temporarily out of stock
Advances in Chemical Engineering (Volume 21)
George Stephanopoulos, John Anderson, James Wei, Morton Denn, John Seinfeld, Chonghun Han
Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems.
C.J. Nagel, C. Han, and G. Stephanopoulos, Modeling Languages: Declarative and Imperative Descriptions of Chemical Reactions and Processing Systems. C. Han, G. Stephanopoulos, and J.M. Douglas, Automation in Design:The Conceptual Synthesis of Chemical Processing Schemes. M.L. Mavrovouniotis, Symbolic and Quantitative Reasoning: Design of Reaction Pathways through Recursive Satisfaction of Constraints. C. Nagel and G. Stephanopoulos, Inductive and Deductive Reasoning: The Case of Identifying Potential Hazards in Chemical Processes. K.G. Joback and G. Stephanopoulos, Searching Spaces of Discrete Solutions: The Design of Molecules Possessing Desired Physical Properties. References.