Richard L. Lewis

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A Modeling Study of the Effects of Surprisal and Entropy in Perceptual Decision Making of an Adaptive Agent

Pyeong Whan Cho, Richard L. Lewis, 2019 .

of the Annual Meeting of the Cognitive Science Society Title Bounded Optimal State Estimation and Control in Visual Search : Explaining Distractor Ratio Effects Permalink

Richard L. Lewis, Andrew Howes, Christopher W. Myers, 2013 .

Cognitive Theory: SOAR

Richard L. Lewis, 2001 .

Integrating Language and Cognitive Architecture

Richard L. Lewis, David Reitter, Chung-chieh Shan, 2013, AAAI Fall Symposia.

Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based modeling

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2005, CHI.

Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents

Richard L. Lewis, Satinder P. Singh, Jonathan Sorg, 2011, AAAI.

A constraint satisfaction approach to predicting skilled interactive performance

Richard L. Lewis, Andrew Howes, Alonso Vera, 2004, CHI 2004.

Natural Language Comprehension in Soar Spring 1991

Allen Newell, Richard L. Lewis, Jill Fain Lehman, 1991 .

Accelerating the evolution of cognitive architectures organizer

Richard L. Lewis, Paul S. Rosenbloom, Sashank Varma, 2012 .

Task-specification language, or theory of human memory?

Richard L. Lewis, 1994, Behavioral and Brain Sciences.

Predicting Short-Term Remembering as Boundedly Optimal Strategy Choice

Richard L. Lewis, Andrew Howes, Yuan-Chi Tseng, 2016, Cogn. Sci..

Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP

Richard L. Lewis, Andrew Howes, Christopher W. Myers, 2017, CogSci.

Bounding rational analysis: Constraints on the approach to optimality

Richard L. Lewis, Andrew Howes, W D Gray, 2007 .

Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective

Richard L. Lewis, Andrew G. Barto, Satinder P. Singh, 2010, IEEE Transactions on Autonomous Mental Development.

Cognitive Constraint Modeling: A Formal Approach to Supporting Reasoning About Behavior

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2004 .

Rational use of Episodic and Working Memory: A Normative Account of Prospective Memory

Richard L. Lewis, Jonathan D. Cohen, Satinder Singh, 2019, bioRxiv.

Digital Media: An Introduction

Richard L. Lewis, James Luciana, 2004 .

Generating automated predictions of behavior strategically adapted to specific performance objectives

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2006, CHI.

The role of optimization in theory testing and prediction

Richard L. Lewis, Andrew Howes, 2018 .

Information-Requirements Grammar: A Theory of the Structure of Competence for Interaction

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2005 .

Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2014, NIPS.

Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory

Richard L. Lewis, Satinder P. Singh, Michael Shvartsman, 2014, CMCL@ACL.

Internal Rewards Mitigate Agent Boundedness

Richard L. Lewis, Satinder P. Singh, Jonathan Sorg, 2010, ICML.

Architecture matters: What Soar has to say about modularity

Richard L. Lewis, 1993 .

Architectures and Mechanisms for Language Processing: Specifying Architectures for Language Processing: Process, Control, and Memory in Parsing and Interpretation

Richard L. Lewis, 1999 .

Improving UCT planning via approximate homomorphisms

Nan Jiang, Richard L. Lewis, Satinder P. Singh, 2014, AAMAS.

An Activation-Based Model of Sentence Processing as Skilled Memory Retrieval

Richard L. Lewis, Shravan Vasishth, S. Vasishth, 2005, Cogn. Sci..

Scheduling mental operations in a multiple-response sequence: Modeling the effects of a strategy to minimise variance in the timing of saccades

Richard L. Lewis, Shu-Chieh Wu, Roger W. Remington, 2006 .

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2016, IJCAI.

Optimal Rewards for Cooperative Agents

Richard L. Lewis, Shiyin Qin, Satinder P. Singh, 2014, IEEE Transactions on Autonomous Mental Development.

