Evolution Prospection

DI Group Author

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Addresses the problem of modelling evolving prospective agent systems. Inasmuch a prospective agent looks ahead a number of steps into the future, it is confronted with the problem of having several different possible courses of evolution, and needs to be able to prefer amongst them to decide the best to follow as seen from its present state. It needs a priori preferences for the generation of likely courses of evolution. Then, based on the historical information as well as on a mixture of quantitative and qualitative a posteriori evaluation of its possible evolutions, we equip our agent with evolution-level preferences mechanism, involving 3 distinct types of commitment. In addition, to enable such a prospective agent to evolve, we provide a way for modelling its evolving knowledge base, including environment and course of evolution triggering of all active goals (desires), context-sensitive preferences and integrity constraints. We give examples.
Original languageUnknown
Title of host publicationStudies in Computational Intelligence
EditorsK Nakamatsu
Place of PublicationHimeji, Japan
Publication statusPublished - 1 Jan 2009
Event1st KES International Symposium on Intelligent Decision Technologies -
Duration: 1 Jan 2009 → …


Conference1st KES International Symposium on Intelligent Decision Technologies
Period1/01/09 → …

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