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Více informací o knize Markov Decision Processes and the Belief-Desire-Intention Model

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Markov Decision Processes and the Belief-Desire-Intention Model
• Podnázev: Bridging the Gap for Autonomous Agents
• Autor: Gerardo I. Simari, Simon D. Parsons
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 63
• EAN: 9781461414711
• ISBN: 1461414717
• ID: 01426979
• Nakladatelství: Springer, Berlin
• Hmotnost: 127 g
• Rozměry: 235 × 155 × 3 mm
• Rok vydání: 2011

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