Transcription of 01 Artificial Intelligence-Introduction.ppt
{{id}} {{{paragraph}}}
1 Artificial IntelligenceIntroduction2 Where are we?#Title1 Introduction2 Propositional Logic3 Predicate Logic4 Reasoning5 Search Methods6 CommonKADS7 Problem-Solving Methods8 Planning9 Software Agents10 Rule Learning11 Inductive Logic Programming12 Formal Concept Analysis13 Neural Networks14 Semantic Web and Services3 Overview Course home page: (schedule, lecture notes, exercises, etc.) Textbooks: G. G rz, Rollinger, J. Schnee-berger (Hrsg.) Handbuch derk nstlichen Intelligenz OldenbourgVerlag, 2003, Fourth edition G. Luger Artificial intelligence Structures andStrategies for Complex Problem Solving Addision-Wesley, 2005, Fifth edition Lecturer(s): Dr. Anna Fensel Dr. Ioan Toma Tutor(s): Zaenal Akbar Lectures every week and Tutorials every two weeks Attendance of the tutorials is obligatory!
1 Introduction 2 Propositional Logic 3 Predicate Logic 4 Reasoning 5 Search Methods 6 CommonKADS 7 Problem-Solving Methods 8 Planning 9 Software Agents ... was easily lost in the combinatorial explosion of intermediate states. 30 2. Knowledge-is-power hypothesis Knowledge-is-power hypothesis, also called the
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}