Hybrid Reasoning and the Future of Iconic Representations
Catherine Recanati (LIPN)
TL;DR
This paper discusses the potential of hybrid representation systems combining diagrammatic and symbolic reasoning to advance Artificial General Intelligence, supported by analysis of human reasoning in a game context.
Contribution
It provides an overview of diagrammatic reasoning, analyzes human reasoning in a game, and advocates for hybrid representation systems as promising for AI development.
Findings
Hybrid systems are attractive for AI.
Diagrammatic reasoning offers unique advantages.
Human reasoning in games illustrates potential applications.
Abstract
We give a brief overview of the main characteristics of diagrammatic reasoning, analyze a case of human reasoning in a mastermind game, and explain why hybrid representation systems (HRS) are particularly attractive and promising for Artificial General Intelligence and Computer Science in general.
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Taxonomy
TopicsData Visualization and Analytics