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The human brain can recognize objects hidden in even severely degraded images after observing them for a while, which is known as a type of Eureka effect, possibly associated with human creativity. A previous psychological study suggests…

Neurons and Cognition · Quantitative Biology 2022-07-05 Kazufumi Hosoda , Shigeto Seno , Tsutomu Murata

Models of message flows in an artificial group of users communicating via the Internet are introduced and investigated using numerical simulations. We assumed that messages possess an emotional character with a positive valence and that the…

Physics and Society · Physics 2010-08-25 Anna Chmiel , Janusz A. Holyst

Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences. We observe that the images used in satirical news articles often contain absurd or ridiculous…

Computation and Language · Computer Science 2020-10-15 Lily Li , Or Levi , Pedram Hosseini , David A. Broniatowski

The speed and transformative power of human cultural evolution is evident from the change it has wrought on our planet. This chapter proposes a human computation program aimed at (1) distinguishing algorithmic from non-algorithmic…

Multiagent Systems · Computer Science 2013-10-24 Liane Gabora

Digital life, a form of life generated by computer programs or artificial intelligence systems, it possesses self-awareness, thinking abilities, emotions, and subjective consciousness. Achieving it involves complex neural networks,…

Human-Computer Interaction · Computer Science 2023-10-24 Qikang Zhang

Theory of Mind (ToM) is the ability to understand human thinking and decision-making, an ability that plays a crucial role in social interaction between people, including linguistic communication. This paper investigates to what extent…

Computation and Language · Computer Science 2023-09-14 Bart Holterman , Kees van Deemter

People are increasingly turning to AI assistance for simple tasks, e.g., arithmetic, spell-check, and answering simple questions. But does AI assistance actually save users time and effort? We investigate people's propensity to use AI for…

Computers and Society · Computer Science 2026-05-22 Sunny Yu , Myra Cheng , Ahmad Jabbar , Ilia Sucholutsky , Katherine M. Collins , Dan Jurafsky , Robert D. Hawkins

Algorithmic interpretability is necessary to build trust, ensure fairness, and track accountability. However, there is no existing formal measurement method for algorithmic interpretability. In this work, we build upon programming language…

Artificial Intelligence · Computer Science 2022-05-23 John P. Lalor , Hong Guo

Illusions are fascinating and immediately catch people's attention and interest, but they are also valuable in terms of giving us insights into human cognition and perception. A good theory of human perception should be able to explain the…

Computer Vision and Pattern Recognition · Computer Science 2019-02-11 Nasim Nematzadeh , David M. W. Powers , Trent Lewis

Various research initiatives try to utilize the operational principles of organisms and brains to develop alternative, biologically inspired computing paradigms and artificial cognitive systems. This paper reviews key features of the…

Adaptation and Self-Organizing Systems · Physics 2012-01-25 Andreas Schierwagen

With the rapid development in artificial intelligence, social computing has evolved beyond social informatics toward the birth of social intelligence systems. This paper, therefore, takes initiatives to propose a social behaviour…

Ideas about how to increase the unconscious participation in interaction between 'a human' and 'a computer' are developed in this paper. Evidence of impact of the unconscious functioning is presented. The unconscious is characterised as…

Human-Computer Interaction · Computer Science 2009-11-02 Richard V. Diamond

Theory of Mind (ToM) is the ability to understand and reflect on the mental states of others. Although this capability is crucial for human interaction, testing on Large Language Models (LLMs) reveals that they possess only a rudimentary…

Computation and Language · Computer Science 2025-01-17 Sneheel Sarangi , Maha Elgarf , Hanan Salam

A formal theory of meaning (the process of knowledge accumulation) as multiplicative chaos is proposed. The epistemological process is understood as the process of subjective extraction of some knowledge from the incoming information. The…

General Physics · Physics 2021-08-23 Gary Gindler

Computational humor is a frontier for creating advanced and engaging natural language processing (NLP) applications, such as sophisticated dialogue systems. While previous studies have benchmarked the humor capabilities of Large Language…

Computation and Language · Computer Science 2025-11-17 Ritsu Sakabe , Hwichan Kim , Tosho Hirasawa , Mamoru Komachi

This theoretical work examines 'hallucinations' in both human cognition and large language models, comparing how each system can produce perceptions or outputs that deviate from reality. Drawing on neuroscience and machine learning…

Neurons and Cognition · Quantitative Biology 2025-03-11 Sebastian Barros

It is a commonplace perception that speed of time subjectively experienced by humans significantly differs from chronological (objective) time and shows a great deal of variability. An often cited example is the phenomenon of the time…

Physics and Society · Physics 2023-10-11 Vladimir Shiltsev

Time perception - how humans and animals perceive the passage of time - forms the basis for important cognitive skills such as decision-making, planning, and communication. In this work, we propose a framework for examining the mechanisms…

Systems and Control · Electrical Eng. & Systems 2023-11-08 Inês Lourenço , Robert Mattila , Rodrigo Ventura , Bo Wahlberg

Human consciousness has been a long-lasting mystery for centuries, while machine intelligence and consciousness is an arduous pursuit. Researchers have developed diverse theories for interpreting the consciousness phenomenon in human brains…

Neurons and Cognition · Quantitative Biology 2023-09-20 Zihan Ding , Xiaoxi Wei , Yidan Xu

Social learning is a powerful mechanism through which agents learn about the world from others. However, humans don't always choose to observe others, since social learning can carry time and cognitive resource costs. How do people balance…

Multiagent Systems · Computer Science 2025-07-15 Lance Ying , Ryan Truong , Joshua B. Tenenbaum , Samuel J. Gershman