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Intelligence across humans and machines: a joint perspective.

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Summary

Defining intelligence is complex, with varying perspectives in computational intelligence and psychology. This study proposes a unified definition of intelligence as an agent's adaptive decision-making ability.

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Area of Science:

  • * Explores the interdisciplinary nature of intelligence, bridging computational intelligence and psychology.
  • * Highlights the role of these fields in advancing cognitive science.

Background:

  • * Identifies significant divergences and contradictions in the definition of intelligence across disciplines.
  • * Notes the lack of a standardized definition, empirical evidence, and measurement strategies as a barrier.
  • * Emphasizes the hindrance to cross-disciplinary collaboration, especially in semantic-based applications.

Purpose of the Study:

  • * To reconcile differing definitions of intelligence from computational intelligence and psychology.
  • * To provide an overview of existing methods for measuring intelligence.
  • * To address the lack of consensus and inconsistent usage of the term 'intelligence'.

Main Methods:

  • * Comparative analysis of intelligence definitions in computational intelligence and psychology.
  • * Literature review of existing intelligence measurement techniques.
  • * Synthesis of perspectives to propose a unified conceptual framework.

Main Results:

  • * Confirms a significant lack of consensus regarding the definition of intelligence.
  • * Demonstrates the interchangeable and often contradictory use of the term 'intelligence' across fields.
  • * Identifies key challenges in establishing a universal understanding and measurement of intelligence.

Conclusions:

  • * Proposes a unified definition: Intelligence is an agent's capacity to process information for optimal environmental adaptation via decision-making.
  • * Emphasizes the importance of an agent's ontology in information processing and action decoding.
  • * Underscores the need for clearer definitions to foster interdisciplinary research and application.