Download Agent-Based Hybrid Intelligent Systems: An Agent-Based by Zili Zhang, Chengqi Zhang PDF

By Zili Zhang, Chengqi Zhang

Solving advanced difficulties in real-world contexts, reminiscent of monetary funding making plans or mining huge facts collections, consists of many various sub-tasks, every one of which calls for diversified thoughts. to accommodate such difficulties, an outstanding range of clever strategies can be found, together with conventional recommendations like professional structures ways and tender computing recommendations like fuzzy good judgment, neural networks, or genetic algorithms. those options are complementary methods to clever info processing instead of competing ones, and hence higher leads to challenge fixing are completed while those recommendations are mixed in hybrid clever structures. Multi-Agent platforms are ultimate to version the manifold interactions one of many various elements of hybrid clever systems.

This ebook introduces agent-based hybrid clever platforms and offers a framework and method bearing in mind the advance of such structures for real-world purposes. The authors specialise in functions in monetary funding making plans and knowledge mining.

Show description

Read or Download Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving PDF

Best machine theory books

Numerical computing with IEEE floating point arithmetic: including one theorem, one rule of thumb, and one hundred and one exercises

Are you accustomed to the IEEE floating aspect mathematics normal? do you want to appreciate it larger? This publication supplies a large evaluation of numerical computing, in a old context, with a unique specialize in the IEEE normal for binary floating element mathematics. Key principles are constructed step-by-step, taking the reader from floating aspect illustration, accurately rounded mathematics, and the IEEE philosophy on exceptions, to an knowing of the an important thoughts of conditioning and balance, defined in an easy but rigorous context.

Robustness in Statistical Pattern Recognition

This e-book is worried with vital difficulties of sturdy (stable) statistical pat­ tern acceptance whilst hypothetical version assumptions approximately experimental information are violated (disturbed). trend attractiveness conception is the sphere of utilized arithmetic within which prin­ ciples and techniques are developed for category and id of gadgets, phenomena, procedures, events, and indications, i.

Bridging Constraint Satisfaction and Boolean Satisfiability

This booklet offers an important step in the direction of bridging the components of Boolean satisfiability and constraint delight through answering the query why SAT-solvers are effective on yes sessions of CSP circumstances that are demanding to unravel for traditional constraint solvers. the writer additionally offers theoretical purposes for selecting a selected SAT encoding for numerous vital periods of CSP cases.

A primer on pseudorandom generators

A clean examine the query of randomness was once taken within the conception of computing: A distribution is pseudorandom if it can't be uncommon from the uniform distribution by means of any effective process. This paradigm, initially associating effective systems with polynomial-time algorithms, has been utilized with admire to a number of average periods of distinguishing tactics.

Extra resources for Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving

Sample text

Compared to the more integrated intelligent system applications, loosely-coupled models are easy to develop. They are amenable to the use of commercially available intelligent systems software, which reduces the programming burden on developers. Both the system design and implementation processes are simplified with loosely-coupled models. Finally, maintenance time is reduced because of the simplicity of the data file interface mechanism. Some limitations are associated with loosely-coupled models.

This improves the interactive capabilities of tightlycoupled models, in addition to enhancing their performance. Tight coupling has the benefits of reduced communication overheads and improved runtime performance, compared to loose coupling. Several commercial packages are suitable for developing tightly-coupled models, and maintaining the modularity of the expert system and neural network components. Overall, tight coupling offers design flexibility and robust integration. Tightly-coupled systems have three principal limitations.

6 Summary Among the above five agent-based hybrid systems, the MIX, PREDICTOR, and architecture for fuzzy modeling only integrated very limited soft computing techniques. Both the MIX and PREDICTOR systems are focused on the integration of neural networks and symbolic technologies such as expert systems. The multi-agent architecture of Delgado et al. concentrated on the integration of different fuzzy modeling techniques such as fuzzy clustering, fuzzy rule generation, and fuzzy rule tuning techniques.

Download PDF sample

Rated 4.37 of 5 – based on 9 votes