A Model of Unified Perception and Cognition

This article discusses an approach to add perception functionality to a general-purpose intelligent system, NARS. Differently from other AI approaches toward perception, our design is based on the following major opinions: (1) Perception primarily depends on the perceiver, and subjective experience...

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Main Authors: Pei Wang, Christian Hahm, Patrick Hammer
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.806403/full
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author Pei Wang
Christian Hahm
Patrick Hammer
author_facet Pei Wang
Christian Hahm
Patrick Hammer
author_sort Pei Wang
collection DOAJ
description This article discusses an approach to add perception functionality to a general-purpose intelligent system, NARS. Differently from other AI approaches toward perception, our design is based on the following major opinions: (1) Perception primarily depends on the perceiver, and subjective experience is only partially and gradually transformed into objective (intersubjective) descriptions of the environment; (2) Perception is basically a process initiated by the perceiver itself to achieve its goals, and passive receiving of signals only plays a supplementary role; (3) Perception is fundamentally unified with cognition, and the difference between them is mostly quantitative, not qualitative. The directly relevant aspects of NARS are described to show the implications of these opinions in system design, and they are compared with the other approaches. Based on the research results of cognitive science, it is argued that the Narsian approach better fits the need of perception in Artificial General Intelligence (AGI).
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spelling doaj.art-539bdee7b84e48778f93d65700ca69392022-12-22T03:09:05ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122022-04-01510.3389/frai.2022.806403806403A Model of Unified Perception and CognitionPei Wang0Christian Hahm1Patrick Hammer2Department of Computer and Information Sciences, Temple University, Philadelphia, PA, United StatesDepartment of Computer and Information Sciences, Temple University, Philadelphia, PA, United StatesDepartment of Psychology, Stockholm University, Stockholm, SwedenThis article discusses an approach to add perception functionality to a general-purpose intelligent system, NARS. Differently from other AI approaches toward perception, our design is based on the following major opinions: (1) Perception primarily depends on the perceiver, and subjective experience is only partially and gradually transformed into objective (intersubjective) descriptions of the environment; (2) Perception is basically a process initiated by the perceiver itself to achieve its goals, and passive receiving of signals only plays a supplementary role; (3) Perception is fundamentally unified with cognition, and the difference between them is mostly quantitative, not qualitative. The directly relevant aspects of NARS are described to show the implications of these opinions in system design, and they are compared with the other approaches. Based on the research results of cognitive science, it is argued that the Narsian approach better fits the need of perception in Artificial General Intelligence (AGI).https://www.frontiersin.org/articles/10.3389/frai.2022.806403/fullAGINARSunified modelreasoninglearning
spellingShingle Pei Wang
Christian Hahm
Patrick Hammer
A Model of Unified Perception and Cognition
Frontiers in Artificial Intelligence
AGI
NARS
unified model
reasoning
learning
title A Model of Unified Perception and Cognition
title_full A Model of Unified Perception and Cognition
title_fullStr A Model of Unified Perception and Cognition
title_full_unstemmed A Model of Unified Perception and Cognition
title_short A Model of Unified Perception and Cognition
title_sort model of unified perception and cognition
topic AGI
NARS
unified model
reasoning
learning
url https://www.frontiersin.org/articles/10.3389/frai.2022.806403/full
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