Back to Results
First PageMeta Content
Reasoning / Epistemology / Statistical inference / Inductive reasoning / Problem solving / Inductive logic programming / Logic programming / Machine learning / Deductive reasoning / Science / Logic / Knowledge


Collaborative Inductive Logic Programming for Path Planning
Add to Reading List

Document Date: 2009-01-04 08:03:51

Open Document

File Size: 229,62 KB

Share Result on Facebook

City

London / /

Company

Springer-Verlag New York Inc. / IEEE Press / Pergamon Press / Multi-Agent Systems / AAAI Press / /

Country

United Kingdom / /

/

Facility

Software Engineering The University of Melbourne / University of Aberdeen / store H / /

IndustryTerm

multiagent systems / partial solution / agent-based computing / nd solutions / chosen path planning algorithm / individual applications / partial solutions / basic algorithm / deductive algorithms / /

Organization

University of Melbourne / Victoria / Artificial Intelligence / University of Aberdeen / Adrian R. Pearce NICTA Victoria Research Laboratory Department of Computer Science / /

Person

Antonis C. Kakas / Abduction / Moshe Y. Vardi / Yoram Moses / Daniel Kudenko / EN H YPO (Query) / Joseph Y. Halpern / Adrian R. Pearce / Peter Stone / Pierre Dillenbourg / Gerhard Weiß / EN K NOW (Query) / Collaborative Inductive Logic / Ronald Fagin / Manuela Veloso / Induction / PATH F OUND (Hyp) / Marc Denecker / Ashwin Srinivasan / Jian Huang / PATH F OUND (Hyps) / Nicolas Lachiche / Luc De Raedt / Dimitar Kazakov / Robert A. Kowalski / Stephen Muggleton / /

Position

editor / /

PublishedMedium

Machine Learning / /

Technology

Intelligent Agent Technology / ILP algorithm / chosen path planning algorithm / Machine Learning System / Machine learning / how deductive algorithms / basic algorithm / /

SocialTag