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Markov Decision Processes and the Belief-Desire-Intention Model: Bridging the Gap for Autonomous Agents

-15% su kodu: ENG15
70,11 
Įprasta kaina: 82,48 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
70,11 
Įprasta kaina: 82,48 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 82.4800 InStock
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Knygos aprašymas

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 DesireIntention (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 TileWorld 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.

Informacija

Autorius: Simon D. Parsons, Gerardo I. Simari,
Serija: SpringerBriefs in Computer Science
Leidėjas: Springer New York
Išleidimo metai: 2011
Knygos puslapių skaičius: 72
ISBN-10: 1461414717
ISBN-13: 9781461414711
Formatas: 235 x 155 x 5 mm. Knyga minkštu viršeliu
Kalba: Anglų

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