http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
This comprehensive work deals with the applications of artificial intelligence in engineering, addressing both the theoretical and practical aspects of developing intelligent systems. Particular emphasis is placed on knowledge-based expert systems and on neural networks, with sections on knowledge representation, searching and solving strategies, blackboard systems, analogical, case-based and qualitative reasoning, and project management. Knowledge-based system building tools are discussed, along with practical tips on building large intelligent systems for solving engineering problems. Clearly explaining the key concepts with relevant examples, and with additional contributions from leading researchers in the field, this is a book written by an engineer for an engineering audience. Prepared with the graduate student in mind, it will also be of value as a general reference work in this highly topical area.
Knowledge-Based expert systems: An overview -- Problem solving: Introduction to search methods -- Knowledge representation -- Knowledge-centered problem solving strategies -- Blackboard systems -- Analogcal and case-based reasoning -- Qualitative reasoning -- Neural Networks -- Project management -- Knowledge-based system building tools -- A: Inexact inference techniques -- B: Multiple levels in mechanical device representation.