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Related papers: Cognition and Reality

200 papers

The maturation of cognition, from introspection to understanding others, has long been a hallmark of human development. This position paper posits that for AI systems to truly emulate or approach human-like interactions, especially within…

Multiagent Systems · Computer Science 2023-12-19 Jasmine A. Berry

A cognitive architecture aimed at cumulative learning must provide the necessary information and control structures to allow agents to learn incrementally and autonomously from their experience. This involves managing an agent's goals as…

Artificial Intelligence · Computer Science 2021-12-06 Hugo Latapie , Ozkan Kilic , Kristinn R. Thorisson , Pei Wang , Patrick Hammer

Theories of consciousness depend on data, and it needs to be appropriate data, without overwhelming confounding factors. The reports of Minimal Phenomenal Experience (MPE) in [Metzinger 2024] relate to consciousness in a state purer than…

Neurons and Cognition · Quantitative Biology 2025-09-30 Robert Worden

We study opinion dynamics in a population of interacting adaptive agents voting on a set of complex multidimensional issues. We consider agents which can classify issues into for or against. The agents arrive at the opinions about each…

Physics and Society · Physics 2009-03-11 Renato Vicente , Andre C. R. Martins , Nestor Caticha

Humans excel at remembering concrete experiences along spatiotemporal contexts and performing reasoning across those events, i.e., the capacity for episodic memory. In contrast, memory in language agents remains mainly semantic, and current…

Artificial Intelligence · Computer Science 2026-03-03 Yiheng Shu , Saisri Padmaja Jonnalagedda , Xiang Gao , Bernal Jiménez Gutiérrez , Weijian Qi , Kamalika Das , Huan Sun , Yu Su

Two different conceptions of emergence are reconciled as two instances of the phenomenon of detection. In the process of comparing these two conceptions, we find that the notions of complexity and detection allow us to form a unified…

Artificial Intelligence · Computer Science 2011-08-23 Eric Bonabeau , Jean-Louis Dessalles

We propose a model of the speech perception of individual words in the presence of mishearings. This phenomenological approach is based on concepts used in linguistics, and provides a formalism that is universal across languages. We put…

Computation and Language · Computer Science 2020-10-19 Anita Mehta , Jean-Marc Luck

The work demonstrates that brain might reflect the external world causal relationships in the form of a logically consistent and prognostic model of reality, which shows up as consciousness. The paper analyses and solves the problem of…

Artificial Intelligence · Computer Science 2025-12-09 Evgenii Vityaev

It is asserted that consciousness functionally is a vision. Biologically it is a sensation of work of a brain that converts external and internal signals into visual output. However, as we well know, human consciousness includes meaning…

Neurons and Cognition · Quantitative Biology 2022-10-12 Boris Rusakov

A simple framework for reasoning under uncertainty and intervention is introduced. This is achieved in three steps. First, logic is restated in set-theoretic terms to obtain a framework for reasoning under certainty. Second, this framework…

Statistics Theory · Mathematics 2010-08-18 Pedro A. Ortega

The words of a language reflect the structure of the human mind, allowing us to transmit thoughts between individuals. However, language can represent only a subset of our rich and detailed cognitive architecture. Here, we ask what kinds of…

Computation and Language · Computer Science 2018-03-07 Gabriel Grand , Idan Asher Blank , Francisco Pereira , Evelina Fedorenko

Humans can learn individual episodes and generalizable rules and also successfully retain both kinds of acquired knowledge over time. In the cognitive science literature, (1) learning individual episodes and rules and (2) learning and…

Artificial Intelligence · Computer Science 2024-07-09 Joshua T. S. Hewson , Sabina J. Sloman , Marina Dubova

Cognitive psychology investigates perception, attention, memory, language, problem-solving, decision-making, and reasoning. Kahneman's dual-system theory elucidates the human decision-making process, distinguishing between the rapid,…

Computation and Language · Computer Science 2024-09-09 Yongxin Deng , Xihe Qiu , Xiaoyu Tan , Chao Qu , Jing Pan , Yuan Cheng , Yinghui Xu , Wei Chu

This paper argues that self-awareness is a learned behavior that emerges in organisms whose brains have a sufficiently integrated, complex ability for associative learning and memory. Continual sensory input of information related to the…

Neurons and Cognition · Quantitative Biology 2007-06-13 Emmanuel Tannenbaum

When we encounter a new person or place, we may easily encode it into our memories, or we may quickly forget it. Recent work finds that this likelihood of encoding a given entity - memorability - is highly consistent across viewers and…

Neurons and Cognition · Quantitative Biology 2020-04-21 Wilma A. Bainbridge

Significant challenges exist globally regarding literacy teaching and learning. To address these challenges, key features of how the brain works should be taken into account. First, perception is an active process based in detection of…

Neurons and Cognition · Quantitative Biology 2021-05-25 George Ellis , Carole Bloch

A model for reference use in communication is proposed, from a representationist point of view. Both the sender and the receiver of a message handle representations of their common environment, including mental representations of objects.…

Computation and Language · Computer Science 2007-05-23 Andrei Popescu-Belis , Isabelle Robba , Gerard Sabah

Common-sense physical reasoning is an essential ingredient for any intelligent agent operating in the real-world. For example, it can be used to simulate the environment, or to infer the state of parts of the world that are currently…

Machine Learning · Computer Science 2018-03-01 Sjoerd van Steenkiste , Michael Chang , Klaus Greff , Jürgen Schmidhuber

The time-changing nature of our world demands processing of huge amounts of information in fast and reliable way to generate successful behaviors. Therefore, significant brain resources are devoted to process spatiotemporal information.…

Isolated word meanings are inherently uncertain. This uncertainty reduces when they are combined and anchored in context. We propose that grammar compresses meaning uncertainty cross-linguistically, which is reflected in brain and…