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Conscious states (states that there is something it is like to be in) seem both rich or full of detail, and ineffable or hard to fully describe or recall. The problem of ineffability, in particular, is a longstanding issue in philosophy…

Neurons and Cognition · Quantitative Biology 2023-06-22 Xu Ji , Eric Elmoznino , George Deane , Axel Constant , Guillaume Dumas , Guillaume Lajoie , Jonathan Simon , Yoshua Bengio

The article "Physics of Consciousness" treats mind as an abstract Hilbert space with a set of orthogonal base vectors to describe information like particles, which are considered to be the elementary excitation of a quantum field. A…

General Physics · Physics 2010-12-20 Benoy Chakraverty

Using the previously developed concepts of semantic spacetime, I explore the interpretation of knowledge representations, and their structure, as a semantic system, within the framework of promise theory. By assigning interpretations to…

Artificial Intelligence · Computer Science 2017-08-02 Mark Burgess

We propose a model of unawareness that remains close to the paradigm of Aumann's model for knowledge [R. J. Aumann, International Journal of Game Theory 28 (1999) 263-300]: just as Aumann uses a correspondence on a state space to define an…

Theoretical Economics · Economics 2024-12-25 Wesley H. Holliday

Higher-order representations (HORs) are neural or computational states that are "about" first-order representations (FORs), encoding information not about the external world per se but about the agent's own representational processes --…

Neurons and Cognition · Quantitative Biology 2025-06-25 Megan A. K. Peters , Hojjat Azimi Asrari

There are various models proposed on how knowledge is generated in the human brain including the semantic networks model. Although this model has been widely studied and even computational models are presented, but, due to various limits…

Artificial Intelligence · Computer Science 2025-01-28 Jamshid Ghasimi , Nazanin Movarraei

We position a narrative-centred computational model for high-level knowledge representation and reasoning in the context of a range of assistive technologies concerned with "visuo-spatial perception and cognition" tasks. Our proposed…

Artificial Intelligence · Computer Science 2013-06-25 Mehul Bhatt , Jakob Suchan , Carl Schultz

A model of consciousness is proposed which, having a logical basis, lends itself to simulation using a simple mathematical model called Consciousness as Entropy Reduction (CER). The approach has been inspired by previous models such as GWT,…

Neurons and Cognition · Quantitative Biology 2025-10-09 Yifeng Chen , J. W. Sanders

Large language models perform well on many reasoning tasks, yet they often lack awareness of whether their current knowledge or reasoning state is complete. In non-interactive puzzle settings, the narrative is fixed and the underlying…

Artificial Intelligence · Computer Science 2026-04-23 Fulong Fan , Peilin Liu , Fengzhe Liu , Shuyan Yang , Gang Yan

Scientific studies have shown that non-conscious stimuli and representations influence information processing during conscious experience. In the light of such evidence, questions about potential functional links between non-conscious brain…

Neurons and Cognition · Quantitative Biology 2018-05-24 Birgitta Dresp-Langley

The perceptual experience of architecture is enacted by the sensory and motor system. When we act, we change the perceived environment according to a set of expectations that depend on our body and the built environment. The continuous…

Neurons and Cognition · Quantitative Biology 2020-11-10 Zakaria Djebbara , Thomas Parr , Karl Friston

Consciousness spans macroscopic experience and microscopic neuronal activity, yet linking these scales remains challenging. Prevailing theories, such as Integrated Information Theory, focus on a single scale, overlooking how causal power…

Neurons and Cognition · Quantitative Biology 2025-09-16 Zhipeng Wang , Yingqi Rong , Kaiwei Liu , Mingzhe Yang , Jiang Zhang , Jing He

This comprehensive report distinguishes prior works by the cognitive functions they innovate. Many works claim an almost "human-like" cognitive capability in their world models. To evaluate these claims requires a proper grounding in first…

In order to become aware of inconsistencies, one must first construe of the world in a way that reflects its consistencies. This paper begins with a tentative model for how a set of discrete memories transforms into an interconnected…

Adaptation and Self-Organizing Systems · Physics 2013-10-15 Liane Gabora

In several papers published in Biological Cybernetics in the 1980s and 1990s, Kawato and colleagues proposed computational models explaining how internal models are acquired in the cerebellum. These models were later supported by…

Neurons and Cognition · Quantitative Biology 2021-12-22 Mitsuo Kawato , Aurelio Cortese

One of the current AI issues depicted in popular culture is the fear of conscious super AIs that try to take control over humanity. And as computational power goes upwards and that turns more and more into a reality, understanding…

Neurons and Cognition · Quantitative Biology 2023-05-22 Daniel Lopes

Understanding the neural mechanism underlying subjective representation has become a central endeavor in cognitive-neuroscience. In theories of conscious perception, stimulus gaining conscious access is usually considered as a discrete…

Neurons and Cognition · Quantitative Biology 2018-03-28 Moti Salti , Asaf Harel , Sebastien Marti

We consider a living organism as an observer of the evolution of its environment recording sensory information about the state space X of the environment in real time. Sensory information is sampled and then processed on two levels. On the…

Artificial Intelligence · Computer Science 2010-03-22 Dan Guralnik

Beyond representing the external world, humans also represent their own cognitive processes. In the context of perception, this metacognition helps us identify unreliable percepts, such as when we recognize that we are seeing an illusion.…

Artificial Intelligence · Computer Science 2020-12-01 Marlene Berke , Mario Belledonne , Julian Jara-Ettinger

This position paper argues for metacognition as a general design principle for creating more accurate, secure, and efficient AI. The metacognitive solution involves systems monitoring their own states and judiciously allocating resources…

Artificial Intelligence · Computer Science 2026-05-18 Sergei Chuprov , Richard D. Lange , Leon Reznik , Paulo Shakarian , Raman Zatsarenko , Dmitrii Korobeinikov