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Event Entry
New for: D2, D3
What and Who
Incorporating Domain-Dependent Knowledge into a Golog-based System – An Empirical Evaluation
Ziquan Zhu
RWTH Aachen
PhD Application Talk
Master student
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Monday, 21 February 2011
09:00
120 Minutes
E1 4
R024
Saarbrücken
Abstract
The Golog family of programming language, based on the situation calculus, has proven to be successful in the area of high level
autonomous agent control. However, the current Golog systems are quite slow, scribing to the Prolog-based implementation and blind search for
look-ahead. Additionally, agents always run in some restricted environments where exists some particular knowledge that can help to
enlighten agents' reasoning process. Since this kind of knowledge only refers to some specific domain, it is called domain-dependent
knowledge(DDK). This topic focuses on incorporating DDK into a Golog-based system for the purpose of make it faster. Three different
approaches are studied and implemented into one Golog-based system, followed by an empirical study to evaluate their pros and cons within
different domains.
autonomous agent control. However, the current Golog systems are quite slow, scribing to the Prolog-based implementation and blind search for
look-ahead. Additionally, agents always run in some restricted environments where exists some particular knowledge that can help to
enlighten agents' reasoning process. Since this kind of knowledge only refers to some specific domain, it is called domain-dependent
knowledge(DDK). This topic focuses on incorporating DDK into a Golog-based system for the purpose of make it faster. Three different
approaches are studied and implemented into one Golog-based system, followed by an empirical study to evaluate their pros and cons within
different domains.
Contact
IMPRS-CS Office
0681 93 25 225
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Stephanie Jörg, 02/17/2011 14:14 -- Created document.