<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Current cognitive architectures are either working at the abstract, symbolic level, or the low, emergent level related to neural modeling. The best way to understand phenomena is to see, or imagine them, hence the need for a geometric model of mental processes. Geometric models should be based on an intermediate level of modeling that describe mental states in terms of features relevant from the first-person perspective but also linked to neural events. Concepts should be represented as geometrical objects that have sufficiently rich structures to show their properties and their relations to other concepts. The best way to create such geometrical representations of concepts is through the approximate description of the physical states of neural networks. The evolution of brain states is then represented as a trajectory linking successful concepts, and topological constraints on the shape of such trajectory define grammar and logic.</p>
</abstract>

Current cognitive architectures are either working at the abstract, symbolic level, or the low, emergent level related to neural modeling. The best way to understand phenomena is to see, or imagine them, hence the need for a geometric model of mental processes. Geometric models should be based on an intermediate level of modeling that describe mental states in terms of features relevant from the first-person perspective but also linked to neural events. Concepts should be represented as geometrical objects that have sufficiently rich structures to show their properties and their relations to other concepts. The best way to create such geometrical representations of concepts is through the approximate description of the physical states of neural networks. The evolution of brain states is then represented as a trajectory linking successful concepts, and topological constraints on the shape of such trajectory define grammar and logic.

Concept Representation and the Geometric Model of Mind

Department of Informatics, Institute of Technical Sciences Faculty of Astronomy, Physics, and Informatics and Neurocognitive Laboratory

Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University

Studies in Logic, Grammar and Rhetoric

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Concept Representation and the Geometric Model of Mind"}

Current cognitive architectures are either working at the abstract, symbolic level, or the low, emergent level related to neural modeling. The best way to...

Concept Representation and the Geometric Model of Mind

Online veröffentlicht: 30. Dez. 2022

Seitenbereich: 151 - 167

DOI: https://doi.org/10.2478/slgr-2022-0009

Schlüsselwörter
Concepts, geometric model, neural modeling, physical states, neural networks

© 2022 Włodzisław Duch, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Concept Representation and the Geometric Model of Mind

Online veröffentlicht: 30. Dez. 2022

Seitenbereich: 151 - 167

DOI: https://doi.org/10.2478/slgr-2022-0009

SchlüsselwörterConcepts, geometric model, neural modeling, physical states, neural networks

© 2022 Włodzisław Duch, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Concepts, geometric model, neural modeling, physical states, neural networks