num_pages: 625
description: 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 languagesAutomation in designSymbolic and quantitative reasoningInductive and deductive reasoningSearching spaces of discrete solutionsNonmonotonic reasoningAnalogical learningEmpirical learning through neural networksReasoning in timeLogic in numerical computingTogether 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 problemsExposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learningRepresents the product of a decade of experience in integrating AI into process engineeringOffers expanded and realistic formulations of real-world problems
language: English
title: Intelligent Systems in Process Engineering: Paradigms From Design and Operations
titlecomplete: Intelligent Systems in Process Engineering: Paradigms From Design and Operations (Advances in Chemical Engineering)
ratings_count: 24
publisher: Academic Press