000			02850nam a22004935i 4500
001			978-1-4614-1472-8
003			DE-He213
005			20140220083733.0
007			cr nn 008mamaa
008			110915s2011 xxu| s |||| 0|eng d
020			_a9781461414728 _9978-1-4614-1472-8
024	7		_a10.1007/978-1-4614-1472-8 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
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[electronic resource] : _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	_uhttp://dx.doi.org/10.1007/978-1-4614-1472-8
912			_aZDB-2-SCS
999			_c106291 _d106291