The Dependence of Effective Planning Horizon on Model Accuracy

Nan Jiang, Alex Kulesza, Richard L. Lewis, 2015, AAMAS.

Bounding Rational Analysis: Constraints on Asymptotic Performance

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2007, Integrated Models of Cognitive Systems.

Reward Mapping for Transfer in Long-Lived Agents

Richard L. Lewis, Xiaoxiao Guo, Satinder P. Singh, 2013, NIPS.

A computational unification of cognitive behavior and emotion

Richard L. Lewis, John E. Laird, Robert P. Marinier, 2009, Cognitive Systems Research.

Strong mitigation: nesting search for good policies within search for good reward

Richard L. Lewis, Satinder P. Singh, Jonathan Sorg, 2012, AAMAS.

Combining multiple knowledge sources in an integrated intelligent system

Richard L. Lewis, Jill Fain Lehman, David M. Steier, 1993, IEEE Expert.

A constraint satisfaction approach to predicting skilled interactive cognition

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2004, CHI.

Learning to Communicate and Solve Visual Blocks-World Tasks

Edmund H. Durfee, Richard L. Lewis, Qi Zhang, 2019, AAAI.

Symbolic models of human sentence processing

Richard L. Lewis, Shravan Vasishth, S. Vasishth, 2006 .

Retrieval interference in syntactic processing

Richard L. Lewis, Shravan Vasishth, Umesh Patil, 2018 .

Brake system for motor vehicles with a entfernungsabhaengigen control

Richard L. Lewis, George B. Hickner, 1973 .

Interaction as an Emergent Property of a Partially Observable Markov Decision Process

Richard L. Lewis, Andrew Howes, Aditya Acharya, 2018 .

A Constraint-Based Approach to Understanding the Composition of Skill

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2004, ICCM.

High-level Behavior Representation Languages Revisited

Frank E. Ritter, Richard L. Lewis, Randolph M. Jones, 2006 .

Where Do Rewards Come From

Richard L. Lewis, Andrew G. Barto, Satinder Singh, 2009 .

The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs

Richard L. Lewis, Satinder P. Singh, Michael Shvartsman, 2013, Top. Cogn. Sci..

Dynamic encoding of structural uncertainty in gradient symbols

Pyeong Whan Cho, Richard L. Lewis, Matthew Goldrick, 2018, CMCL.

Short-term forgetting in sentence comprehension: Crosslinguistic evidence from verb-final structures

Richard L. Lewis, Shravan Vasishth, Sabine Kern, 2010 .

Action-Conditional Video Prediction using Deep Networks in Atari Games

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2015, NIPS.

Linking Context to Evaluation in the Design of Safety Critical Interfaces

Lance Sherry, Richard L. Lewis, Andrew Howes, 2013, HCI.

Reward Design via Online Gradient Ascent

Richard L. Lewis, Satinder P. Singh, Jonathan Sorg, 2010, NIPS.

Variance-Based Rewards for Approximate Bayesian Reinforcement Learning

Richard L. Lewis, Satinder P. Singh, Jonathan Sorg, 2010, UAI.

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments pdf

Honglak Lee, Richard L. Lewis, Kimin Lee, 2020, ArXiv.

Toward a Soar theory of taking instructions for immediate reasoning tasks

Allen Newell, Richard L. Lewis, Thad A. Polk, 1993 .

Human language processing: symbolic models

Richard L. Lewis, Shravan Vasishth, S. Vasishth, 2006 .

Evaluating the Performance of Optimizing Constraint Satisfaction Techniques for Cognitive Constraint Modeling

Richard L. Lewis, Alina Chu, 2007 .

Processing Polarity: How the Ungrammatical Intrudes on the Grammatical

Richard L. Lewis, Shravan Vasishth, Heiner Drenhaus, 2008, Cogn. Sci..

Applying Engineering Models of Human Behavior to Space Flight Performance

Richard L. Lewis, Alonso H. Vera, 2005 .

