Bounded Rationality and Heuristics in Humans and in Artificial Cognitive Systems

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Abstract
In this paper I will present an analysis of the impact that the notion of “bounded rationality”, introduced by Herbert Simon in his book “Administrative Behavior”, produced in the field of Artificial Intelligence (AI). In particular, by focusing on the field of Automated Decision Making (ADM), I will show how the introduction of the cognitive dimension into the study of choice of a rational (natural) agent, indirectly determined - in the AI field - the development of a line of research aiming at the realisation of artificial systems whose decisions are based on the adoption of powerful shortcut strategies (known as heuristics) based on “satisficing” - i.e. non optimal - solutions to problem solving. I will show how the “heuristic approach” to problem solving allowed, in AI, to face problems of combinatorial complexity in real-life situations and still represents an important strategy for the design and implementation of intelligent systems.
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First archival date: 2019-04-18
Latest version: 7 (2019-10-14)
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References found in this work BETA
Simple Heuristics That Make Us Smart.Gigerenzer, Gerd; M. Todd, Peter & Research Group, A. B. C.
An Integrated Theory of the Mind.Anderson, John R.; Bothell, Daniel; Byrne, Michael D.; Douglass, Scott; Lebiere, Christian & Qin, Yulin

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2019-04-18

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