Markov Decision Processes And The Belief Desire Intention Model

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Markov Decision Processes and the Belief-Desire-Intention Model

Markov Decision Processes and the Belief-Desire-Intention Model
Author :
Publisher : Springer Science & Business Media
Total Pages : 68
Release :
ISBN-10 : 9781461414728
ISBN-13 : 1461414725
Rating : 4/5 (725 Downloads)

Book Synopsis Markov Decision Processes and the Belief-Desire-Intention Model by : Gerardo I. Simari

Download or read book Markov Decision Processes and the Belief-Desire-Intention Model written by Gerardo I. Simari and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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