Logical and Computational Aspects of Model-Based Reasoning

✍ Scribed by Lorenzo Magnani, Nancy J. Nersessian, Claudio Pizzi (eds.)

• Publisher: Springer Netherlands
• Year: 2002
• Tongue: English
• Leaves: 344
• Series: Applied Logic Series 25
• Edition: 1
• Category: Library

✦ Synopsis

Information technology has been, in recent years, under increasing commercial pressure to provide devices and systems which help/ replace the human in his daily activity. This pressure requires the use of logic as the underlying foundational workhorse of the area. New logics were developed as the need arose and new foci and balance has evolved within logic itself. One aspect of these new trends in logic is the rising impor­ tance of model based reasoning. Logics have become more and more tailored to applications and their reasoning has become more and more application dependent. In fact, some years ago, I myself coined the phrase "direct deductive reasoning in application areas", advocating the methodology of model-based reasoning in the strongest possible terms. Certainly my discipline of Labelled Deductive Systems allows to bring "pieces" of the application areas as "labels" into the logic. I therefore heartily welcome this important book to Volume 25 of the Applied Logic Series and see it as an important contribution in our overall coverage of applied logic.

✦ Table of Contents

Front Matter....Pages i-xvi
Front Matter....Pages 1-1
A Case Study of the Design and Implementation of Heterogeneous Reasoning Systems....Pages 3-20
A Logical Approach to the Analysis of Metaphors....Pages 21-37
Ampliative Adaptive Logics and the Foundation of Logic-Based Approaches to Abduction....Pages 39-71
Diagrammatic Inference and Graphical Proof....Pages 73-91
A Logical Analysis of Graphical Consistency Proofs....Pages 93-115
Adaptive Logics for Non-Explanatory and Explanatory Diagnostic Reasoning....Pages 117-142
Model-Guided Proof Planning....Pages 143-162
Degrees of Abductive Boldness....Pages 163-180
Scientific Explanation and Modified Semantic Tableaux....Pages 181-198
Front Matter....Pages 199-199
Computational Discovery of Communicable Scientific Knowledge....Pages 201-225
Encoding and Using Domain Knowledge on Population Dynamics for Equation Discovery....Pages 227-247
Reasoning about Models of Nonlinear Systems....Pages 249-271
Model-Based Diagnosis of Dynamic Systems: Systematic Conflict Generation....Pages 273-291
Modeling Through Human-Computer Interactions and Mathematical Discourse....Pages 293-311
Combining Strategy and Sub-Models for the Objectified Communication of Research Programs....Pages 313-330
Back Matter....Pages 331-342

✦ Subjects

Logic; Artificial Intelligence (incl. Robotics)