Tom Griffiths - RankMe

127 papers A* 17B 106Journal 2Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Social physics in the age of artificial intelligence. CoRR The Anh Han, Joel Z. Leibo, Tom Griffiths, Iyad Rahwan, Fernando Santos, Matjaz Perc, Valerio Capraro
2025	B	`conf`	A Normative Account of Specialization: How Task and Environment Shape Role Differentiation in Collaboration. CogSci Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil R. Bramley, Christopher Guy Lucas, Natalia Vélez, Tom Griffiths
2025	B	`conf`	Characterizing the Interaction of Cultural Evolution Mechanisms in Experimental Social Networks. CogSci Raja Marjieh, Manuel Anglada-Tort, Tom Griffiths, Nori Jacoby
2025	B	`conf`	Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation. CogSci Max Gupta, Sunayana Rane, R. Thomas McCoy, Tom Griffiths
2025	B	`conf`	Discovering Hidden Laws in Innovation by Recombination. CogSci Bonan Zhao, Elizabeth Mieczkowski, Dilip Arumugam, Natalia Vélez, Tom Griffiths
2025	B	`conf`	Eliciting the Priors of Large Language Models using Iterated In-Context Learning. CogSci Jian-Qiao Zhu, Tom Griffiths
2025	B	`conf`	Exploring resource-rational planning under time pressure in online chess. CogSci Ionatan Kuperwajs, Evan M. Russek, Lisa Schut, Yotam Sagiv, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths
2025	B	`conf`	Generation and Evaluation in the Human Invention Process through the Lens of Game Design. CogSci Katherine M. Collins, Graham Todd, Cedegao E. Zhang, Adrian Weller, Julian Togelius, Junyi Chu, Lionel Wong, Tom Griffiths, Joshua B. Tenenbaum
2025	B	`conf`	Improving Interpersonal Communication by Simulating Audiences with Large Language Models. CogSci Ryan Liu, Howard Yen, Raja Marjieh, Tom Griffiths, Ranjay Krishna
2025	B	`conf`	Learning a Doubly-Exponential Number of Concepts From Few Examples. CogSci Ilia Sucholutsky, Bonan Zhao, Hee Seung Hwang, Allison Chen, Olga Russakovsky, Tom Griffiths
2025	B	`conf`	Learning in online chess increases with more time spent thinking and diversity of experience. CogSci Lisa Schut, Evan M. Russek, Ionatan Kuperwajs, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths
2025	B	`conf`	Meta-reasoning: Deciding which game to play, which problem to solve, and when to quit. CogSci Lionel Wong, Tracey Mills, Ionatan Kuperwajs, Katherine M. Collins, Tom Griffiths
2025	B	`conf`	Reasoning Across Minds and Machines. CogSci Hanbo Xie, Jian-Qiao Zhu, Huadong Xiong, Robert C. Wilson, Tom Griffiths
2025	B	`conf`	Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks. CogSci Gianluca M. Bencomo, Max Gupta, Ioana Marinescu, R. Thomas McCoy, Tom Griffiths
2025	B	`conf`	The role of language in human and machine intelligence. CogSci Gary Lupyan, Sean Trott, Martin Zettersten, Hunter Gentry, Tom Griffiths, Anna A. Ivanova
2025	B	`conf`	Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence. CogSci Cameron Rouse Turner, Dilip Arumugam, Logan Nelson, Tom Griffiths
2025	B	`conf`	Understanding Task Representations in Neural Networks via Bayesian Ablation. CogSci Andrew Nam, Declan I. Campbell, Tom Griffiths, Jonathan Cohen, Sarah-Jane Leslie
2024	A*	`conf`	A Metalearned Neural Circuit for Nonparametric Bayesian Inference. NeurIPS Jake Snell, Gianluca M. Bencomo, Tom Griffiths
2024	B	`conf`	A Rational Analysis of the Speech-to-Song Illusion. CogSci Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Tom Griffiths, Nori Jacoby
2024	B	`conf`	A Rational Model of Innovation by Recombination. CogSci Bonan Zhao, Natalia Vélez, Tom Griffiths
2024	B	`conf`	A Rational Model of Vigilance in Motivated Communication. CogSci Kerem Oktar, Theodore R. Sumers, Tom Griffiths
2024	B	`conf`	Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning. CogSci Liyi Zhang, Logan Nelson, Tom Griffiths
