psychology: General,
133, 534-553.
Love, B. C., Medin, D. L., & Gureckis, T. M.
(2004). SUSTAIN: A network model of category learning. Psychological Review, 111,
309-332.
Gureckis,
T. M., & Love, B. C. (2004). Common mechanisms in infant and adult category
learning. Infancy, 5, 173-198.
Larkey, L. B., & Love, B. C. (2003). CAB:
Connectionist analogy builder. Cognitive
Science, 27, 781-794.
Gureckis,
T. M., & Love, B. C. (2003). Human unsupervised and supervised learning as
a quantitative distinction. International
Journal of Pattern Recognition and Artificial Intelligence, 17, 885-901.
Love, B. C., & Markman, A. B. (2003). The
nonindependence of stimulus properties in human category learning. Memory & Cognition, 31, 790-799.
Love, B. C. (2003). The multifaceted nature of
unsupervised category learning. Psychonomic
Bulletin & Review, 10,
190-197.
Gureckis, T. M., & Love, B. C. (2003).
Towards a unified account of supervised and unsupervised category learning. Journal of Experimental and Theoretical Artificial Intelligence, 15, 1-24.
Love, B. C.
(2002). Comparing supervised and unsupervised category learning. Psychonomic Bulletin & Review, 9, 829-835.
Yamauchi,
T., Love, B. C., & Markman, A. B. (2002). Learning non-linearly separable
categories by inference and classification. Journal
of Experimental Psychology: Learning, Memory, and Cognition, 28,
585-593.
Love, B.
C., Rouder, J. N., & Wisniewski, E. J. (1999). A structural account of
global and local processing. Cognitive
Psychology, 38, 291-316.
Sloman, S. A.,
Love, B. C., & Ahn, W. (1998). Feature centrality and conceptual coherence.
Cognitive Science, 22, 189-228.
Wisniewski, E. J.
& Love, B. C. (1998). Relations versus properties in conceptual
combination. Journal of Memory and
Language, 38, 177-202.
Peer Reviewed Proceedings
Parpart,
P., Schulz, E., Speekenbrink, M., & Love, B.C. (2015). Active learning as a
means to distinguish among prominent decision strategies. Proceedings of the
Cognitive Science Society.
Hoffman,
A.B., Love, B.C., & Markman, A.B. (2010). Selective Attention by Structural
Alignment: An Eyetracking Study. Proceedings of the Annual Meeting of Cognitive
Science Society. Mahwah, NJ:
Lawrence Erlbaum Associates.
Tomlinson, M.T., Howe, M., Love, B.C. (2009).
Seeing the world through an expert's eyes: Context-aware display as a training
companion. Proceedings of HCI
International, LNAI 5638, 668-677.
Love, B. C., Jones, M., Tomlinson, M.T., &
Howe, M. (2009). Learning to Predict Information Needs: Context-Aware Display
as a Cognitive Aid and an Assessment Tool. Proceedings
of The ACM SIGCHI Conf. on Human Factors in Computing Systems (CHI 2009),
1351-1360.
Sakamoto, Y,. & Love, B.C. (2009). You Only
Had to Ask Me Once: Long-term Retention Requires Direct Queries During
Learning. Proceedings of the Annual
Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum
Associates.
Otto, A.R., Gureckis, T.M., Markman, A.B.,
& Love, B.C. (2009). When Things Get
Worse before they Get Better: Regulatory Fit and Average-Reward Learning in a
Dynamic Decision-Making Environment. . Proceedings
of the Annual Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence
Erlbaum Associates.
Love, B. C., Jones, M., Tomlinson, M.T., &
Howe, M. (2008). Predicting information needs: Adaptive display in dynamic
environments. Proceedings of the Annual Meeting
of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Davis, T., Love, B.C., & Maddox, W.T.
(2008). How Goals Shape Category Acquisition: The Role of Contrasting
Categories. Proceedings of the Annual
Meeting of Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum
Associates.
Gureckis, T. M., & Love, B. C. (2007).
Behaviorism Reborn? Statistical Learning as Simple Conditioning. Proceedings of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates.
Davis, T., Love, B. C., & Maddox, W. T.
(2007). Translating From Perceptual to Cognitive Coding. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence
Erlbaum Associates.
Tomlinson, M., & Love, B. C. (2007).
Relation-Based Categories are Easier to Learn than Feature-Based Categories. Proceedings of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates.
