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The mechanisms underlying major aspects of the human brain remain a mystery. It is unknown how verbal episodic memory is formed and integrated with sensory episodic memory. There is no consensus on the function and nature of dreaming. Here…

Other Quantitative Biology · Quantitative Biology 2013-06-26 Xiaoqiu Huang

A number of studies have concluded that dreaming is mostly caused by randomly arriving internal signals because "dream contents are random impulses", and argued that dream sleep is unlikely to play an important part in our intellectual…

Neurons and Cognition · Quantitative Biology 2026-02-05 Qi Zhang

Current theoretical and computational models of dopamine-based reinforcement learning are largely rooted in the classical behaviorist tradition, and envision the organism as a purely reactive recipient of rewards and punishments, with…

Neurons and Cognition · Quantitative Biology 2014-05-01 Randall C. O'Reilly , Thomas E. Hazy , Jessica Mollick , Prescott Mackie , Seth Herd

Memory is often defined as the mental capacity of retaining information about facts, events, procedures and more generally about any type of previous experience. Memories are remembered as long as they influence our thoughts, feelings, and…

Neurons and Cognition · Quantitative Biology 2017-06-16 Stefano Fusi

The primary tasks of a cognitive system is to survive and to maximize a life-long utility function, like the number of offsprings. A direct computational maximization of life-long utility is however not possible in complex environments,…

Neurons and Cognition · Quantitative Biology 2010-05-25 Claudius Gros

Most current AI models have little ability to store and later retrieve a record or representation of what they do. In human cognition, episodic memories play an important role in both recall of the past as well as planning for the future.…

Artificial Intelligence · Computer Science 2025-01-23 Chad DeChant

We present a unified computational theory of an agent's perception and memory. In our model, perception, episodic memory, and semantic memory are realized by different operational modes of the oscillating interactions between a symbolic…

Artificial Intelligence · Computer Science 2023-01-24 Volker Tresp , Sahand Sharifzadeh , Hang Li , Dario Konopatzki , Yunpu Ma

This paper introduces a biomathematical model designed to describe the internal dynamics of dream formation and spontaneous cognitive processes. The model incorporates neurocognitive factors such as dissatisfaction, acceptance, forgetting,…

Neurons and Cognition · Quantitative Biology 2025-05-12 Shirmohammad Tavangari , Sajjad Janfaza , Zahra Shakarami , Aref Yelghi

Storytelling is fundamental to language, including culture, conversation and communication in their broadest senses. It thus emerges as an essential component of intelligent systems, including systems where natural language is not a primary…

Artificial Intelligence · Computer Science 2019-07-23 David M W Powers

Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers resulting in work that is widely published. The majority of this work consists of computational models of emotion…

Artificial Intelligence · Computer Science 2009-03-05 Joost Broekens

Recent advances in neurosciences and psychology have provided evidence that affective phenomena pervade intelligence at many levels, being inseparable from the cognitionaction loop. Perception, attention, memory, learning, decisionmaking,…

Artificial Intelligence · Computer Science 2008-09-30 Luis Paulo Reis , Daria Barteneva , Nuno Lau

People are remarkably capable of generating their own goals, beginning with child's play and continuing into adulthood. Despite considerable empirical and computational work on goals and goal-oriented behavior, models are still far from…

Artificial Intelligence · Computer Science 2025-05-20 Guy Davidson , Graham Todd , Julian Togelius , Todd M. Gureckis , Brenden M. Lake

Learned world models summarize an agent's experience to facilitate learning complex behaviors. While learning world models from high-dimensional sensory inputs is becoming feasible through deep learning, there are many potential ways for…

Machine Learning · Computer Science 2020-03-18 Danijar Hafner , Timothy Lillicrap , Jimmy Ba , Mohammad Norouzi

Making sense of the world and acting in it relies on building simplified mental representations that abstract away aspects of reality. This principle of cognitive mapping is universal to agents with limited resources. Living organisms,…

Artificial Intelligence · Computer Science 2025-04-30 Marta Kryven , Cole Wyeth , Aidan Curtis , Kevin Ellis

One of the most striking features of human cognition is the capacity to plan. Two aspects of human planning stand out: its efficiency and flexibility. Efficiency is especially impressive because plans must often be made in complex…

Artificial Intelligence · Computer Science 2022-11-29 Mark K. Ho , David Abel , Carlos G. Correa , Michael L. Littman , Jonathan D. Cohen , Thomas L. Griffiths

This article presents an overview of approaches to modeling the human psyche in the context of constructing an artificial one. Based on this overview, a concept of cognitive architecture is proposed, in which the psyche is viewed as the…

Artificial Intelligence · Computer Science 2026-03-24 Anton Kolonin , Vladimir Krykov

Storytelling has always been vital for human nature. From ancient times, humans have used stories for several objectives including entertainment, advertisement, and education. Various analyses have been conducted by researchers and creators…

Computation and Language · Computer Science 2022-05-24 Yusuke Mori , Hiroaki Yamane , Yusuke Mukuta , Tatsuya Harada

By incorporating feedback loops, that engender amplification and damping so that output is not proportional to input, the biological neural networks become highly nonlinear and thus very likely chaotic in nature. Research in control theory…

Neurons and Cognition · Quantitative Biology 2022-12-22 Fan Zhang

Cognitive control is a suite of processes that helps individuals pursue goals despite resistance or uncertainty about what to do. Although cognitive control has been extensively studied as a dynamic feedback loop of perception, valuation,…

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