2024	B	`conf`	Analyzing the Roles of Language and Vision in Learning from Limited Data. CogSci Allison Chen, Ilia Sucholutsky, Olga Russakovsky, Tom Griffiths
2024	B	`conf`	Can Generative Multimodal Models Count to Ten? CogSci Sunayana Rane, Alexander Ku, Jason Baldridge, Ian Tenney, Tom Griffiths, Been Kim
2024	B	`conf`	Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction. CogSci Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths
2024	B	`conf`	Concept Alignment as a Prerequisite for Value Alignment. CogSci Sunayana Rane, Mark K. Ho, Ilia Sucholutsky, Tom Griffiths
2024	B	`conf`	Distilling Symbolic Priors for Concept Learning into Neural Networks. CogSci Ioana Marinescu, R. Thomas McCoy, Tom Griffiths
2024	B	`conf`	Higher cognition in large language models. CogSci Nicholas Ichien, Sudeep Bhatia, Anna A. Ivanova, Taylor W. Webb, Tom Griffiths, Marcel Binz
2024	B	`conf`	Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CogSci Declan I. Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan Cohen, Tom Griffiths
2024	B	`conf`	Incoherent Probability Judgments in Large Language Models. CogSci Jian-Qiao Zhu, Tom Griffiths
2024	A*	`conf`	Learning Human-like Representations to Enable Learning Human Values. NeurIPS Andrea Wynn, Ilia Sucholutsky, Tom Griffiths
2024	B	`conf`	Many Hands Don't Always Make Light Work: Explaining Social Loafing via Multiprocessing Efficiency. CogSci Elizabeth Mieczkowski, Cameron Rouse Turner, Natalia Vélez, Tom Griffiths
2024	B	`conf`	Modeling Cognitive Strategies in Teaching: Integrating Theory of Mind and Heuristics. CogSci Sevan K. Harootonian, Yael Niv, Tom Griffiths, Mark K. Ho
2024	B	`conf`	Modeling the Contributions of Capacity and Control to Working Memory Development. CogSci Evan M. Russek, Cameron Rouse Turner, Emma McEwen, Andreea Miruna Miscov, Amanda Seed, Tom Griffiths
2024	B	`conf`	Program-Based Strategy Induction for Reinforcement Learning. CogSci Carlos G. Correa, Tom Griffiths, Nathaniel D. Daw
2024	B	`conf`	Publish or Perish: Simulating the Impact of Publication Policies on Science. CogSci Marina Mancoridis, Theodore R. Sumers, Tom Griffiths
2024	B	`conf`	Reaching Consensus through Theory of Mind in Social Networks with Locally Distributed Interactions. CogSci Daphne Barretto, Raja Marjieh, Tom Griffiths
2024	B	`conf`	Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo. CogSci Jian-Qiao Zhu, Haijiang Yan, Tom Griffiths
2024	A*	`conf`	Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract). AAAI Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho
2024	B	`conf`	Studying the Effect of Globalization on Color Perception using Multilingual Online Recruitment and Large Language Models. CogSci Jakob Pete Niedermann, Ilia Sucholutsky, Raja Marjieh, Elif Çelen, Tom Griffiths, Nori Jacoby, Pol van Rijn
2024	B	`conf`	The Influence of Social Information and Presentation Interface on Aesthetic Evaluations. CogSci Yoko Urano, Raja Marjieh, Tom Griffiths, Nori Jacoby
2024	A*	`conf`	Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem. NeurIPS Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven Frankland, Tom Griffiths, Jonathan D. Cohen, Taylor W. Webb
2024	B	`conf`	Using Compositionality to Learn Many Categories from Few Examples. CogSci Ilia Sucholutsky, Bonan Zhao, Tom Griffiths
2023	A*	`conf`	Alignment with human representations supports robust few-shot learning. NeurIPS Ilia Sucholutsky, Tom Griffiths
2023	B	`conf`	Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms. CogSci Feng Xia, Jian-Qiao Zhu, Tom Griffiths
2023	B	`conf`	Computation-Limited Bayesian Updating. CogSci Jian-Qiao Zhu, Adam Sanborn, Nick Chater, Tom Griffiths
2023	A*	`conf`	Gaussian Process Probes (GPP) for Uncertainty-Aware Probing. NeurIPS Zi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths, Been Kim
