Ebook: Intellectics and Computational Logic: Papers in Honor of Wolfgang Bibel

`Intellectics' seeks to understand the functions, structure and operation of the human intellect and to test artificial systems to see the extent to which they can substitute or complement such functions. The word itself was introduced in the early 1980s by Wolfgang Bibel to describe the united fields of artificial intelligence and cognitive science.
The book collects papers by distinguished researchers, colleagues and former students of Bibel's, all of whom have worked together with him, and who present their work to him here to mark his 60th birthday. The papers discuss significant issues in intellectics and computational logic, ranging across automated deduction, logic programming, the logic-based approach to intellectics, cognitive robotics, knowledge representation and reasoning. Each paper contains new, previously unpublished, reviewed results. The collection is a state of the art account of the current capabilities and limitations of a computational-logic-based approach to intellectics.
Readership: Researchers who are convinced that the intelligent behaviour of machines should be based on a rigid formal treatment of knowledge representation and reasoning.

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`Intellectics' seeks to understand the functions, structure and operation of the human intellect and to test artificial systems to see the extent to which they can substitute or complement such functions. The word itself was introduced in the early 1980s by Wolfgang Bibel to describe the united fields of artificial intelligence and cognitive science.
The book collects papers by distinguished researchers, colleagues and former students of Bibel's, all of whom have worked together with him, and who present their work to him here to mark his 60th birthday. The papers discuss significant issues in intellectics and computational logic, ranging across automated deduction, logic programming, the logic-based approach to intellectics, cognitive robotics, knowledge representation and reasoning. Each paper contains new, previously unpublished, reviewed results. The collection is a state of the art account of the current capabilities and limitations of a computational-logic-based approach to intellectics.
Readership: Researchers who are convinced that the intelligent behaviour of machines should be based on a rigid formal treatment of knowledge representation and reasoning.

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`Intellectics' seeks to understand the functions, structure and operation of the human intellect and to test artificial systems to see the extent to which they can substitute or complement such functions. The word itself was introduced in the early 1980s by Wolfgang Bibel to describe the united fields of artificial intelligence and cognitive science.
The book collects papers by distinguished researchers, colleagues and former students of Bibel's, all of whom have worked together with him, and who present their work to him here to mark his 60th birthday. The papers discuss significant issues in intellectics and computational logic, ranging across automated deduction, logic programming, the logic-based approach to intellectics, cognitive robotics, knowledge representation and reasoning. Each paper contains new, previously unpublished, reviewed results. The collection is a state of the art account of the current capabilities and limitations of a computational-logic-based approach to intellectics.
Readership: Researchers who are convinced that the intelligent behaviour of machines should be based on a rigid formal treatment of knowledge representation and reasoning.
Content:
Front Matter....Pages i-xi
Prologue....Pages 1-2
A Confluent Connection Calculus....Pages 3-26
Prioritizing Default Logic....Pages 27-45
A Connection Calculus for Handling Incomplete Information....Pages 47-66
The Connection Method, Constraints and Model Building....Pages 67-84
Towards a Logical Characterisation of Sentences of the Kind “Sentence P is about Object C”....Pages 85-99
The Cut Rule in Theorem Proving....Pages 101-123
Some Strengths of Nonmonotonic Reasoning....Pages 125-141
Composing Re-Usable Synthesis Methods through Graph-Based Viewpoints....Pages 143-158
Proof Structures and Matrix Graphs....Pages 159-173
AI and Cognitive Science: Feedback Leads to a New Neural Concept....Pages 175-188
Matrix-Based Constructive Theorem Proving....Pages 189-205
Complex Plans in the Fluent Calculus....Pages 207-223
Querying Aol Knowledge Bases....Pages 225-244
Properties and Relations of Tableau and Connection Calculi....Pages 245-261
Concepts in Proof Planning....Pages 263-276
Proof = Guarantee + Explanation....Pages 277-294
Automated Theorem Proving in High-Quality Software Design....Pages 295-312
A Complete Neural Network Algorithm for Horn-SAT....Pages 313-325
Nondeterministic Actions in the Fluent Calculus: Disjunctive State Update Axioms....Pages 327-345
The Illusion of Knowledge....Pages 347-359
Criteria for Termination....Pages 361-386
Epilogue....Pages 387-387
Back Matter....Pages 388-388

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`Intellectics' seeks to understand the functions, structure and operation of the human intellect and to test artificial systems to see the extent to which they can substitute or complement such functions. The word itself was introduced in the early 1980s by Wolfgang Bibel to describe the united fields of artificial intelligence and cognitive science.
The book collects papers by distinguished researchers, colleagues and former students of Bibel's, all of whom have worked together with him, and who present their work to him here to mark his 60th birthday. The papers discuss significant issues in intellectics and computational logic, ranging across automated deduction, logic programming, the logic-based approach to intellectics, cognitive robotics, knowledge representation and reasoning. Each paper contains new, previously unpublished, reviewed results. The collection is a state of the art account of the current capabilities and limitations of a computational-logic-based approach to intellectics.
Readership: Researchers who are convinced that the intelligent behaviour of machines should be based on a rigid formal treatment of knowledge representation and reasoning.
Content:
Front Matter....Pages i-xi
Prologue....Pages 1-2
A Confluent Connection Calculus....Pages 3-26
Prioritizing Default Logic....Pages 27-45
A Connection Calculus for Handling Incomplete Information....Pages 47-66
The Connection Method, Constraints and Model Building....Pages 67-84
Towards a Logical Characterisation of Sentences of the Kind “Sentence P is about Object C”....Pages 85-99
The Cut Rule in Theorem Proving....Pages 101-123
Some Strengths of Nonmonotonic Reasoning....Pages 125-141
Composing Re-Usable Synthesis Methods through Graph-Based Viewpoints....Pages 143-158
Proof Structures and Matrix Graphs....Pages 159-173
AI and Cognitive Science: Feedback Leads to a New Neural Concept....Pages 175-188
Matrix-Based Constructive Theorem Proving....Pages 189-205
Complex Plans in the Fluent Calculus....Pages 207-223
Querying Aol Knowledge Bases....Pages 225-244
Properties and Relations of Tableau and Connection Calculi....Pages 245-261
Concepts in Proof Planning....Pages 263-276
Proof = Guarantee + Explanation....Pages 277-294
Automated Theorem Proving in High-Quality Software Design....Pages 295-312
A Complete Neural Network Algorithm for Horn-SAT....Pages 313-325
Nondeterministic Actions in the Fluent Calculus: Disjunctive State Update Axioms....Pages 327-345
The Illusion of Knowledge....Pages 347-359
Criteria for Termination....Pages 361-386
Epilogue....Pages 387-387
Back Matter....Pages 388-388
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