'Default reasoning' presentation slideshows

Action, Change and Evolution: from single agents to multi-agents

Action, Change and Evolution: from single agents to multi-agents. Chitta Baral Professor, School of Computing, Informatics & DSE Key faculty, Center for Evolutionary Medicine & Inform. Arizona State University Tempe, AZ 85287. Action, Change and Evolution: importance to KR & R.

1.06k views • 90 slides

IT3706 Knowledge Representation Course Summary

651 views • 48 slides

Abduction, Uncertainty, and Probabilistic Reasoning

Abduction, Uncertainty, and Probabilistic Reasoning. Yun Peng UMBC. Introduction. Abduction is a reasoning process that tries to form plausible explanations for abnormal observations Abduction is distinct different from deduction and induction Abduction is inherently uncertain

645 views • 47 slides

OWL, DL and Rules

OWL, DL and Rules. Based on slides from Grigoris Antoniou, Frank van Harmele and Vassilis Papataxiarhis. Semantic Web and Logic. The Semantic Web is grounded in logic But what logic? OWL Full = Classical first order logic (FOL) OWL-DL = Description logic

609 views • 44 slides

Knowledge Representation

Knowledge Representation. Chapter 10. Introduction. Real knowledge representation and reasoning systems come in several major varieties. They all based on FOL but departing from it in different ways

443 views • 31 slides

Default and Cooperative Reasoning in Multi-Agent Systems

Default and Cooperative Reasoning in Multi-Agent Systems. Chiaki Sakama Wakayama University, Japan. Programming Multi-Agent Systems based on Logic Dagstuhl Seminar, November 2002. Incomplete Knowledge in Multi-Agent System (MAS). An individual agent has incomplete knowledge in an MAS.

545 views • 31 slides

Logical Reasoning Systems

Logical Reasoning Systems. Chapter 10. Some material adopted from notes by Tim Finin , Andreas Geyer-Schulz and Chuck Dyer. Introduction. Real knowledge representation and reasoning systems come in several major varieties. They all based on FOL but departing from it in different ways

500 views • 31 slides

Knowledge Representation

Knowledge Representation. Chapter 12. Some material adopted from notes by Tim Finin , Marie desJardins Andreas Geyer-Schulz, and Chuck Dyer. Introduction. Real knowledge representation and reasoning systems come in several major varieties.

311 views • 31 slides

Logical Reasoning Systems

Logical Reasoning Systems. Chapter 10. Some material adopted from notes by Tim Finin , Andreas Geyer-Schulz and Chuck Dyer. Introduction. Real knowledge representation and reasoning systems come in several major varieties. They all based on FOL but departing from it in different ways

327 views • 31 slides

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning. Chapter 12. Some material adopted from notes by Andreas Geyer-Schulz and Chuck Dyer. Overview. Approaches to knowledge representation Deductive/logical methods Forward-chaining production rule systems Semantic networks Frame-based systems

311 views • 29 slides

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning. Chapters 10.1-10.3, 10.6, 10.9. Some material adopted from notes by Andreas Geyer-Schulz and Chuck Dyer. Overview. Approaches to knowledge representation Deductive/logical methods Forward-chaining production rule systems Semantic networks

505 views • 28 slides

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning. Chapters 10.1-10.3, 10.6, 10.9. Some material adopted from notes by Andreas Geyer-Schulz and Chuck Dyer. Overview. Approaches to knowledge representation Deductive/logical methods Forward-chaining production rule systems Semantic networks

292 views • 28 slides

Knowledge Representation and Reasoning

Master of Science in Artificial Intelligence, 2010-2012. Knowledge Representation and Reasoning. University "Politehnica" of Bucharest Department of Computer Science Fall 2010 Adina Magda Florea http://turing.cs.pub.ro/krr_10 curs.cs.pub.ro. Lecture 4. ASSUMPTION BASED REASONING

320 views • 21 slides

Knowledge Representation and Reasoning

Master of Science in Artificial Intelligence, 2011-2013. Knowledge Representation and Reasoning. University "Politehnica" of Bucharest Department of Computer Science Fall 2011 Adina Magda Florea http://turing.cs.pub.ro/krr_11 curs.cs.pub.ro. Lecture 3. ASSUMPTION BASED REASONING

322 views • 21 slides

Knowledge Representation and Reasoning

Master of Science in Artificial Intelligence, 2011-2013. Knowledge Representation and Reasoning. University "Politehnica" of Bucharest Department of Computer Science Fall 2011 Adina Magda Florea http://turing.cs.pub.ro/krr_11 curs.cs.pub.ro. Lecture 3. ASSUMPTION BASED REASONING

303 views • 21 slides

Symbolic Reasoning under uncertainty

Story so far We have described techniques for reasoning with a complete, consistent and unchanging model of the world. But in many problem domains, it is not possible to create such models. So here we are going to explore techniques for solving problems with incomplete and uncertain models.

238 views • 18 slides

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning. Chapter 12. Some material adopted from notes by Andreas Geyer-Schulz and Chuck Dyer. Overview. Approaches to knowledge representation Deductive/logical methods Forward-chaining production rule systems Semantic networks Frame-based systems

270 views • 12 slides