<p>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 (B.D.I.) model and Markov Decision Processes (M.D.P.s). 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 M.D.P. model displays consistently better behavior than the B.D.I./ model for small worlds, this is not the case when the world becomes large and the M.D.P. 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 M.D.P.), and to extract a policy from a set of intentions.</p>

Markov Decision Processes and the Belief-Desire-Intention Model: Bridging the Gap for Autonomous Agents (SpringerBriefs in Computer Science)

Computers & Technology

Simari, Gerardo I.

Parsons, Simon D.

Computer Science

Springer

See the best price to sell, buy, or rent books by Parsons, Simon D.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Parsons, Simon D.

See the best price to sell, buy, or rent books by Parsons, Simon D.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Markov Decision Processes and the Belief-Desire-Intention Model: Bridging the Gap for Autonomous Agents (SpringerBriefs in Computer Science)