Decision-Theoretic Deliberation under Bounded Rationality (bibtex)
by G. Boella, J. Hulstijn, L. van der Torre
Abstract:
Agent theory proposes to model the behavior of complex software systems in terms of mental attitudes like belief, desires, goals, intentions and obligations, ranging from, e.g., the PRS system [7] to the more recent BOID architecture [3]. Decision-theoretic deliberation captures concepts and reasoning mechanisms from agent theory in standard decision-theoretic terms. This is an ambitious enterprise, as it has the objective to bridge the worlds of decision theory and agent theory. Thus far, several partial results on the decision-theoretic characterization have been obtained. The relation between beliefs (as well as defaults) and probabilistic techniques has been studied for some time, there are characterizations of desires and goals in decision-theoretic terms [6], there are various interpretations of obligations and norms, for example as social laws [8], and there are preliminary results on intention [1]. See our comparison paper [4] for an overview. The most problematic issue in decision-theoretic deliberation is the characterization of intention. Roughly, whereas beliefs have been related to probabilities, desires to utilities, and obligations to social laws, intentions do not seem to have an obvious counterpart in classical game and decision theory. However, most discussions on the popular BDI model have focussed on the role of intention in deliberation [2]. Consequently, we believe that intention is the benchmark example of decision-theoretic deliberation.
Reference:
Decision-Theoretic Deliberation under Bounded Rationality (G. Boella, J. Hulstijn, L. van der Torre), In Procs. of LOFT'04, 2004.
Bibtex Entry:
@InProceedings{Boella2004d,
  Title                    = {Decision-Theoretic Deliberation under Bounded Rationality},
  Author                   = {G. Boella and J. Hulstijn and L. van der Torre},
  Booktitle                = {Procs. of LOFT'04},
  Year                     = {2004},

  Address                  = {Leipzig},

  Abstract                 = { Agent theory proposes to model the behavior of complex software systems in terms of mental attitudes like belief, desires, goals, intentions and obligations, ranging from, e.g., the PRS system [7] to the more recent BOID architecture [3]. Decision-theoretic deliberation captures concepts and reasoning mechanisms from agent theory in standard decision-theoretic terms. This is an ambitious enterprise, as it has the objective to bridge the worlds of decision theory and agent theory. Thus far, several partial results on the decision-theoretic characterization have been obtained. The relation between beliefs (as well as defaults) and probabilistic techniques has been studied for some time, there are characterizations of desires and goals in decision-theoretic terms [6], there are various interpretations of obligations and norms, for example as social laws [8], and there are preliminary results on intention [1]. See our comparison paper [4] for an overview. The most problematic issue in decision-theoretic deliberation is the characterization of intention. Roughly, whereas beliefs have been related to probabilities, desires to utilities, and obligations to social laws, intentions do not seem to have an obvious counterpart in classical game and decision theory. However, most discussions on the popular BDI model have focussed on the role of intention in deliberation [2]. Consequently, we believe that intention is the benchmark example of decision-theoretic deliberation.},
  Bdsk-url-1               = {http://icr.uni.lu/leonvandertorre/papers/loft04.pdf},
  Date-modified            = {2011-12-20 17:13:44 +0100},
  Timestamp                = {2013.07.26},
  Url                      = {http://icr.uni.lu/leonvandertorre/papers/loft04.pdf}
}
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