Rein, J. R., Love, B. C., & Markman, A. B.
(2007). Feature Relations and Feature Salience in Natural Categories. Proceedings of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates.
Gureckis, T. M., & Love, B. C. (2006).
Bridging levels: Using a cognitive model to connect brain and behavior in
category learning. Proceedings of the
Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Love, B. C., & Jones, M. (2006). The
emergence of multiple learning systems. Proceedings
of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Sakamoto, Y., & Love, B. C. (2006). Sizable
sharks swim swiftly: Learning correlations through inference in a classroom
setting. Proceedings of the Cognitive
Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Sakamoto, Y., Love, B. C., & Jones, M.
(2006). Tracking variability in learning: Contrasting statistical and
similarity-based accounts. Proceedings of
the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Jones, M., Maddox, W. T., & Love, B.
C. (2006). The role of similarity in
generalization. Proceedings of the
Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Tomlinson, M., & Love, B. C. (2006). Learning abstract relations through
analogy to concrete exemplars. Proceedings
of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Tomlinson, M., & Love, B. C. (2006). From
pigeons to humans: Grounding relational learning in concrete examples. Twenty-First National Conference on Artificial
Intelligence (AAAI-2006), USA,
21, 136-141.
Gureckis, T. M., & Love, B. C. (2005). A
critical look at the mechanisms underlying implicit sequence learning. Proceedings of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates.
Jones, M., Maddox, W. T., & Love, B. C.
(2005). Stimulus generalization in category learning. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence
Erlbaum Associates.
Sakamoto, Y., & Love, B. C. (2005). A novel
approach to understanding novelty effects in memory. Proceedings of the Cognitive Science Society. Mahwah, NJ: Lawrence
Erlbaum Associates.
Jones, M., & Love, B. C. (2004). Beyond
common features: The role of roles in determining similarity. Proceedings of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates.
Sakamoto, Y., & Love, B. C. (2004).
Type/token information in category learning and recognition. Proceedings of the Cognitive Science
Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Love, B. C., & Gureckis, T. M. (2004). The
hippocampus: Where a cognitive model meets cognitive neuroscience. Proceedings of the Cognitive Science Society.
Mahwah, NJ: Lawrence Erlbaum Associates.
Sakamoto, Y., Matuska, T., & Love, B. C.
(2004). Dimension-wide vs.
exemplar-specific attention in category learning and recognition. In M. Lovett, C. Schunn, C. Lebiere, and P.
Munro (Eds.), Proceedings of the
International Conference of Cognitive Modeling (pp. 261-266). Mahwah, New
Jersey: Lawrence Erlbaum.
Sakamoto, Y., & Love, B. C. (2003).
Category structure and recognition memory. Proceedings
of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates.
Gureckis, T. M., & Love, B. C. (2002).
Modeling unsupervised learning with SUSTAIN. In S. Haller & G. Simmons
(Eds.), Proceedings of the 15th
international Florida artificial intelligence research society conference
(pp. 163-167). Menlo Park, California: AAAI Press.
Gureckis, T. M., & Love, B. C. (2002). Who
says models can only do what you tell them? Unsupervised category learning
data, fits, and predictions. Proceedings
of the Cognitive Science Society, USA, 24,
399-404.
Love, B. C.,
Markman, A. B., & Yamauchi, T. (2000). Modeling classification and
inference learning. Seventeenth National
Conference on Artificial Intelligence (AAAI-2000), USA, 17, 136-141.
Love, B. C.
(2000). A computational level theory of similarity. Proceedings of the Cognitive Science Society, USA, 22, 316-321.
Love, B. C.
(2000). Learning at different levels of abstraction. Proceedings of the Cognitive Science Society, USA, 22, 800-805.
Love, B. C.
(1999). Utilizing time: Asynchronous binding. Advances in Neural Information Processing Systems, 11, 38-44.
Love, B.
C., & Medin, D. L. (1998). SUSTAIN: A model of human category learning. Proceedings of the Fifteenth National
Conference on Artificial Intelligence (AAAI-98), USA, 15, 671-676.
Love, B.
C., & Medin, D. L. (1998). Modeling item and category learning. Proceedings of the Twentieth Annual
Conference of the Cognitive Science Society, USA, 20, 639-644.
Love, B. C.
(1996). Mutability, conceptual transformation, and context. Proceedings of the Eighteenth Annual
Conference of the Cognitive Science Society, USA, 18, 459-463.
Love, B.