Optimal rewards in multiagent teams

Richard L. Lewis, Shiyin Qin, Satinder P. Singh, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Human perceptuo-motor decision-making is not optimal

Richard L. Lewis, Tyler J. Adkins, Taraz G. Lee, 2018, bioRxiv.

Universal computation by networks of model cortical columns

Richard L. Lewis, Patrick Simen, Thad A. Polk, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments

Honglak Lee, Richard L. Lewis, Kimin Lee, 2021, IJCAI.

Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention pdf

Richard L. Lewis, Soo Hyun Ryu, S. Ryu, 2021, CMCL.

Reinforcement Learning of Implicit and Explicit Control Flow in Instructions

Richard L. Lewis, Janarthanan Rajendran, Satinder Singh, 2021, ICML.

A new approach to exploring language emergence as boundedly optimal control in the face of environmental and cognitive constraints

Richard L. Lewis, Satinder Singh, Jeshua Bratman, 2010 .

The mind and brain of short-term memory.

Richard L. Lewis, J. Jonides, D. E. Nee, 2008, Annual review of psychology.

Computational principles of working memory in sentence comprehension

Richard L. Lewis, S. Vasishth, J. A. Dyke, 2006, Trends in Cognitive Sciences.

Toward a unified theory of immediate reasoning in Soar

Richard L. Lewis, A. Newell, T. Polk, 1993 .

Recent Developments in the NL-Soar Garden Path Theory

Richard L. Lewis, 1992 .

Interference in short-term memory: The magical number two (or three) in sentence processing

Richard L. Lewis, 1996, Journal of psycholinguistic research.

Soar as a unified theory of cognition: spring 1990

Richard L. Lewis, A. Newell, P. Rosenbloom, 1993 .

Intrinsically Motivated Machines

Richard L. Lewis, A. Barto, Satinder Singh, 2011 .

Psychological and Neural Mechanisms of Short‐Term Memory

Richard L. Lewis, Marc G. Berman, Cindy Lustig, 2009 .

In search of decay in verbal short-term memory.

Richard L. Lewis, J. Jonides, M. Berman, 2009, Journal of experimental psychology. Learning, memory, and cognition.

Where Do Rewards Come From ? 1

Richard L. Lewis, A. Barto, Satinder Singh, 2010 .

Argument-Head Distance and Processing Complexity: Explaining both Locality and Antilocality Effects

Richard L. Lewis, S. Vasishth, 2006 .

In Search of the Factors Behind Naive Sentence Judgments: A State Trace Analysis of Grammaticality and Acceptability Ratings

Richard L. Lewis, Rachel G. Stephens, J. Dunn, 2019, Frontiers in Psychology.

Distinguishing effects of structure and decay on attachment and repair: A cue-based parsing account of recovery from misanalyzed ambiguities

Richard L. Lewis, J. A. Dyke, 2003 .

A computational unification of cognitive control, emotion, and learning

Richard L. Lewis, J. Laird, Iii Robert P. Marinier, 2008 .

Early retrieval interference in syntax-guided antecedent search

Richard L. Lewis, S. Vasishth, Umesh Patil, 2009 .

Modeling the Scheduling of Eye Movements and Manual Responses in Performing a Sequence of Discrete Tasks

Richard L. Lewis, R. Remington, Shu-Chieh Wu, 2006 .

Contents Prefatory The Evolution of a Cognitive Psychologist : A Journey from Simple Behaviors to Complex Mental Acts

Richard L. Lewis, J. Jonides, D. E. Nee, 2008 .

Why Contextual Preference Reversals Maximize Expected Value

Richard L. Lewis, Andrew Howes, Wael El-Deredy, 2016, Psychological review.

Featural Analysis and Short-term Memory Retrieval in On-Line Parsing : Evidence for Syntactic , but Not Phonological , Similarity-Based Interference *

Richard L. Lewis, Julie E. Boland, J. Boland, 2011 .

