AGI & CoCoSci
837 items from yuzheshi/awesome-agi-cocosci ★398
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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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Toward Causal Representation Learning cardiacmr.hms.harvard.edu
Proceedings of the IEEE, 2021. [All Versions]. Yoshua Bengio's review on the perspective of treating causal inference as a representation learning problem.
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Synthesizing theories of human language with Bayesian program induction cap.csail.mit.edu
Nature Communications, 2022. [All Versions].
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Generalization, similarity, and Bayesian inference cambridge.org
Behavioral and Brain Sciences, 2001. [All Versions]. [Preprint]. Shepard has argued that a universal law should govern generalization across different domains of perception and cognition, as well as across organisms from different species or even different planets. Starting…
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Building Machines That Learn and Think Like People cambridge.org
Behavioral and Brain Sciences, 2017. [All Versions]. [Preprint]. Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as…
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Why Imaginary Worlds? The psychological foundations and cultural evolution of fictions with imaginary worlds cambridge.org
Behavioral and Brain Sciences, 2021. [All Versions]. Imaginary worlds are extremely successful. The most popular fictions produced in the last few decades contain such a fictional world. They can be found in all fictional media, from novels (e.g., Lord of The Rings and Harry…
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Rationalization is rational cambridge.org
Behavioral and Brain Sciences, 2020. [All Versions]. [Preprint]. Rationalization occurs when a person has performed an action and then concocts the beliefs and desires that would have made it rational. Then, people often adjust their own beliefs and desires to match the…
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Insight solutions are correct more often than analytic solutions bpb-us-e1.wpmucdn.com
Thinking & Reasoning, 2016. [All Versions].
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A high-level programming language for generative protein design biorxiv.org
2022. [All Versions]. Combining a basic set of building blocks into more complex forms is a universal design principle. Most protein designs have proceeded from a manual bottom-up approach using parts created by nature, but top-down design of proteins is fundamentally hard due…
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Different computational relations in language are captured by distinct brain systems bilab.bnu.edu.cn
Cerebral Cortex, 2022. [All Versions].
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Organizational Principles of Abstract Words in the Human Brain bilab.bnu.edu.cn
Cerebral Cortex, 2018. [All Versions].
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Iconicity: From sign to system in human communication and language benjamins.com
Pragmatics & Cognition, 2014. [All Versions]. This paper explores the role of iconicity in spoken language and other human communication systems.
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Levels of Analysis for Machine Learning baicsworkshop.github.io
ICLR'20 Bridging AI and Cognitive Science Workshop, 2020. [All Versions]. A Marr's paradigm account on machine learning.
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Pixelor: A Competitive Sketching AI Agent. So you think you can beat me? ayankumarbhunia.github.io
ACM SIGGRAPH'20, 2020. [All Versions]. [Project]. Rationality in feature sketching.
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Reducing the dimensionality of data with neural networks asset-pdf.scinapse.io
Science, 2006. [All Versions]. The original paper on Variational Autoencoder.
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From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL arxiv.org
AAMAS'24, 2024. [All Versions]. Drawing inspiration from human team cooperative learning, this paper proposes a novel paradigm that facilitates a gradual shift from explicit communication to tacit cooperation.
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Identifying concept libraries from language about object structure arxiv.org
CogSci'22, 2022. [All Versions].
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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems arxiv.org
2022. [All Versions]. A comprehensive review on AutoRL.
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Discovering State and Action Abstractions for Generalized Task and Motion Planning arxiv.org
AAAI'22, 2022. [All Versions].
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Meta-Interpretive Learning as Metarule Specialisation arxiv.org
Machine Learning, 2021. [All Versions].
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Visual scoping operations for physical assembly arxiv.org
CogSci'21, 2021. [All Versions].
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Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution arxiv.org
CVPR'21, 2021. [All Versions].
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Fast and flexible: Human program induction in abstract reasoning tasks arxiv.org
CogSci'21, 2021. [All Versions].
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Neural Production Systems arxiv.org
ICML'21, 2021. [All Versions]. Yoshua Bengio's perspective on slot attention model as a general production system.
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Intentonomy: a Dataset and Study towards Human Intent Understanding arxiv.org
CVPR'21, 2021. [All Versions]. A large-scale database on human intentionally-posted images on social media.
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An overview of multi-agent reinforcement learning from game theoretical perspective arxiv.org
2020. [All Versions]. Yaodong Yang's review on multi-agent reinforcement learning from the perspective of game theory.
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