Communications of the ACM
Neural network and fuzzy logic applications in C/C++
Neural network and fuzzy logic applications in C/C++
Engineering intelligent hybrid multi-agent systems
Engineering intelligent hybrid multi-agent systems
Intelligent agents in portfolio management
Agent technology
On agent-based software engineering
Artificial Intelligence
Portfolio selection based on fuzzy probabilities and possibility distributions
Fuzzy Sets and Systems
A generic architecture for hybrid intelligent systems
Deep fusion of computational and symbolic processing
An improvement to matchmaking algorithms for middle agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management
Intelligent Hybrid Systems
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
An Agent-Based Hybrid Intelligent System for Financial Investment Planning
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Issues in Agent-Based Software Engineeing
CIA '97 Proceedings of the First International Workshop on Cooperative Information Agents
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Many complex problems including financial investment planning, foreign exchange trading, knowledge discovery from large/multiple databases require hybrid intelligent systems that integrate many intelligent techniques including expert systems, fuzzy logic, neural networks, and genetic algorithms. However, hybrid intelligent systems are difficult to develop because they have a large number of parts or components that have many interactions. On the other hand, agents offer a new and often more appropriate route to the development of complex systems, especially in open and dynamic environments. In this paper, it is argued that agent technology is well snited for constructing hybrid intelligent systems (especially loosely coupled hybrid intelligent systems) through a successful case study. A great number of heterogeneous computing techniques/packages are easily integlated into the experimental system under a unifying agent framework, which implies that agent technology can greatly facilitate the construction of hybrid intelligent systems.