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  1. Bounded Rationality and Heuristics in Humans and in Artificial Cognitive Systems.Antonio Lieto - 2019 - Isonomía. Revista de Teoría y Filosofía Del Derecho 1 (4):1-21.
    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 (...)
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  • Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation.Antonio Lieto, Antonio Chella & Marcello Frixione - 2017 - Biologically Inspired Cognitive Architectures 19:1-9.
    During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [35]) adopt a classical symbolic approach, some (e.g. LEABRA[ 48]) are based on a purely connectionist model, while others (e.g. CLARION [59]) adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and reasoning are (...)
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  • Higher-Level Knowledge, Rational and Social Levels Constraints of the Common Model of the Mind.Antonio Lieto, William G. Kennedy, Christian Lebiere, Oscar Romero, Niels Taatgen & Robert West - forthcoming - Procedia Computer Science.
    In his famous 1982 paper, Allen Newell [22, 23] introduced the notion of knowledge level to indicate a level of analysis, and prediction, of the rational behavior of a cognitive arti cial agent. This analysis concerns the investigation about the availability of the agent knowledge, in order to pursue its own goals, and is based on the so-called Rationality Principle (an assumption according to which "an agent will use the knowledge it has of its environment to achieve its goals" [22, (...)
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  • Il Ruolo delle Scienze Cognitive nell’Intelligenza Artificiale del Futuro.Antonio Lieto - 2019 - In Proceedings of Ita-IA. Rome, Metropolitan City of Rome, Italy: pp. 240-242.
    Questo contributo si propone di fornire uno spunto di riflessione, e una breve panoramica storica, sul ruolo che le scienze cognitive hanno giocato, e possono ancora giocare, nello sviluppo dei sistemi intelligenti di nuova generazione. Illustra, inoltre, le attività recenti che l’AISC (Associazione Italiana di Scienze Cognitive, di cui gli autori sono attualmente Vice-Presidente e Presidente) sta portando avanti per lo sviluppo di linee di ricerca nell’ambito dei sistemi artificiali di inspirazione cognitiva.
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  • The Computational Modeling of Inferential and Referential Competence.Fabrizio Calzavarini & Antonio Lieto - 2018 - In AISC 2018 Proceedings.
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  • DELTA: A Unifying Categorization Algorithm Integrating Prototypes, Exemplars and Theory-Theory Representations and Mechanisms.Antonio Lieto - 2018 - In Proceedings of AISC 2018, Extended Abstracts. 27100 Pavia, Province of Pavia, Italy: pp. 5-7.
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