C., & Sloman, S. A. (1995). Mutability and the determinants of conceptual
transformability. Proceedings of the
Seventeenth Annual Conference of the Cognitive Science Society, USA, 17, 654-659.
Publications – Other
Love, B.C.
(20-Oct 2016). Will AI spell the end of humanity? The tech industry wants you
to think so. The Conversation.
Love, B.C.
(7-May 2015). Gaming improves your brain power - reality or hype? The
Conversation.
Gureckis,
T.M., & Love, B.C. (2015). Computational Reinforcement Learning. Oxford
Handbook of Computational and Mathematical Psychology (Eds. J.R. Busemeyer,
J.T. Townsend, Z.J. Wang, A Eidels). Oxford University Press.
Love, B.C. (2015). Concepts, Meaning, and
Conceptual Relationships. The Oxford
Handbook of Cognitive Science. http://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780199842193.001.0001/oxfordhb-9780199842193-e-12
Love, B. C. (2013). Grounding quantum probability in psychological
mechanism. Behavioral and Brain Sciences, 36, 296.
Love, B.C. (2013). Category Learning, Computational Perspectives. In Hal
Pashler (Ed.), Encyclopedia of the Mind, Sage.
Love, B.C. (2013). Categorization. In K.N. Ochsner and S.M. Kosslyn
(Eds.) Oxford Handbook of Cognitive Neuroscience, 342-358. Oxford Press.
Love, B.C., & Jones, M. (2012). Bayesian Learning. In B. Seel (Ed.),
Encyclopedia of the Sciences of Learning. Springer.
Love, B. C., & Tomlinson, M. (2010). Rule-based vs. similarity-based
concept learning. In Denis Mareschal,
Paul Quinn, Stephen Lea (Eds.), The
Making of Human Concepts. Oxford University Press, 54-74.
Tomlinson, M.T., & Love, B. C. (2008).
Monkey see, monkey do: Learning relations through concrete examples. Behavioral and Brain Sciences, 31,
150-151.
Love, B.C.,
Tomlinson, M., & Gureckis, T.M. (2008). The concrete substrates of abstract
rule use. In B.H. Ross, The Psychology of
Learning and Motivation, 49, 167-207.
Love, B. C.
(2007). Method and System for Adapting Display to Match User-Specific
Information Preferences. Provisional Patent filed through UT.
Love, B. C.
(2005). Method and apparatus for incorporating decision making into
classifiers. US Patent #6,920,439.
Love, B. C. (2005). In vivo or in vitro:
Cognitive architectures and task specific models. In R. W. Pew and K. A. Gluck,
Modeling Human Behavior with Integrated
Cognitive Architectures: Comparison, Evaluation, and Validation. 351-364.
Mahwah, NJ: Lawrence Erlbaum.
Love, B. C., & Gureckis, T. M. (2005).
Modeling learning under the influence of culture. In W. Ahn, R. L., Goldstone,
B. C., Love, A. B., Markman, & P. Wolff (Eds.), Categorization inside and outside of the lab: Festschrift in Honor of
Douglas L. Medin. 229-248. Washington, DC: American Psychological Association.
Ahn, W., Goldstone, R. L., Love, B. C.,
Markman, A. B., & Wolff, P. (Eds.). (2005). Categorization inside and outside of the lab: Festschrift in Honor of
Douglas L. Medin. Washington, DC: American Psychological Association.
Love, B. C. (2003). Concept learning. In L. Nadel
(Ed.), Encyclopedia of cognitive science
(Vol. 1, pp. 646-652). London: Nature Publishing Group.
Love, B. C.
(2002). Similarity and Categorization: A review [Review of the book Similarity and Cognition]. AI Magazine, 23, 103-105.
Love, B. C.
(2002). Three deadly sins of category learning modelers. Behavioral and Brain Sciences, 24,
687-688.
Love, B. C. (2001). Uncovering analogy [Review
of the book The Analogical Mind]. Trends in Cognitive Sciences, 5, 454-455.
INVITED TALKS (not
submitted conference papers, symposia, or abstracts)
6/2018 TBA keynote, for
Multi-Disciplinary Developmental Dynamics (ETF2018).
5/2018 TBA, Santa Fe Institute,
working group on “Distributed Decision Making: Universal features of decision
making via collective computation”.
5/2018 TBA, Cambridge CBU.
5/2018 TBA, SBDM, Symposium on
Biology of Decision Making, Paris.