2023	A*	`conf`	Im-Promptu: In-Context Composition from Image Prompts. NeurIPS Bhishma Dedhia, Michael Chang, Jake Snell, Tom Griffiths, Niraj K. Jha
2023	B	`conf`	Large language models meet cognitive science: LLMs as tools, models, and participants. CogSci Mathew D. Hardy, Ilia Sucholutsky, Bill Thompson, Tom Griffiths
2023	B	`conf`	Predicting Word Learning in Children from the Performance of Computer Vision Systems. CogSci Sunayana Rane, Mira L. Nencheva, Zeyu Wang, Casey Lew-Williams, Olga Russakovsky, Tom Griffiths
2023	B	`conf`	The joint evolution of sensory systems and decision policy allows cognition. CogSci Cameron Rouse Turner, Thomas J. H. Morgan, Tom Griffiths
2023	B	`conf`	To each their own theory: Exploring the limits of individual differences in decisions under risk. CogSci Joshua C. Peterson, Marina Mancoridis, Tom Griffiths
2023	A*	`conf`	Tree of Thoughts: Deliberate Problem Solving with Large Language Models. NeurIPS Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan
2023	B	`conf`	What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. CogSci Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Tom Griffiths
2022	B	`conf`	Can Humans Do Less-Than-One-Shot Learning? CogSci Maya Malaviya, Ilia Sucholutsky, Kerem Oktar, Tom Griffiths
2022	A*	`conf`	Distinguishing rule and exemplar-based generalization in learning systems. ICML Ishita Dasgupta, Erin Grant, Tom Griffiths
2022	A*	`conf`	How to talk so AI will learn: Instructions, descriptions, and autonomy. NeurIPS Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths, Dylan Hadfield-Menell
2022	A*	`conf`	Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation. NeurIPS Michael Chang, Tom Griffiths, Sergey Levine
2022	B	`conf`	Predicting Human Similarity Judgments Using Large Language Models. CogSci Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers, Nori Jacoby, Tom Griffiths
2022	A*	`conf`	Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
2021	B	`conf`	A Rational Account of Anchor Effects in Hindsight Bias. CogSci Samarie A. Wilson, Somya Arora, Qiong Zhang, Tom Griffiths
2021	B	`conf`	Are Convolutional Neural Networks or Transformers more like human vision? CogSci Shikhar Tuli, Ishita Dasgupta, Erin Grant, Tom Griffiths
2021	B	`conf`	Extending rational models of communication from beliefs to actions. CogSci Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths
2021	B	`conf`	Modeling rules and similarity in colexification. CogSci Sammy Floyd, Kavindya Dalawella, Adele Goldberg, Casey Lew-Williams, Tom Griffiths
2021	A*	`conf`	Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment. ICML Michael Chang, Sidhant Kaushik, Sergey Levine, Tom Griffiths
2021	B	`conf`	Mutual Exclusivity as Competition in Cross-situational Word Learning. CogSci Zahra Shekarchi, Aida Nematzadeh, Tom Griffiths, Suzanne Stevenson
2021	B	`conf`	Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. CogSci Robert D. Hawkins, Irina Liu, Adele Goldberg, Tom Griffiths
2021	B	`conf`	The Dynamics of Exemplar and Prototype Representations Depend on Environmental Statistics. CogSci Arjun Devraj, Qiong Zhang, Tom Griffiths
2020	B	`conf`	A rational model of sequential self-assessment. CogSci Rachel Jansen, Anna N. Rafferty, Tom Griffiths
2020	B	`conf`	Analogy as Nonparametric Bayesian Inference over Relational Systems. CogSci Ruairidh M. Battleday, Tom Griffiths
2020	A*	`conf`	Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions. ICML Michael Chang, Sidhant Kaushik, S. Matthew Weinberg, Tom Griffiths, Sergey Levine
2020	B	`conf`	Downloading Culture.zip: Social learning by program induction. CogSci Max Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman
