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 as: 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