Communications of the ACM
Neural network and fuzzy logic applications in C/C++
Neural network and fuzzy logic applications in C/C++
Essential JNI: Java Native Interface
Essential JNI: Java Native Interface
Engineering intelligent hybrid multi-agent systems
Engineering intelligent hybrid multi-agent systems
Intelligent agents in portfolio management
Agent technology
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed 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
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
Building agent-based hybrid intelligent systems
Design and application of hybrid intelligent systems
A decision support model for wireless information management using mobile agents
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Fuzzy expert system for solving lost circulation problem
Applied Soft Computing
Building agent-based hybrid intelligent systems: A case study
Web Intelligence and Agent Systems
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Decision aggregation in an agent-based financial investment planning system
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
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Many complex problems including financial investment planning 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 due to complicated interactions and technique incompatibilities. this paper describes a hybrid intelligent system for financial investment planning that was built from agent points of view. this system currently consists of 13 different agents. the experimental results show that all agents in the system can work cooperatively to provide reasonable investment advice. the system is very flexible and robust. the success of the system indicates that agent technologies can significantly facilitate the construction of hybrid intelligent systems.