2020	B	`conf`	End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior. CogSci Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Tom Griffiths
2020	B	`conf`	Extracting low-dimensional psychological representations from convolutional neural networks. CogSci Aditi Jha, Joshua C. Peterson, Tom Griffiths
2020	B	`conf`	Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. CogSci Robert X. D. Hawkins, Noah D. Goodman, Adele E. Goldberg, Tom Griffiths
2020	B	`conf`	Investigating the Behavior of Malicious Actors Through the Game of Mafia. CogSci Samee Ibraheem, Vael Gates, John DeNero, Tom Griffiths
2020	B	`conf`	Optimal nudging. CogSci Frederick Callaway, Mathew D. Hardy, Tom Griffiths
2020	B	`conf`	Population-level amplification of perceptual bias. CogSci Mathew D. Hardy, Bill Thompson, Peter M. Krafft, Tom Griffiths
2020	B	`conf`	Resource-rational Task Decomposition to Minimize Planning Costs. CogSci Carlos G. Correa, Mark K. Ho, Frederick Callaway, Tom Griffiths
2020	B	`conf`	Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation. CogSci Theodore R. Sumers, Mark K. Ho, Tom Griffiths
2020	B	`conf`	The method of loci is an optimal policy for memory search. CogSci Qiong Zhang, Kenneth A. Norman, Tom Griffiths
2020	B	`conf`	Universal linguistic inductive biases via meta-learning. CogSci Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen
2020	B	`conf`	Workshop on Scaling Cognitive Science. CogSci Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne
2019	B	`conf`	Automated cognitive modeling with Bayesian active model selection. CogSci Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths
2019	B	`conf`	Compositional subgoal representations. CogSci Carlos G. Correa, Frederick Callaway, Mark K. Ho, Tom Griffiths
2019	B	`conf`	Demonstrating the Impact of Prior Knowledge in Risky Choice. CogSci Mathew D. Hardy, Tom Griffiths
2019	B	`conf`	Extending Rationality. CogSci Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin
2019	B	`conf`	Human-level but not human-like: Deep Reinforcement Learning in the dark. CogSci Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths
2019	B	`conf`	If it's important, then I am curious: A value intervention to induce curiosity. CogSci Rachit Dubey, Tom Griffiths, Tania Lombrozo
2019	B	`conf`	Inductive Biases Constrain Cumulative Cultural Evolution. CogSci Bill Thompson, Tom Griffiths
2019	B	`conf`	Learning deep taxonomic priors for concept learning from few positive examples. CogSci Erin Grant, Joshua C. Peterson, Tom Griffiths
2019	B	`conf`	Modeling students' fraction arithmetic strategies using inverse planning. CogSci Anna N. Rafferty, Rachel Jansen, Tom Griffiths
2019	A*	`conf`	On the Utility of Learning about Humans for Human-AI Coordination. NeurIPS Micah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan
2019	B	`conf`	Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. CogSci Thomas A. Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths
2019	A*	`conf`	Reconciling meta-learning and continual learning with online mixtures of tasks. NeurIPS Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller
2019	B	`conf`	The Computational Structure of Unintentional Meaning. CogSci Mark K. Ho, Joanna Korman, Tom Griffiths
2019	B	`conf`	Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. CogSci Mayank Agrawal, Joshua C. Peterson, Tom Griffiths
2018	B	`conf`	A new similarity measure to reveal individual differences and growth in implicit number conceptions. CogSci Rachel Jansen, Ruthe Foushee, Tom Griffiths
2018	B	`conf`	A resource-rational analysis of human planning. CogSci Frederick Callaway, Falk Lieder, Priyam Das, Sayan Gul, Paul M. Krueger, Tom Griffiths
2018	—	`conf`	Capturing Human Category Representations by Sampling in Deep Feature Spaces. ICLR (Workshop) Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths
