Agent-Based Hybrid Intelligent Systems

2004 ◽  
Author(s):  
Zili Zhang ◽  
Chengqi Zhang
Keyword(s):  
Intelligent Systems ◽  
Agent Based ◽  
Hybrid Intelligent Systems

PAHIS: A Platform for Agent-Based Hybrid Intelligent Systems

2013 ◽  
Vol 462-463 ◽  
pp. 915-919
Author(s):  
Chun Sheng Li ◽  
Kan Li
Keyword(s):  
Intelligent Systems ◽  
Agent Based ◽  
Hybrid Intelligent Systems ◽  
Virtual Organisation ◽  
Group Roles ◽  
Architectural Model ◽  
Run Time

For solving the dynamic addition and removal problems of group-based agents at run-time, PAHIS is developed by analysis and mplementation. Category role, group roles, virtual organisation role, and dynamics rules are conducted in analysis. A self-organising ring-based architectural model has been employed to organise middle agents in implementation. PAHIS is implemented by using C and Socket and can be used as an infrastructure of agent-based hybrid intelligent systems.

The hybrid intelligent systems design using grey systems theory

2015 ◽  
Vol 5 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Scarlat Emil ◽  
Virginia Mărăcine
Keyword(s):  
Systems Theory ◽  
Intelligent Systems ◽  
Explicit Knowledge ◽  
Intelligent System ◽  
Grey System Theory ◽  
Knowledge Flows ◽  
Content Type ◽  
Hybrid Intelligent Systems ◽  
Advantages And Disadvantages ◽  
Grey Systems Theory

Purpose – The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems. Design/methodology/approach – Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages. Findings – Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches. Originality/value – The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.

Modeling intrusion detection system using hybrid intelligent systems

2007 ◽  
Vol 30 (1) ◽  
pp. 114-132 ◽  
Author(s):  
Sandhya Peddabachigari ◽  
Ajith Abraham ◽  
Crina Grosan ◽  
Johnson Thomas
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Intelligent Systems ◽  
Detection System ◽  
Hybrid Intelligent Systems
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