Gerardo I. Simari & Simon D. Parsons 
Markov Decision Processes and the Belief-Desire-Intention Model [PDF ebook] 
Bridging the Gap for Autonomous Agents

Wsparcie

In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the Belief Desire Intention (BDI) model and Markov Decision Processes (MDPs). We start with an informal description of the relationship, identifying the common features of the two approaches and the differences between them. Then we hone our understanding of these differences through an empirical analysis of the performance of both models on the Tile World testbed. This allows us to show that even though the MDP model displays consistently better behavior than the BDI model for small worlds, this is not the case when the world becomes large and the MDP model cannot be solved exactly. Finally we present a theoretical analysis of the relationship between the two approaches, identifying mappings that allow us to extract a set of intentions from a policy (a solution to an MDP), and to extract a policy from a set of intentions.

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Spis treści

Introduction.- Preliminary Concepts.- An Empirical Comparison of Models.- A Theoretical Comparison of Models.- Related Work. Conclusions, Limitations, and Future Directions.

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Język Angielski ● Format PDF ● Strony 63 ● ISBN 9781461414728 ● Rozmiar pliku 2.1 MB ● Wydawca Springer New York ● Miasto NY ● Kraj US ● Opublikowany 2011 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 2247052 ● Ochrona przed kopiowaniem Społeczny DRM

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