2018	B	`conf`	Capturing human category representations by sampling in deep feature spaces. CogSci Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths
2018	B	`conf`	Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. CogSci Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths
2018	A*	`conf`	Investigating Human Priors for Playing Video Games. ICML Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros
2018	B	`conf`	Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CogSci Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths
2018	B	`conf`	Learning a face space for experiments on human identity. CogSci Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths
2018	B	`conf`	Levels of Analysis in Computational Social Science. CogSci Peter M. Krafft, Tom Griffiths
2018	B	`conf`	Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment. CogSci Rachel Jansen, Anna N. Rafferty, Tom Griffiths
2018	B	`conf`	Recommendation as Generalization: Evaluating Cognitive Models In the Wild. CogSci David Bourgin, Joshua T. Abbott, Tom Griffiths
2018	B	`conf`	Representational efficiency outweighs action efficiency in human program induction. CogSci Sophia Sanborn, David Bourgin, Michael Chang, Tom Griffiths
2018	B	`conf`	Shaping Model-Free Habits with Model-Based Goals. CogSci Paul M. Krueger, Tom Griffiths
2017	—	`conf`	A graph-theoretic approach to multitasking. NIPS Noga Alon, Daniel Reichman, Igor Shinkar, Tal Wagner, Sebastian Musslick, Jonathan D. Cohen, Tom Griffiths, Biswadip Dey, Kayhan Özcimder
2017	B	`conf`	A rational analysis of curiosity. CogSci Rachit Dubey, Tom Griffiths
2017	B	`conf`	Algebra is not like trivia: Evaluating self-assessment in an online math tutor. CogSci Rachel Jansen, Anna N. Rafferty, Tom Griffiths
2017	B	`conf`	An automatic method for discovering rational heuristics for risky choice. CogSci Falk Lieder, Paul M. Krueger, Tom Griffiths
2017	B	`conf`	Discovering simple heuristics from mental simulation. CogSci Frederick Callaway, Jessica B. Hamrick, Tom Griffiths
2017	B	`conf`	Enhancing metacognitive reinforcement learning using reward structures and feedback. CogSci Paul M. Krueger, Falk Lieder, Tom Griffiths
2017	B	`conf`	Evaluating vector-space models of analogy. CogSci Dawn Chen, Joshua C. Peterson, Tom Griffiths
2017	B	`conf`	Exploring inductive bias of visual scenes. CogSci Jessica B. Hamrick, David Bourgin, Thomas A. Langlois, Tom Griffiths
2017	B	`conf`	Inferring Intentional Agents From Violation of Randomness. CogSci Yuan Meng, Tom Griffiths, Fei Xu
2017	B	`conf`	Modeling human categorization of natural images using deep feature representations. CogSci Ruairidh M. Battleday, Joshua C. Peterson, Tom Griffiths
2017	B	`conf`	The Structure of Goal Systems Predicts Human Performance. CogSci David Bourgin, Falk Lieder, Daniel Reichman, Nimrod Talmon, Tom Griffiths
2016	J	`jnl`	A Graph-Theoretic Approach to Multitasking. CoRR Jonathan D. Cohen, Biswadip Dey, Tom Griffiths, Sebastian Musslick, Kayhan Özcimder, Daniel Reichman, Igor Shinkar, Tal Wagner
2016	B	`conf`	Deciding to Remember: Memory Maintenance as a Markov Decision Process. CogSci Jordan W. Suchow, Tom Griffiths
2016	B	`conf`	Do Simple Probability Judgments Rely on Integer Approximation? CogSci Shaun O'Grady, Tom Griffiths, Fei Xu
2016	B	`conf`	Helping people make better decisions using optimal gamification. CogSci Falk Lieder, Tom Griffiths
2016	B	`conf`	Lexical Complexity of Child-Directed and Overheard Speech: Implications for Learning. CogSci Ruthe Foushee, Tom Griffiths, Mahesh Srinivasan
2016	B	`conf`	The Emergence of Conventions. CogSci Robert X. D. Hawkins, Noah D. Goodman, Olga Feher, Kenny Smith, Robert L. Goldstone, Tom Griffiths