000 02809nam a22004695i 4500
001 u372466
003 SIRSI
005 20160812084059.0
007 cr nn 008mamaa
008 110915s2011 xxu| s |||| 0|eng d
020 _a9781461414728
_9978-1-4614-1472-8
040 _cMX-MeUAM
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
082 0 4 _a006.3
_223
100 1 _aSimari, Gerardo I.
_eauthor.
245 1 0 _aMarkov Decision Processes and the Belief-Desire-Intention Model
_h[recurso electrónico] :
_bBridging the Gap for Autonomous Agents /
_cby Gerardo I. Simari, Simon D. Parsons.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aVIII, 63p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aIntroduction -- Preliminary Concepts -- An Empirical Comparison of Models -- A Theoretical Comparison of Models -- Related Work. Conclusions, Limitations, and Future Directions.
520 _aIn 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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aSimulation and Modeling.
700 1 _aParsons, Simon D.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461414711
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4614-1472-8
596 _a19
942 _cLIBRO_ELEC
999 _c200346
_d200346