Conditionals in Nonmonotonic Reasoning and Belief Revision Considering Conditionals as Agents /
Kern-Isberner, Gabriele.
Conditionals in Nonmonotonic Reasoning and Belief Revision Considering Conditionals as Agents / [electronic resource] : by Gabriele Kern-Isberner. - 1st ed. 2001. - X, 194 p. online resource. - Lecture Notes in Artificial Intelligence, 2087 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 2087 .
Belief Revision and Nonmonotonic Reasoning — State of the Art -- Conditionals -- Revising Epistemic States by Conditional Beliefs -- Characterizing the Principle of Minimum Cross-Entropy -- Reasoning at Optimum Entropy -- Belief Revision and Nonmonotonic Reasoning — Revisited -- Knowledge Discovery by Following Conditional Structures -- Algorithms and Implementations -- Conclusion.
Conditionals are omnipresent, in everyday life as well as in scientific environments; they represent generic knowledge acquired inductively or learned from books. They tie a flexible and highly interrelated network of connections along which reasoning is possible and which can be applied to different situations. Therefore, conditionals are important, but also quite problematic objects in knowledge representation. This book presents a new approach to conditionals which captures their dynamic, non-proportional nature particularly well by considering conditionals as agents shifting possible worlds in order to establish relationships and beliefs. This understanding of conditionals yields a rich theory which makes complex interactions between conditionals transparent and operational. Moreover,it provides a unifying and enhanced framework for knowledge representation, nonmonotonic reasoning, belief revision,and even for knowledge discovery.
9783540446002
10.1007/3-540-44600-1 doi
Artificial intelligence.
Machine theory.
Artificial Intelligence.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3
Conditionals in Nonmonotonic Reasoning and Belief Revision Considering Conditionals as Agents / [electronic resource] : by Gabriele Kern-Isberner. - 1st ed. 2001. - X, 194 p. online resource. - Lecture Notes in Artificial Intelligence, 2087 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 2087 .
Belief Revision and Nonmonotonic Reasoning — State of the Art -- Conditionals -- Revising Epistemic States by Conditional Beliefs -- Characterizing the Principle of Minimum Cross-Entropy -- Reasoning at Optimum Entropy -- Belief Revision and Nonmonotonic Reasoning — Revisited -- Knowledge Discovery by Following Conditional Structures -- Algorithms and Implementations -- Conclusion.
Conditionals are omnipresent, in everyday life as well as in scientific environments; they represent generic knowledge acquired inductively or learned from books. They tie a flexible and highly interrelated network of connections along which reasoning is possible and which can be applied to different situations. Therefore, conditionals are important, but also quite problematic objects in knowledge representation. This book presents a new approach to conditionals which captures their dynamic, non-proportional nature particularly well by considering conditionals as agents shifting possible worlds in order to establish relationships and beliefs. This understanding of conditionals yields a rich theory which makes complex interactions between conditionals transparent and operational. Moreover,it provides a unifying and enhanced framework for knowledge representation, nonmonotonic reasoning, belief revision,and even for knowledge discovery.
9783540446002
10.1007/3-540-44600-1 doi
Artificial intelligence.
Machine theory.
Artificial Intelligence.
Formal Languages and Automata Theory.
Q334-342 TA347.A78
006.3