Systems One
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Agent-Based Hybrid Intelligent Systems
Author: Zili Zhang (Ph.D.)
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-01-28
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.
Systems Engineering Simplified
Designed to give non-engineers an understanding of systems engineering, Systems Engineering Simplified presents a gentle introduction to the subject and its importance in any profession. The book shows you how to look at any system as a whole and use this knowledge to gain a better understanding of where a system might break down, how to troublesho
Informing Science Volume One: Concepts and Systems
The two volume Informing Science series is the first attempt to survey and synthesize research in the informing science transdiscipline. Part textbook, part collection of readings, the two volumes present both important research findings relating to the field and highlight fertile directions for future research. Volume One: Concepts and Systems focuses on the key building blocks of informing science. It begins with an overview of the transdiscipline, tracing its evolution from Cohen’s original proposal to its present state. Next, it considers a series of concepts that frequently elude attempts at rigorous definition. Among these: theory, research, information, knowledge and complexity. With working definitions established, it goes on to explore basic systems theory, introducing the concept of an informing system. The key elements of such systems—the channel, the sender/informer, and the receiver/client—are then examined individually. The volume concludes with two overview chapters. The first of these looks at the analysis of a basic informing system, in which a single informer interacts directly with a clearly specified client or set of clients. The last chapter extends these ideas to the more complex topologies (e.g., multiple channels, multiple informers, multiple clients, layers of informing) that are more typical in real world informing contexts.