This volume contains the papers, updated in some cases,presented at the first AISMC (Artificial Intelligence andSymbolic Mathematical Computations)conference, held inKarlsruhe, August 3-6, 1992. This was the first conferenceto be devoted to such a topic after a long period when SMCmade no appearance in AI conferences, though it used to bewelcome in the early days of AI. Some conferences were heldrecently on mathematics and AI, but none was directlycomparable in scope to this conference.Because of the novelty of the domain, authors were givenlonger allocations of time than usual in which to presenttheir work. As a result, extended and fruitful discussionsfollowed each paper. The introductory chapter in this book,which was not presented during the conference, reflects inmany ways the flavor of these discussions and aims to setout the framework for future activities in this domain ofresearch. In addition to the introduction, the volumecontains 20 papers.
Artificial intelligence and symbolic mathematical computations.- Qualitative modeling of physical systems in AI research.- On the topological structure of configuration spaces.- A symbolic approach to interval constraint problems.- An algebraic approach to knowledge-based modeling.- Intelligent user interfaces for symbolic and numeric computation.- The progress towards an intelligent assistant - A discussion paper.- On mathematical modeling in robotics.- Grobner bases: Strategies and applications.- Heuristic search strategies for Cylindrical Algebraic Decomposition.- Unified domains and abstract computational structures.- Completion and invariant theory in symbolic computation and artificial intelligence.- A type-coercion problem in computer algebra.- Algorithmic development of power series.- A cooperative approach to query processing: Integrating historical, structural, and behavioral knowledge sources.- A desk-top sequent calculus machine.- Gentzen-style characterizations of Negation as Failure.- A new translation from deduction into integer programming.- Reasoning about time.- Learning qualitative physics reasoning from regime analysis.- Qualitative mathematical modelling of genetic algorithms.
Series: Lecture Notes in Computer Science
Number Of Pages: 315
Published: 5th October 1993
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6
Weight (kg): 0.46