Intelligence as Computation

Abstract This paper proposes a specific conceptualization of intelligence as computation. This conceptualization is intended to provide a unified view for all disciplines of intelligence research. Already, it unifies several conceptualizations currently under investigation, including physical, neural, embodied, morphological, and mechanical intelligences. To achieve this, the proposed conceptualization explains the differences among existing views by different computational paradigms, such as digital, analog, mechanical, or morphological computation. Viewing intelligence as a composition of computations from different paradigms, the challenges posed by previous conceptualizations are resolved. Intelligence is hypothesized as a multi-paradigmatic computation relying on specific computational principles. These principles distinguish intelligence from other, non-intelligent computations. The proposed conceptualization implies a multi-disciplinary research agenda that is intended to lead to unified science of intelligence.

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Publication Details

Journal
IOP Conference Series Materials Science and Engineering
Published
2024-12-01
DOI
https://doi.org/10.1088/1757-899x/1321/1/012001
Citations
3
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
1.14
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article

Intelligence as Computation

Oliver Brock
3 citations
IOP Conference Series Materials Science and Engineering
Computability, Logic, AI Algorithms
1.14
article

Intelligence as Computation

Oliver Brock
article en
3 citations

Abstract

Abstract This paper proposes a specific conceptualization of intelligence as computation. This conceptualization is intended to provide a unified view for all disciplines of intelligence research. Already, it unifies several conceptualizations currently under investigation, including physical, neural, embodied, morphological, and mechanical intelligences. To achieve this, the proposed conceptualization explains the differences among existing views by different computational paradigms, such as digital, analog, mechanical, or morphological computation. Viewing intelligence as a composition of computations from different paradigms, the challenges posed by previous conceptualizations are resolved. Intelligence is hypothesized as a multi-paradigmatic computation relying on specific computational principles. These principles distinguish intelligence from other, non-intelligent computations. The proposed conceptualization implies a multi-disciplinary research agenda that is intended to lead to unified science of intelligence.

IOP Conference Series Materials Science and EngineeringVol. 1321(1)
Robotics Research (United States) (US), Technische Universität Berlin (DE)
Openalex Percentile: Top 21%
Computability, Logic, AI Algorithms
1.14
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