An Approach To Logic Object Oriented Concurrent Robot Programming And Performance Aspects
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Logic/Object-Oriented Concurrent Robot Programming and Performance Aspects
Author: Alfried Pollmann
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2020-10-12
No detailed description available for "Logic/Object-Oriented Concurrent Robot Programming and Performance Aspects".
7th Int. Conf. Industrial & En
Over the years, the promise of artificial intelligence has inspired many researchers and many schemes, only to have incipient hopes thwarted by its complexity. With each generation of computational engines, a new wave of enthusiasm sweeps the community as solutions to a few problems come within reach. However, intractability and undecidability continue to frustrate the unwary practitioner, while unsubstantiated methodologies offer ingenious solutions that hold more promise than potential. Despite its undulate past and variegated present, AI has made solid contributions to a growing information technology. Expert systems and allied tools have become a mainstay of industrial and business organizations; intelligent interfaces have increased accessibility of computational resources; and robotic innovations have redefined the manufacturing industries. Meanwhile, research in evolutionary algorithms, neural networks, fuzzy reasoning, and other exciting approaches promise continued progress in surprising new directions. These proceedings record the latest results of industrial, commercial, military, and academic artificial intelligence exploration. Seventy-seven papers divided into twenty different areas document a significant slice of this broad and exciting field. Although dozens of themes are treated in the papers, the topical divisions of this volume comprise: The Software Engineering/AI Interface, Knowledge-Based Systems. Temporal Reasoning, Machine Learning, Robotics, Intelligent Databases, Planning, Expert Systems Applications, Search Techniques, Genetic and Evolutionary Methods, Design, Qualitative Reasoning, Neural Networks, Knowledge Representation, Application Paradigms, Fuzzy andPattern Recognition, Reasoning about Physical Systems, Parallel and Distributed AI, and Diagnostic Systems.