Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.- Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing- Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence- Provides many applications and examples in the engineering and computer science area- Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models
Our site uses cookies and similar technologies to offer you a better experience. We use analytical cookies (our own and third party) to understand and improve your browsing experience, and advertising cookies (our own and third party) to send you advertisements in line with your preferences. To modify or opt-out of the use of some or all of our cookies, please go to “Manage Cookies” or view our Cookie Policy to find out more. By clicking “Accept all” you consent to the use of these cookies.
