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Evolution Prospection
April 2009
evolprosp
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.
In proceedings
Luís Moniz Pereira, Han The Anh
K. Nakamatsu
Procs. First KES Intl. Symp. on Intelligent Decision Technologies - KES-IDT'09
Engineering Series
Springer
Himeji, Japan
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Luís Moniz Pereira and Han The Anh, Evolution Prospection, in: K. Nakamatsu (eds), Procs. First KES Intl. Symp. on Intelligent Decision Technologies - KES-IDT'09, Engineering Series, Springer, Himeji, Japan, April 2009.
<a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a> and <a href="/people/members/view.php?code=cdc7090d1f84f56c0671baa36e87bd77" class="author">Han The Anh</a>, <b>Evolution Prospection</b>, in: K. Nakamatsu (eds), <u>Procs. First KES Intl. Symp. on Intelligent Decision Technologies - KES-IDT'09</u>, Engineering Series, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, Himeji, Japan, April 2009.
@inproceedings {evolprosp, author = {Lu\'{\i}s Moniz Pereira and Han The Anh}, editor = {K. Nakamatsu}, title = {Evolution Prospection}, booktitle = {Procs. First KES Intl. Symp. on Intelligent Decision Technologies - KES-IDT'09}, series = {Engineering Series}, publisher = {Springer}, address = {Himeji, Japan}, abstract = {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.}, month = {April}, year = {2009}, }
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