Books & Writing
Books and writing: reading lists, essays, authors, the craft of writing, and literature.
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Gestalt theory psycnet.apa.org
A source book of Gestalt psychology, 1938. [All Versions]. The original book on Gestalt psychology.
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Exploring science: The cognition and development of discovery processes psycnet.apa.org
MIT Press, 2000. [All Versions]. In this book, D. Klahr sets out to describe the cognitive and developmental processes that have enabled scientists to make the discoveries that comprise the body of information we call "scientific knowledge." Over the past decade, Klahr and his…
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Word learning as Bayesian inference psycnet.apa.org
Psychological Review, 2007. [All Versions]. [Preprint]. The authors present a Bayesian framework for understanding how adults and children learn the meanings of words. The theory explains how learners can generalize meaningfully from just one or a few positive examples of a…
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A Theory of Generative ConvNet proceedings.mlr.press
ICML'16, 2016. [All Versions]. The authors show that a generative random field model, which they call generative ConvNet, can be derived from the commonly used discriminative ConvNet, by assuming a ConvNet for multi-category classification and assuming one of the category is a…
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ImageBind: One Embedding Space To Bind Them All openaccess.thecvf.com
CVPR'23, 2023. [All Versions]. [Project]. This work presents ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. The authors show that all combinations of paired data are not necessary to train…
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Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap onlinelibrary.wiley.com
Topics in Cognitive Science, 2019. [All Versions]. This paper proposes an intuitive theory framework to studying affective cognition—how humans reason about emotions—and derive a taxonomy of inferences within affective cognition. Using this taxonomy, the authors review formal…
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Universal chemical programming language for robotic synthesis repeatability nature.com
Nature Synthesis, 2024. [All Versions]. [Preprint]. The amount of chemical synthesis literature is growing quickly; however, it takes a long time to share and evaluate new processes among laboratories. This paper presents an approach that uses a universal chemical programming…
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Balancing autonomy and expertise in autonomous synthesis laboratories nature.com
Nature Computational Science, 2025. [All Versions]. Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, the authors comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for…
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Large language models for scientific discovery in molecular property prediction nature.com
Nature Machine Intelligence, 2025. [All Versions]. Large language models (LLMs) are a form of artificial intelligence system encapsulating vast knowledge in the form of natural language. These systems are adept at numerous complex tasks including creative writing, storytelling…
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Meta-analysis of the functional neuroimaging literature with probabilistic logic programming nature.com
Scientific Reports, 2022. [All Versions]. Inferring reliable brain-behavior associations requires synthesizing evidence from thousands of functional neuroimaging studies through meta-analysis. However, existing meta-analysis tools are limited to investigating simple…
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Design of metalloproteins and novel protein folds using variational autoencoders nature.com
Scientific Reports, 2018. [All Versions]. The design of novel proteins has many applications but remains an attritional process with success in isolated cases. Meanwhile, deep learning technologies have exploded in popularity in recent years and are increasingly applicable to…
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Language is primarily a tool for communication rather than thought nature.com
Nature, 2024. [All Versions]. This perspective brings recent evidence from neuroscience and allied disciplines to argue that in modern humans, language is a tool for communication, contrary to a prominent view that we use language for thinking. The authors begins by introducing…
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An autonomous laboratory for the accelerated synthesis of novel materials nature.com
Nature, 2023. [All Versions]. This paper introduces the A-Lab, an autonomous laboratory for the solid-state synthesis of inorganic powders. This platform uses computations, historical data from the literature, machine learning (ML) and active learning to plan and interpret the…
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Nature Communications, 2025. [All Versions]. [Project]. Functional proteomics provides critical insights into cancer mechanisms, facilitating the discovery of novel biomarkers and therapeutic targets. The authors have developed a comprehensive cancer functional proteomics…
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Five keys to writing a reproducible lab protocol nature.com
Nature, 2021. [All Versions]. This interviewing paper introduces five ways to increase the reproducibility of experimental protocols: (i) documenting protocols as the experiment goes; (ii) providing video illustrations in addition to written protocols; (iii) using electronic…
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Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight m.roboticsproceedings.org
RSS'19, 2019. [All Versions].
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An introduction to Kolmogorov complexity and its applications link.springer.com
Springer, 2008. [All Versions]. The introductory book for Algorithmic Information Theory, especially the Kolmogorov complexity theory.
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Action Languages, Answer Sets, and Planning link.springer.com
The Logic Programming Paradigms, 1999. [All Versions]. [Preprint]. This is a discussion of some of the achievements and challenges related to representing actions and the design of planners from the perspective of logic programming. The authors talk about recent work on action…
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Abductive Reasoning and Learning link.springer.com
Springer, 2000. [All Versions]. This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches.