Resolving semantic and proactive interference in memory over the short-term

Richard L. Lewis, Marc G. Berman, John Jonides, 2011, Memory & cognition.

Symbolic models of human sentence processing Shravan

Richard L. Lewis, 2005 .

1 Cognitive Theory , SOAR

Richard L. Lewis, 1999 .

Computational Psycholinguistics

Richard L. Lewis, 2000 .

Psycholinguistics, Computational Models of Lexical Processing Spoken Word Recognition

Richard L. Lewis, 2022 .

More than 8,192 ways to skin a cat: Modeling behavior in multidimensional strategy spaces

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2008 .

Utility learning in cognitively bounded tasks 1 Bounded Optimality in a Cognitive Utility Learning Paradigm

Richard L. Lewis, Andrew Howes, Yuan-Chi Tseng, 2010 .

Dissociating performance from learning: An empirical evaluation of a computational model

Richard L. Lewis, Alonso H. Vera, 1996 .

Grammatical predictions in Spanish-English bilinguals and Spanish-language learners.

Richard L. Lewis, Julie E. Boland, J. Boland, 2020, Journal of experimental psychology. Learning, memory, and cognition.

Rational use of episodic and working memory: A normative account of prospective memory

Richard L. Lewis, Jonathan D. Cohen, Satinder Singh, 2019, Neuropsychologia.

How well do ordinary Americans forecast the growth of COVID-19?

Richard L. Lewis, Tyler J. Adkins, J. Jonides, 2020, Memory & Cognition.

Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating

Richard L. Lewis, Phillip M. Alday, Andrew W. Corcoran, 2022, Frontiers in Psychology.

In-Context Policy Iteration

Richard L. Lewis, Ethan A. Brooks, Satinder Singh, 2022, ArXiv.

Richard L. Lewis, M. Nakayama, 2000 .

Pairwise Weights for Temporal Credit Assignment

Richard L. Lewis, Satinder Singh, Zeyu Zheng, 2021, ArXiv.

The Quantificational Domain of dou: An Experimental Study

Richard L. Lewis, S. Epstein, Acrisio Pires, 2017, Journal of Psycholinguistic Research.

Heuristics contribute to sensorimotor decision-making under risk

Richard L. Lewis, Tyler J. Adkins, Taraz G. Lee, 2021, Psychonomic Bulletin & Review.

An Architecturally-based Theory of Human Sentence Comprehension

Richard L. Lewis, Richard L. Lewis, 2001 .

Models of Working Memory: The Soar Cognitive Architecture and Human Working Memory

Richard L. Lewis, Richard M. Young, R. M. Young, 1999 .

Heuristics contribute to sensorimotor decision-making under risk

Richard L. Lewis, Tyler J. Adkins, Taraz G. Lee, 2021, Psychonomic Bulletin & Review.

Large prospective losses lead to sub-optimal sensorimotor decisions in humans

Richard L. Lewis, Tyler J. Adkins, Richard L. Lewis, 2018 .

Distinguishing Generation and Selection of Modifier Attachments : Implications for Lexicalized Parsing

Richard L. Lewis, Julie E. Boland, Richard Lewis, 2002 .

Retrieval Interference in Syntactic Processing: The Case of Reflexive Binding in English

Richard L. Lewis, Shravan Vasishth, Umesh Patil, 2016, Front. Psychol..

Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization

Satinder Singh, Richard L. Lewis, Andrew Howes, 2014, Top. Cogn. Sci..

Syntactic and Positional Similarity Effects in the Processing of Japanese Embeddings

Richard L. Lewis, M. Nakayama, MINEHARU NAKAYAMA, 2002 .

Divergent effects of different positive emotions on moral judgment

Richard L. Lewis, D. Meyer, Nina Strohminger, 2011, Cognition.

Rational adaptation under task and processing constraints: implications for testing theories of cognition and action.

Richard L. Lewis, Andrew Howes, Alonso Vera, 2009, Psychological review.

In search of on-line locality effects in sentence comprehension.

