Psychology
Psychology and the mind: behavior, cognition, emotions, mental health, and how people think.
-
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…
-
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…
-
Behavior-grounded representation of tool affordances cc.gatech.edu
ICRA'05, 2005. [All Versions].
-
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…
-
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…
-
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…
-
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…
-
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.
-
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.
-
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents arxiv.org
ICML'23 Workshop on Theory-of-Mind, 2023. [All Versions]. [Project].
-
Experimental Games and Social Decision Making annualreviews.org
Annual Review of Psychology, 2021. [All Versions]. Experimental games model situations in which the future outcomes of individuals and groups depend on their own choices and on those of other (groups of) individuals. Games are a powerful tool to identify the neural and…
-
Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power annualreviews.org
Annual Review of Psychology, 2017. [All Versions]. A comprehensive review of the quantitative analysis techniques for behavioral studies.
-
Object Perception as Bayesian Inference annualreviews.org
Annual Review of Psychology, 2004. [All Versions]. [Preprint]. We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical images are highly complex because they consist of many…
-
Is human cognition adaptive? act-r.psy.cmu.edu
Behavioral and Brain Sciences, 1991. [All Versions]. The original paper introducing the adaptation perspective of human intelligence, the theoretical basis of the ACT cognitive architecture.
-
The Adaptive Nature of Human Categorization Behavior act-r.psy.cmu.edu
Psychological Review, 1991. [All Versions]. The original paper that relates cognitive resource limitation with Bayesian rational analysis, in the case of categorization behavior.
-
Theory of Minds: Understanding Behavior in Groups through Inverse Planning aaai.org
AAAI'19, 2019. [All Versions]. Towards the goal of building machine-learning algorithms with human-like social intelligence, this paper develops a generative model of multiagent action understanding based on a novel representation for these latent relationships called…
-
A Cognitive Theory of Metaphor 1lib.net
MIT Press, 1985. [All Versions]. A cognitive account on Metaphor.
-
An Empirical Analysis of Algorithmic Pricing on Amazon Marketplace mislove.org
(WWW) (Code) Develops a methodology for detecting algorithmic pricing, and use it empirically to analyze their prevalence and behavior on Amazon Marketplace.
-
Scaling up search engine audits: Practical insights for algorithm auditing journals.sagepub.com
(Journal of Information Science) (Code) Audits multiple search engines using simulated browsing behavior with virtual agents.
-
Hardware and software platform inference arxiv.org
(arXiv) A method for identifying the underlying GPU architecture and software stack of a black-box machine learning model solely based on its input-output behavior.
-
xGEMs: Generating Examplars to Explain Black-Box Models arxiv.org
(arXiv) Searches bias in the black box model by training an unsupervised implicit generative model. Thensummarizes the black-box model behavior quantitatively by perturbing data samples along the data manifold.
-
Boids en.wikipedia.org
Emergent flocking behavior.
-
Anthropic Prompt Engineering docs.anthropic.com
Techniques for defining success criteria, testing prompts, and improving model behaviour.
-
Dynamical Networks in Psychology: More Than A Pretty Picture? researchgate.net
-
Tutorial Paper on New Methods for Estimating Psychological Networks psych-networks.com
-
-
Networks in Social Psychology, Beginning with Kurt Lewin link.springer.com
-
Sky skydb.io
database used for flexible, high performance analysis of behavioral data.
-
LatAm Synth apify.com
Synthetic financial savings behavior generator for Latin America: users, savings goals, and transactions calibrated on 506K real records (2015–2024). Reproducible by seed, 100% synthetic.
-
Sybill sybill.ai
Sybill generates summaries of sales calls, including next steps, pain points and areas of interest, by combining transcript and emotion-based insights.
-
Devin devin.ai
An autonomous AI software engineer by Cognition Labs.
-
TrustInSoft Analyzer trust-in-soft.com
copyright: — Exhaustive detection of coding errors and their associated security vulnerabilities. This encompasses a sound undefined behavior detection (buffer overflows, out-of-bounds array accesses, null-pointer dereferences, use-after-free, divide-by-zeros, uninitialized…
-
Inkog inkog.io
AI agent security scanner. Detects behavioral vulnerabilities (prompt injection, infinite loops, token bombing, SQL injection via LLM) across 11 framework adapters including LangChain, CrewAI, and pydantic-ai. Audits MCP servers. Maps findings to EU AI Act, OWASP LLM Top 10…
-
Blog trec.nist.gov
Explore information seeking behavior in the blogosphere.
-
AST Metrics ast-metrics.dev
Multi-language maintainability analyzer. Computes cyclomatic and cognitive complexity, Halstead volume, afferent/efferent coupling and maintainability index, detects communities in the dependency graph, and generates an explorable HTML report plus JSON, Markdown, SARIF and…
-
ansible-lint ansible.readthedocs.io
Checks playbooks for practices and behaviour that could potentially be improved.
-
Astrée absint.com
copyright: — Astrée automatically proves the absence of runtime errors and invalid concurrent behavior in C/C++ applications. It is sound for floating-point computations, very fast, and exceptionally precise. The analyzer also checks for MISRA/CERT/CWE/Adaptive Autosar coding…
-
Emotion Recognition API Demo - Microsoft projectoxford.ai
-
CAVIAR video sequences of mall and public space behavior homepages.inf.ed.ac.uk
-
Cognitive Graph for Multi-Hop Reading Comprehension at Scale arxiv.org
, Ming Ding, et al., ACL 2019, Jun 2019.
-
Cognitive Class AI by IBM cognitiveclass.ai
-
Serverless computing requires a shift in mindset blogs.wsj.com
Why IT leaders must communicate business value when talking about serverless solutions.
-
Sysdig Secure sysdig.com
:yen: Sysdig Secure addresses run-time security through behavioral monitoring and defense, and provides deep forensics based on open source Sysdig for incident response.
-
Responsive Carousel filamentgroup.github.io
List of images enhanced into responsive carousel with various behaviour options.
-
Designing for Cognitive Differences alistapart.com
-
Manoela Ilic twitter.com
...aka Mary Lou @codrops ༶ CSS & HTML are my crayons ༶ Interested in Cognitive Science, AI, HCI, UI Design & Astrophysics ༶ Digital nomad.
-
Learning Statistics with R learningstatisticswithr.com
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Author: Danielle Navarro.
-
Answering Questions with Data crumplab.github.io
This is a free textbook teaching introductory statistics for undergraduates in Psychology. The textbook was written with math-phobia in mind and attempts to reduce the phobia associated with arithmetic computations. Author: Matthew J. C. Crump.
-
Learn Functional Programming with Elixir pragprog.com
Don’t board the Elixir train with an imperative mindset! To get the most out of functional languages, you need to think functionally (2017).
-
How to Use Godog for Behavior-driven Development in Go semaphoreci.com
Get started with Godog - a Behavior-driven development framework for building and testing Go applications.
- next page of items loading…