Theory
1,949 items in 14 lists
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Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge cs.utexas.edu
MIT Press, 1994. [All Versions]. This book presents, within a conceptually unified theoretical framework, a body of methods that have been developed over the past fifteen years for building and simulating qualitative models of physical systems - bathtubs, tea kettles…
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The Symbolic Grounding Problem cs.ox.ac.uk
Physica D: Nonlinear Phenomena, 1990. [All Versions].
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Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge cs.nju.edu.cn
AAAI'17, 2017. [All Versions].
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Visual Analogy: Deep Learning Versus Compositional Models cs.jhu.edu
CogSci'21, 2021. [All Versions]. A human-deep-learning comparison on similarity judgement.
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Learning to act by integrating mental simulations and physical experiments cpilab.org
CogSci'18, 2018. [All Versions]. [Code].
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Machine-generated theories of human decision-making cpb-us-w2.wpmucdn.com
Science, 2021. [All Versions].
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Social Pragmatics: Preschoolers Rely on Commonsense Psychology to Resolve Referential Underspecification compdevlab.yale.edu
Child Development, 2019. [All Versions]. A piece of evidence for children's capability on social pragmatics.
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Learning Part-Based Abstractions for Visual Object Concepts cogtoolslab.github.io
CogSci'21, 2021. [All Versions].
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Structure mapping in analogy and similarity cogsci.ucsd.edu
American Psychologist, 1997. [All Versions]. A perspective unifying analogy and similarity judgement.
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Disentangling contributions of visual information and interaction history in the formation of graphical conventions cogsci.mindmodeling.org
CogSci'19, 2019. [All Versions].
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Searching large hypothesis spaces by asking questions cogsci.mindmodeling.org
CogSci'16, 2016. [All Versions]. A behavioral study for the 20 questions game.
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Constraints on Hypothesis Selection in Causal Learning cogsci.mindmodeling.org
CogSci'15, 2015. [All Versions].
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Abstract strategy learning underlies flexible transfer in physical problem solving cognitivesciencesociety.org
CogSci'20, 2020. [All Versions].
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The structure and function of explanations cognition.princeton.edu
Trends in Cognitive Sciences, 2006. [All Versions]. Generating and evaluating explanations is spontaneous, ubiquitous and fundamental to our sense of understanding. Recent evidence suggests that in the course of an individual's reasoning, engaging in explanation can have…
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Explanation and Abductive Inference cognition.princeton.edu
The Oxford Handbook of Thinking and Reasoning, 2012. [All Versions]. This chapter reviews evidence from cognitive psychology and cognitive development concerning the structure and function of explanations, with a focus on the role of explanations in learning and inference. The…
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Theory-Based Causal Induction cocosci.princeton.edu
Psychological Review, 2009. [All Versions]. Thomas Griffiths' review on causal Bayesian theory induction.
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Constructing a hypothesis space from the Web for large-scale Bayesian word learning cocosci.princeton.edu
CogSci'12, 2012. [All Versions].
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Bridging Levels of Analysis for Probabilistic Models of Cognition cocosci.princeton.edu
Current Directions in Psychological Science, 2012. [All Versions]. A Marr's paradigm account on probabilistic models.
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Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources cocosci.princeton.edu
Behavioral and Brain Sciences, 2020. [All Versions]. A resource-rational account on interpreting human intelligence.
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Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control cocosci.princeton.edu
Annual Review of Control, Robotics, and Autonomous Systems, 2022. [All Versions]. The review focuses on how cognitive science can provide forward models of human decision-making and inverse models of how humans think about others’ decision-making. The authors highlight relevant…
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Using large-scale experiments and machine learning to discover theories of human decision-making cocosci.princeton.edu
Science, 2021. [All Versions]. A piece of evidence for the merits brought by large-scale behavioral studies in social science.
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Exploring human cognition using large image databases cocosci.princeton.edu
Topics in Cognitive Sciences, 2016. [All Versions].
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Eye-tracking causality cocolab.stanford.edu
Psychological Science, 2017. [All Versions].
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Pragmatically Informative Image Captioning with Character-Level Inference cocolab.stanford.edu
NAACL'18, 2018. [All Versions].
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Pragmatic Reasoning through Semantic Inference cocolab.stanford.edu
Semantics & Pragmatics, 2016. [All Versions].
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Hierarchical reasoning by neural circuits in the frontal cortex cnbc.cmu.edu
Science, 2019. [All Versions]. Neuroscience evidence supporting rule switch.
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Hybrid computing using a neural network with dynamic external memory clgiles.ist.psu.edu
Nature, 2016. [All Versions].
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On The Emergence Of Compositionality citeseerx.ist.psu.edu
Proceedings of the Evolution of Language Conference'06, 2006. [All Versions]. The original paper on the emergence of compositionality.
