Description: Markov Decision Processes and the Belief-Desire-Intention Model Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Bridging the Gap for Autonomous Agents Author(s): Gerardo I. Simari, Simon D. Parsons Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461414711, 978-1461414711 Synopsis 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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Book Title: Markov Decision Processes and the Belief-Desire-Intention Model
Number of Pages: 63 Pages
Publication Name: Markov Decision Processes and the Belief-Desire-Intention Model: Bridging the Gap for Autonomous Agents
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2011
Type: Textbook
Item Weight: 129 g
Author: Simon D. Parsons, Gerardo I. Simari
Item Width: 155 mm
Series: Springerbriefs in Computer Science
Format: Paperback