Richard L. Lewis, Shravan Vasishth, Brian Bartek, 2011, Journal of experimental psychology. Learning, memory, and cognition.

Integrating knowledge sources in language comprehension

Richard L. Lewis, Jill Fain Lehman, Allen Newell, 1993 .

Reanalysis and Limited Repair Parsing: Leaping off the Garden Path

Richard L. Lewis, Richard L. Lewis, 1998 .

Discovery of Useful Questions as Auxiliary Tasks

Richard L. Lewis, Junhyuk Oh, Satinder Singh, 2019, NeurIPS.

Dual-route processing of complex words: New fMRI evidence from derivational suffixation

Richard L. Lewis, Thad A Polk, Richard L Lewis, 2005, Cognitive, affective & behavioral neuroscience.

Modeling Sentence Processing in ACT-R

Richard L. Lewis, Shravan Vasishth, Richard L. Lewis, 2004 .

Learning State Representations from Random Deep Action-conditional Predictions pdf

Richard L. Lewis, Risto Vuorio, Vivek Veeriah, 2021, NeurIPS.

The Quantificational Domain of dou: An Experimental Study

Richard L. Lewis, Samuel David Epstein, Acrisio Pires, 2018, Journal of psycholinguistic research.

Architectural building blocks as the locus of adaptive behavior

Richard L. Lewis, Andrew Howes, Alonso H. Vera, 2005 .

Situated Decision-Making and Recognition-Based Learning: Applying Symbolic Theories to Interactive Tasks

Richard L. Lewis, F. Javier Lerch, Alonso H. Vera, 2001 .

Human Visuomotor Decision Making Under Risk is Not Optimally Adapted to Movement Variability

Richard L. Lewis, Tyler J. Adkins, Richard L. Lewis, 2019 .

A computational approach to control in complex cognition.

Richard L. Lewis, Patrick Simen, Thad A Polk, 2002, Brain research. Cognitive brain research.

A Cue-Based Retrieval Theory of Working Memory in Language Processing: Core Computational Principles and Implications for Individual Differences

Richard L. Lewis, 2011 .

The influences of intentionality and effectiveness of adults' behavior on infants' imitation of object-related actions

Richard L. Lewis, M. Nakayama, 2014 .

Where Do Rewards Come From

Richard L. Lewis, Satinder Singh, A. Barto, 2009 .

In-Context Analogical Reasoning with Pre-Trained Language Models

Richard L. Lewis, J. Chai, Shane Storks, 2023, ACL.

Composing Task Knowledge with Modular Successor Feature Approximators

Richard L. Lewis, Satinder Singh, Angelos Filos, 2023, International Conference on Learning Representations.

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments

Richard L. Lewis, Satinder Singh, Honglak Lee, 2020, IJCAI.

Composing Task Knowledge with Modular Successor Feature Approximators

Richard L. Lewis, Satinder Singh, Angelos Filos, 2023, ICLR.

How Should an Agent Practice?

Honglak Lee, Richard L. Lewis, Satinder Singh, 2019, AAAI.

Predicting Short-Term Remembering as Boundedly Optimal Strategy Choice

Richard L. Lewis, Geoffrey B. Duggan, Andrew Howes, 2016, Cogn. Sci..

Adaptive Pairwise Weights for Temporal Credit Assignment

Richard L. Lewis, Satinder Singh, Zeyu Zheng, 2021, AAAI.

Large Language Models can Implement Policy Iteration

Richard L. Lewis, Ethan A. Brooks, Satinder Singh, 2022, 2210.03821.

Distinguishing Generation and Selection of Modifier Attachments : Implications for Lexicalized Parsing

Richard L. Lewis, Julie E. Boland, 2002 .

Utility Maximization and Bounds on Human Information Processing

Richard L. Lewis, Satinder Singh, Andrew Howes, 2014, Top. Cogn. Sci..

Models of Working Memory: The Soar Cognitive Architecture and Human Working Memory

Richard L. Lewis, R. M. Young, 1999 .