Artificial Intelligence in Industrial Decision Making, by Spyros Tzafestas, Henk Verbruggen (auth.), Professor Spyros

By Spyros Tzafestas, Henk Verbruggen (auth.), Professor Spyros G. Tzafestas, Henk B. Verbruggen (eds.)

This e-book is worried with synthetic Intelligence (AI) thoughts and strategies as utilized to business determination making, regulate and automation difficulties. the sector of AI has been increased drastically over the last years because of that good theoretical and alertness effects have collected. throughout the first level of AI improvement such a lot staff within the box have been content material with illustrations exhibiting principles at paintings on basic difficulties. Later, because the box matured, emphasis used to be grew to become to demonstrations that confirmed the aptitude of AI concepts to address difficulties of useful price. Now, we arrived on the level the place researchers and practitioners are literally construction AI structures that face real-world and business difficulties. This quantity offers a suite of twenty 4 well-selected contributions that care for the appliance of AI to such real-life and business difficulties. those contributions are grouped and provided in 5 components as follows: half 1: common concerns half 2: clever platforms half three: Neural Networks in Modelling, keep an eye on and Scheduling half four: process Diagnostics half five: commercial robot, production and Organizational structures half 1 comprises 4 chapters delivering history fabric and working with common matters comparable to the conceptual integration of qualitative and quantitative versions, the remedy of timing difficulties at approach integration, and the research of right reasoning in interactive man-robot systems.

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G. ) can be applied in an expert system. It leads to a message describing the possible fault and recommending remedial action. In case of uncertainty, a number of alternatives with descending probability are presented to the operator, allowing him or her to select the most adequate solution for the time being, eventually supported by additional information not taken into account by the expert systeIl1. It is often possible to detect in an early stage possible malfunctioning of (a part) of the system.

Each is composed of objects that have the responsibility of fulfilling a function. The multilevel flow modeling (MFM) method deals with goals and functions and can be used to describe the process for fault detection and diagnosis [98]. 7. ARTIFICIAL INTELLIGENCE IN ROBOTIC AND MANUFACTURING SYSTEMS Two areas where AI/expert systems technology has found wide application are robotics and manufacturing systems. The evolution of robotic systems was done in three generations, from systems with no computing and sensory capabilities, to systems with limited computational and feedback capabilities, and finally to systems with multisensory and decision making capabilities.

The central idea of these methods is to have one general purpose inference engine that may be used for any domain by describing initial state, goal and the operators in a logic formalism. The major problem with linear planners is the goal interaction.

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