TY - BOOK ID - 5448942 TI - Agent-Based Hybrid Intelligent Systems : An Agent-Based Framework for Complex Problem Solving AU - Zhang, Zili AU - Zhang, Zili. AU - Zhang, Chengqi. PY - 2004 SN - 1280306785 9786610306787 3540246231 3540209085 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Computer science. KW - Software engineering. KW - Database management. KW - Artificial intelligence. KW - Information systems. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Software Engineering. KW - Computation by Abstract Devices. KW - Database Management. KW - Computer Appl. in Administrative Data Processing. KW - Intelligent agents (Computer software) KW - Expert systems (Computer science) KW - Soft computing KW - Hybrid computers KW - Computer Science KW - Engineering & Applied Sciences KW - Soft computing. KW - Hybrid computers. KW - Knowledge-based systems (Computer science) KW - Systems, Expert (Computer science) KW - Agents, Autonomous (Computer software) KW - Agents, Cognitive (Computer software) KW - Agents, Intelligent (Computer software) KW - Assistants, Cognitive (Computer software) KW - Assistants, Intelligent software KW - Autonomous agents (Computer software) KW - Cognitive agents (Computer software) KW - Cognitive assistants (Computer software) KW - IAs (Computer software) KW - Intelligent agent software KW - Intelligent software agents KW - Intelligent software assistants KW - Software agents (Computer software) KW - Special agents (Computer software) KW - Computers. KW - Application software. KW - Computers KW - Cognitive computing KW - Electronic data processing KW - Computational intelligence KW - Artificial intelligence KW - Computer systems KW - Computer programs KW - Artificial Intelligence. KW - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management KW - Informatics KW - Science KW - Computer software engineering KW - Engineering KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Cybernetics KW - Calculators KW - Cyberspace KW - Information technology KW - Theory of Computation. KW - Computer Application in Administrative Data Processing. KW - Management. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5448942 AB - Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining. ER -