3/2018 "Attention as
Uncertainty-Minimising Information Sampling”, reinforcement learning workshop
at COSYNE in Colorado.
2/2018 “Heuristics as Bayesian
inference under extreme priors” keynote, for “Computational modeling of
decision-making across scales: from neural coding to Policy-making”, Paris.
8/2017 “Different Modes of
Exploration”, Invited to join a symposium at ICON, Amsterdam.
5/2017 “Exploration with
Objective and Subjective Awards”, Warwick Business School.
2/2017 “Predicting and
Understanding Consumer Behaviour”, Keynote, Microsoft Tech Days.
11/2016 “Predicting and
Understanding Human Behaviour”, keynote address at Big Data Analytics, London.
11/2016 “Tuning Conceptual
Knowledge through Hippocampal-Prefrontal Interactions”, University of Glasgow.
8/2016 “Coherency Maximizing
Exploration in the Supermarket”, Invited Symposium organised by Dan Bartels,
Int. Conference on Thinking.
6/2016 “Psychology meets Big
Data in the Supermarket”, Knowledge Exchange Event, British Museum.
3/2016 “People's Inductive
Biases in Learning and Decision Making”, Keynote at Visual Analytics event at
the Alan Turing Institute.
3/2016 “The Categorising
Brain”, University of Edinburgh.
3/2016 “The Categorising
Brain”, University of Sussex.
11/2015 Food Matters Live.
10/2015 “Optimal Teaching to Infer
the Nature of the Human Learner and Knowledge Organisation”, Conference on
Complex Systems.
8/2015 Ogilvy Change Summer
School.
5/2015 “Do People and
Intelligent Machines Make Decisions in the Same Way?” Pint of Science, London.
5/2015 “Apparent attentional
limits during learning as limits in memory retrieval”, Workshop on Memory
Processes in Judgment and Decision Making, hosted by University of Basel.
4/2015 “Do we make food choices
rationally?” write-up in Lancet: http://t.co/rTrFo87FnJ, Edinburgh International Science Festival.
3/2015 “Decoding the Brain's
Algorithm for Categorisation from its Neural Implementation”, University of
Plymouth.
1/2015 “Decoding
the Brain's Algorithm for Categorisation from its Neural Implementation”,
Institute of Psychiatry, King's College London
1/2015 “Decoding the Brain's
Algorithm for Categorisation from its Neural Implementation”, 2015 EPS
semantics symposium.
9/2014 “Decoding the Brain's
Algorithm for Categorisation from its Neural Implementation”, NYU.
5/2014 “Exploration and
Exploitation: Converging Computational, Physiological, Psychiatric, Genetic,
and Consumer-Choice Perspectives”, University of Bristol.
9/2014 “Decoding the Brain's
Algorithm for Categorisation from its Neural Implementation,” NYU.
5/2014 “Exploration and
Exploitation: Converging Computational, Physiological, Psychiatric, Genetic,
and Consumer-Choice Perspectives,” University of Bristol.
3/2014 “Decoding the Brain's
Algorithm for Categorisation from its Neural Implementation,” University of Lueven.
2/2014 “Limits in decision making arise from
limits in memory retrieval,” University of Basel.
2/2014 “Gaming as a Convergence
Point of Cognitive Science Theory and Practice,” HULT International Business School,
London.
1/2014 “Decoding the Brain's
Algorithm for Categorisation from its Neural Implementation”, MRC-Cognition and
Brain sciences Unit at Cambridge University.
11/2013 “Improving Cognitive
Function Through Gaming”, Decision-making in neurological rehabilitation
Inaugural Symposium, Centre for Neurorehabilitation @UCLP.
8/2013 “Limits in Decision
Making Reflect Limits in Memory Retrieval”, dunnhumby Corportation, London, UK.
6/2013 AECT International
Conference on the Frontier in e-Learning Research, Taipei, Taiwan.
5/2013 “Limits in Decision
Making Reflect Limits in Memory Retrieval”, Workshop on Integrating Approaches
to Computational Cognition, Sponsored by the National Science Foundation,
Arlington, VA, USA.
3/2013 “Limits in Decision
Making Reflect Limits in Memory Literature”, Computational Models of Cognition
Workshop, Birkbeck.
2/2013 “Limits in Decision
Making Reflect Limits in Memory Literature”, London JDM group.
