Speculative Constraint Processing with Iterative Revision for Disjunctive Answers

  • Martine Ceberio
  • Hiroshi Hosobe
  • Ken Satoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3900)


In multi-agents systems, incompleteness, due to either communication failure or response delay, is a major problem to handle. To face incompleteness, frameworks for speculative computation were proposed (see references [5, 6, 7]). The idea developed in such frameworks is to allow the asking agent, while waiting for the slave agents to reply, to reason using default beliefs until replies are sent.

In particular, K. Satoh and K. Yamamoto [7] proposed a framework that allows an agent not only to perform speculative computation, but also to accept iterative answer revision for yes/no questions. In this paper, we present an extension of the framework for more general types of questions using constraint logic programming (CLP).


Belief Revision Default Rule Constraint Logic Programming Alternative Answer Ordinary Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Martine Ceberio
    • 1
  • Hiroshi Hosobe
    • 2
  • Ken Satoh
    • 2
  1. 1.University of Texas at El PasoEl PasoUSA
  2. 2.National Institute of InformaticsTokyoJapan

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