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7 result(s) for "Expertsystemen."
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Design and decision support systems in architecture
This volume contains a referred selection of contributions presented at the conference on 'Design and Decision Support Systems in Architecture and Urban Planning' held in Mierlo, The Netherlands, in July 1992.
Knowledge discovery for business information systems
Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited. Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing. To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis.
The Application of Expert Systems in Libraries and Information Centres
No detailed description available for \"The Application of Expert Systems in Libraries and Information Centres\".
Signs, search and communication : semiotic aspects of artificial intelligence
A selection of papers presented at the conference Expert Systems, Culture and Semiotics, held in Groningen, the Netherlands, December 1990. The volume is divided into three parts. The first part is about signs and representations, the second about reasoning and search, and the third about communication and interaction between and with expert or kno
Understanding Intelligence
By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run \"programs\"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior--thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, \"new AI,\" and \"behavior-based AI.\"This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building.The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.