Intelligent Systems in Process Engineering: Paradigms From Design and Operations

This book contains ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation and control theory, and statistics. Each paradigm hasbeen constructed around an engineering problem, e.g., product design, process design, process operations monitoring, planning, scheduling, or control. Each paradigm also advances a specific methodological theme in AI, such
Modeling languages
Automation in design
Symbolic and quantitative reasoning
Inductive and deductive reasoning
Searching spaces of discrete solutions
Nonmonotonic reasoning
Analogical learning
Empirical learning through neural networks
Reasoning in time
Logic in numerical computing
Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge available to be used in solving a broad range of engineering problems.

Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems
Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning
Represents the product of a decade of experience in integrating AI into process engineering
Offers expanded and realistic formulations of real-world problems