Artificial Intelligence and Responsive Optimization
by M. Khoshnevisan, S. Bhattacharya, F. Smarandache
Publisher: Xiquan 2003
Number of pages: 87
The purpose of this book is to apply the Artificial Intelligence and control systems to different real models. It covers fuzzy utility systems, computational models for a simple portfolio insurance strategy, an artificial classification scheme to isolate truly benign tumors from those that initially start off as benign but subsequently show metastases, and an alternative methodological approach for quantifying utility in terms of expected information content of the decision-maker’s choice set.
Home page url
Download or read it online for free here:
by Vedran Kordic - InTech
The field of multi agent systems investigates the process underlying distributed problem solving and designs some protocols and mechanisms involved in this process. This book presents an overview of the research issues in the field of multi agents.
by Mike Sharples, et al. - A Bradford Book
The aim of this book is to introduce people with little or no computing background to artificial intelligence (AI) and cognitive science. It emphasizes the psychological, social, and philosophical implications of artificial intelligence.
by Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by Xin-Xing Tang (ed.) - InTech
Virtual reality has impact on information organization and management and even changes design principle of information systems, which will make it adapt to application requirements. The book aims to provide a broader perspective of virtual reality.