2/2013 “Linking Brain,
Behaviour, and Computation in Category Learning”, City University London
11/2012 “Cognitive Psychology in
Service of Retail”, dunnhumby corporation, London, UK.
9/2012 “Linking Brain,
Behaviour, and Computation in Category Learning”, Center for Cognitive Neuroscience.
University of Pennsylvania.
8/2012 Talks at National Taiwan
University of Science and Technology (NTUST), Taipei, Taiwan, and National
Central University (NCU), Jhongli City, Taiwan.
8/2012 Invited symposium, “Thirty
years of Marr's Vision: Levels of Analysis in Cognitive Science “, Annual
Meeting of the Cognitive Science Society, Sapporo, Japan.
6/2012 “Boosting
Executive Function through Video Game Training”, Cognitive Control and
Associative Learning workshop, Exeter, UK.
4/2012 “Linking
Brain, Behaviour, and Computation in Category Learning”, Swansea University.
3/2012 “Linking
Brain, Behaviour, and Computation in Category Learning”, Wellcome Functional
Imaging Laboratory, UCL.
3/2012 “Linking
Brain, Behaviour, and Computation in Category Learning”, University of Oxford.
3/2012 “Linking
Brain, Behaviour, and Computation in Category Learning”, University of Warwick.
2/2012 “Linking
Brain, Behaviour, and Computation in Category Learning”, Birkbeck, University
of London.
12/2011 “Learning
the exception to the rule,” Department of Linguistics, University of Texas at
Austin
4/2011 Panellist,
“Sustainable Design Symposium 2011,” hosted by Kate Catterall.
2/2011 “The
Memory and Attention Interface,” Brown University.
2/2011 “Attention
as a Consequence of Dynamic Decision Making,” UNSW.
1/2011 “Attention
as a Consequence of Dynamic Decision Making,” UCL.
11/2010 “Looking
to Learn, Learning to Look: Attention Emerges from Cost Sensitive Information
Sampling”, Workshop on Persistent & Generative Cognitive Models, funded and
hosted by Air Force Research Laboratory (Mesa, AZ).
5/2010 “When
Short- and Long-Term Rewards Conflict,” Cognitive Science Program, Simon Fraser
University.
3/2010 “Putting
the Pieces Together: Contributions and Interactions of Various Learning
Systems,” University of Iowa.
10/2009 “The
Bayesian Program as Progeny of Evolutionary Psychology and Behaviorism,” CDS
Pre-Conference talk, sponsored by the DELTA center and organized by John
Spencer.
8/2009 “The
not so abstract nature of concepts, rules, and grammar,” address to Max Planck
Institute for Psycholinguistics (Nijmegen, NL).
8/2009 “Connectionist
Perspectives on the Development of Category Learning Abilities,” development
and modelling symposium organized by Maartje Raijmakers, Amsterdam, The
Netherlands.
11/2008 “Category
Learning by Clustering with Extension to Dynamic Environments,” AFOSR Cognition
& Decision Program Workshop, Washington, D.C. Hosted by Jun Zhang.
8/2008 “Where
do we get new research ideas?” Connecting probabilistic models of cognition and
neural networks workshop, Hosted by Tom Griffiths and Jay McClelland, Berkeley,
CA.
6/2008 “The
Role of Initial Conditions in Concept Organization,” Concept Modelling
Workshop, University of Lueven, Belgium.
5/2008 “Using
Mechanistic (non-rational) Models of Learning to Link Behavior, Brain, and
Body,” Keynote, Perceptual Expertise Network (PEN) Workshop XVI in Banff,
Canada.
5/2008 “Using
Mechanistic (non-rational) Models of Learning to Link Behavior, Brain, and
Body,” Department of Psychology, Ohio State.
12/2007 “Anticipating
Information Needs: Adaptive Display in Dynamic Environments,” Sustaining
Performance Under Stress Symposium, Center for Strategic and Innovative
Technologies, Austin, TX.
9/2007 “Human
Inference Mechanisms,” Cowles Foundation for Research in Economics, Yale
University, workshop on "Analogies, Rules, and Probabilities."
3/2007 “Learning
by Example with Extension to Dynamic Environments,” AFOSR Cognition &
Decision Program Workshop, Washington, D.C.
2/2007 “The
Emergence of Multiple Learning Systems,” University of Arizona.
2/2007 “Putting
the Psychology Back Into Psychological Models,” AFOSR sponsored workshop in
Dynamic Decision Making, Dayton, OH.