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A 4-Space Model of Scientific Discovery citeseerx.ist.psu.edu
CogSci'95, 1995. [All Versions]. Extending the dual space search.
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Open Mind Common Sense: Knowledge Acquisition from the General Public citeseerx.ist.psu.edu
OTM Confederated International Conferences'02, 2002. [All Versions]..
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Do New Caledonian crows solve physical problems through causal reasoning? citeseerx.ist.psu.edu
Proceedings of the Royal Society B: Biological Sciences, 2009. [All Versions]. A piece of evidence for the capability of causal reasoning in intelligent animals.
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A global geometric framework for nonlinear dimensionality reduction citeseerx.ist.psu.edu
Science, 2000. [All Versions]. The original paper on spectrum clustering.
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Dynamics and constraints in insight problem solving citeseerx.ist.psu.edu
Journal of Experimental Psychology, 2002. [All Versions]. [APA].
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Galex: Exploring the evolution and intersection of disciplines cic.tju.edu.cn
IEEE Transactions on Visualization and Computer Graphics, 2019. [All Versions].
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Human-like property induction is a challenge for large language models charleskemp.com
CogSci'22, 2022.
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Planning with theory of mind cell.com
Trends in Cognitive Sciences, 2022. [All Versions]. [Preprint]. A perspective on understanding Theory of Mind through planning that consists of abstract structured causal representations and supports efficient search and selection from innumerable possible actions. Planning…
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Structuring Knowledge with Cognitive Maps and Cognitive Graphs cell.com
Trends in Cognitive Sciences, 2021. [All Versions]. [Preprint]. Humans and animals use mental representations of the spatial structure of the world to navigate. The classical view is that these representations take the form of Euclidean cognitive maps, but alternative theories…
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Understanding Human Intelligence through Human Limitations cell.com
Trends in Cognitive Sciences, 2020. [All Versions]. [Preprint]. Recent progress in artificial intelligence provides the opportunity to ask the question of what is unique about human intelligence, but with a new comparison class. The author argues that we can understand human…
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The Child as Hacker cell.com
Trends in Cognitive Sciences, 2020. [All Versions]. The scope of human learning and development poses a radical challenge for cognitive science. The authors propose that developmental theories can address this challenge by adopting perspectives from computer science. Many of…
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The naïve utility calculus: Computational principles underlying commonsense psychology cell.com
Trends in Cognitive Sciences, 2016. [All Versions]. [Preprint]. This review article proposes that human social cognition is structured around a basic understanding of ourselves and others as intuitive utility maximizers: from a young age, humans implicitly assume that agents…
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Task switching cell.com
Trends in Cognitive Sciences, 2003. [All Versions]. [Preprint]. The original paper on ``switch cost'', where subjects' responses are substantially slower and, usually, more error-prone immediately after a task switch.
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Why concepts are (probably) vectors cell.com
Trends in Cognitive Sciences, 2024. [All Versions]. For decades, cognitive scientists have debated what kind of representation might characterize human concepts. Whatever the format of the representation, it must allow for the computation of varied properties, including…
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From task structures to world models: what do LLMs know? cell.com
Trends in Cognitive Sciences, 2024. [All Versions]. [Preprint]. In what sense does a large language model (LLM) have knowledge? The authors answer by granting LLMs ‘instrumental knowledge’: knowledge gained by using next-word generation as an instrument. The authors then ask…
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Balancing act: when to flex and when to stay fixed cell.com
Trends in Chemistry, 2023. [All Versions]. This perspective article provides essential insights into the decision-making process for choosing automation platforms, highlighting the suitability of fixed automation for standardized tasks and the strategic use of flexible…
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Human-in-the-loop for Bayesian autonomous materials phase mapping cell.com
Matter. [All Versions]. Autonomous experimentation achieves user objectives more efficiently than Edisonian studies by combining machine learning and laboratory automation to iteratively select and perform experiments. Integrating knowledge from theory, simulations, literature…
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Empowering biomedical discovery with AI agents cell.com
Cell, 2024. [All Versions]. The authors envision “AI scientists” as systems capable of skeptical learning and reasoning that empower biomedical research through collaborative agents that integrate AI models and biomedical tools with experimental platforms. Rather than taking…
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Virtual and augmented reality for biomedical applications cell.com
Cell Reports Medicine, 2021. [All Versions]. 3D visualization technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) have gained popularity in the recent decade. Digital extended reality (XR) technologies have been adopted in various domains…
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Theory-based Bayesian models of inductive learning and reasoning cell.com
Trends in Cognitive Sciences, 2006. [All Versions]. [Preprint]. Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional…
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Probabilistic models of cognition: Conceptual foundations cell.com
Trends in Cognitive Sciences, 2006. [All Versions]. Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, ‘sophisticated’ probabilistic methods apply to structured relational…
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Behavior-grounded representation of tool affordances cc.gatech.edu
ICRA'05, 2005. [All Versions].
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