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From intention to implementation: automating biomedical research via LLMs link.springer.com
Science China Information Sciences, 2025. [All Versions]. Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets. Artificial intelligence (AI), particularly large language models (LLMs), has the…
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Words, thoughts, and theories library.lol
MIT Press, 1997. [All Versions]. Alison Gopnik's book that articulates and defends the "theory theory" of cognitive and semantic development, the idea that infants and young children, like scientists, learn about the world by forming and revising theories-a view of the origins…
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The uses and complexity of argument structures in expert and student persuasive writing journals.sagepub.com
Written Communication, 1998. [All Versions]. A behaviorial study revealing the argument structures exploited by people in argumentative writing.
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Analysis of Langevin Monte Carlo via Convex Optimization jmlr.org
Journal of Machine Learning Research, 2019. [All Versions]. This paper provides new insights on the Unadjusted Langevin Algorithm. The authors show that this method can be formulated as the first order optimization algorithm for an objective functional defined on the…
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From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning jair.org
Journal of Artificial Intelligence Research, 2018. [All Versions]. This work considers the problem of constructing abstract representations for planning in high-dimensional, continuous environments. The authors assume an agent equipped with a collection of high-level actions…
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LogiCode: An LLM-Driven Framework for Logical Anomaly Detection ieeexplore.ieee.org
IEEE Transactions on Automation Science and Engineering, 2024. [All Versions]. This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on structural…
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VMC: A Grammar for Visualizing Statistical Model Checks ieeexplore.ieee.org
IEEE Transactions on Visualization and Computer Graphics, 2024. [All Versions]. Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it difficult for authors to…
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Knowledge-Based Embodied Question Answering ieeexplore.ieee.org
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. [All Versions]. This paper proposes a novel Knowledge-based Embodied Question Answering (K-EQA) task, in which the agent intelligently explores the environment to answer various questions with the knowledge…
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Scientific discovery: Computational explorations of the creative processes hk1lib.org
MIT Press, 1987. [All Versions]. The book is divided into four parts. Part I introduces the subject of discovery, defines the scope of our work, and discusses some of the issues that have surrounded and still surround our topic. Parts II and III contain the main body of our…
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The Origin of Concepts hk1lib.org
Oxford University Press, 2009. [All Versions]. Susan Carey's extended book on the theory theory of concepts in child development.
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Conceptual Change in Childhood hk1lib.org
MIT Press, 1985. [All Versions]. Susan Carey's book on the theory theory of concepts in child development.
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Models of Discovery: And Other Topics in the Methods of Science hk1lib.org
Springer, 1977. [All Versions]. The original book on search as scientific thinking.
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Preschoolers and adults make inferences from novel metaphors escholarship.org
CogSci'22, 2022. [All Versions]. A piece of evidence that understanding metaphors is capable for different cognitive development phases.
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CoLadder: Manipulating Code Generation via Multi-Level Blocks dl.acm.org
UIST'24, 2024. [All Versions]. This paper adopted an iterative design process to gain insights into programmers’ strategies when using LLMs for programming. The authors proposed CoLadder, a novel system that supports programmers by facilitating hierarchical task decomposition…
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ACM SIGGRAPH Asia'23, 2023. [All Versions]. By continually observing their environment and communicating, AI agents trained in the Chinese dictionary and the Nüshu corpus collaborate towards creating a standard writing system to encode Chinese.
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HCI Research as Problem-Solving dl.acm.org
ACM SIGCHI'16, 2016. [All Versions]. This essay contributes a meta-scientific account of human-computer interaction (HCI) research as problem-solving. We build on the philosophy of Larry Laudan, who develops problem and solution as the foundational concepts of science. We argue…
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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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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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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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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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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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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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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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ChipNeMo: Domain-Adapted LLMs for Chip Design arxiv.org
2023. [All Versions]. ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, the authors instead adopt the following domain adaptation techniques…
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Human Comprehensible Active Learning of Genome-Scale Metabolic Networks arxiv.org
AAAI Spring Symposium Series 2023 on Computational Scientific Discovery, 2023. [All Versions]. [Extended Abstract]. [Slides]. This work introduces a novel machine learning framework ILP-iML1515 based on Inductive Logic Programming (ILP) that performs abductive logical reasoning…
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Large Language Models for Software Engineering: A Systematic Literature Review arxiv.org
2023. [All Versions]. A systematic literature review on LLM4SE, with a particular focus on understanding how LLMs can be exploited to optimize processes and outcomes.
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A Grammar of Hypotheses for Visualization, Data, and Analysis arxiv.org
2022. [All Versions]. This work presents a grammar for expressing hypotheses in visual data analysis to formalize the previously abstract notion of "analysis tasks." Through the lens of this grammar, the authors lay the groundwork for how a user's data analysis questions can be…
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Automated Biodesign Engineering by Abductive Meta-Interpretive Learning arxiv.org
AAAI Spring Symposium Series 2021 on Artificial Intelligence for Synthetic Biology, 2021. [All Versions]. This work proposes an automated biodesign engineering framework empowered by Abductive Meta-Interpretive Learning (MetaAbd), a novel machine learning approach that combines…
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X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust arxiv.org
CVPR XAI Workshop'19, 2019. [All Versions]. This work presents a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. The authors pose explanation as an iterative communication process, i.e. dialog…
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