11/2006 “The
Emergence of Multiple Learning Systems,” University of Louisiana.
7/2006 “The
Emergence of Multiple Learning Systems,” ICOM, Sydney, Australia.
7/2006 “Models
in Search of a Brain,” workshop, Margaret River, Australia.
6/2006 “The
Emergence of Multiple Learning Systems,” UWA, Australia.
4/2006 “The
Emergence of Multiple Learning Systems,” AFOSR Cognition & Decision Program
Workshop, Dayton, OH.
4/2006 “The
Emergence of Multiple Learning Systems,” APA Convention Invited Division 3
speaker, New Orleans, LA.
10/2005 Speaker/Symposium
Organizer, “The Cognitive Neuroscience of Category Learning,” at the
Computational Cognitive Neuroscience Conference, Washington, D.C.
9/2005 “Acquiring
Knowledge One Cluster at a Time,” Department of Psychology, New York
University, NYC.
7/2005 “Exemplar-based
relational category learning,” Annual Summer Interdisciplinary Conference
(ASIC) 2005, Briançon, France.
6/2005 Workshop
Participant, NSF sponsored “Dynamical and Connectionist Accounts of
Development,” University of Iowa, organized by John Spencer and Jay McClelland.
5/2005 “A
Clustering Account of Human Categorization,” Department of Psychology,
University of Sydney, Australia.
4/2005 “Cluster-based
Modeling of Human Learning: Joint Influences of Task and Environment,” AFOSR
Perception & Cognition Program Workshop, St. Augustine, FL.
4/2005 “Environment
and goals jointly direct category acquisition,” Department of Psychology, Texas
A&M, College Station, TX.
2/2005 Keynote
speaker for Lake Ontario Visionary Establishment Conference.
2/2005 “Beyond common features: The role of roles in
determining similarity. ” Department of Psychology, The University of Western
Ontario.
1/2005 “Clustering Account of Human Learning”
Department of Psychology, Stanford University.
1/2005 “Clustering Account of Human Learning” Department of
Psychology, UCSD.
10/2004 “Bridging Levels: A Cognitive Model of Hippocampal
Mediated Learning,” J. S. McDonnell Foundation meeting on the cognitive neuroscience of
category learning, New York City, NY.
9/2004 “Bridging Levels: A Cognitive Model of
Hippocampal Mediated Learning” Department of Communication Sciences and
Disorders, The University of Texas at Austin.
6/2004 “Infants,
amnesiacs, aging, and the MTL,” Annual Summer Interdisciplinary Conference
(ASIC) 2004, Dolomiti, Italy.
3/2004 “A
Clustering Account of Human Learning,” AFOSR Perception & Cognition Program
Workshop, Phoenix, AZ.
2/2004 “Human
Learning, Memory, and the Categories in and Imposed on Our World,” UT Odyssey
lecture, Austin, TX.
1/2004 “A
Clustering Account of Human Category Learning,” Caltech, Computation and Neural
Systems, Pasadena, CA.
11/2003 “Infants,
Amnesiacs, and the MTL,” ARMADILLO, Texas A&M, College Station, TX.
9/2003 “Category
Learning in Infants and Amnesiacs,” J. S. McDonnell Foundation meeting on the
cognitive neuroscience of category learning, New York City, NY.
6/2003 “The
influence of culture on conceptual organization,” talk given at a conference to
honour Douglas Medin, Chicago Botanical Gardens, Chicago, IL.
9/2002 “Two
systems or just one,” J. S. McDonnell Foundation meeting on the cognitive
neuroscience of category learning, New York City, NY.
8/2002 Invited
Discussant, AMBR symposium at the Cognitive Science Society Conference,
Washington, D.C.
11/2001 “Aging
effects in category learning,” Mind, Brain, & Behavior Forum Series,
Harvard University, Cambridge, MA.
7/2001 “Inference
and classification learning: Data and models,” ICOM-3: Third International
Conference on Memory. Valencia, Spain.
11/2000 “Modeling
Human Category Learning,” Forum for Artificial Intelligence, Department of
Computer Science, The University of Texas at Austin, Austin, TX.
10/2000 “Inference
and Classification Learning,” Association for Research in Memory, Attention,
Decision-making, Intelligence, Language, Learning& Organization
(ARMADILLO), Texas A&M, College Station, TX.
2/1999 “SUSTAIN:
A Clustering Account of Category Learning,” Psychology Department, Columbia
University, New York City, NY.