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Hybridization of intelligent systems is a promising research field of computational intelligence focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness that combined approaches
will be necessary if the remaining tough problems in artificial intelligence are to be solved. Neural computing, machine learning, fuzzy logic, evolutionary algorithms, agent-based methods, among others, have been established and shown their strength and drawbacks.
Recently, hybrid intelligent systems are getting popular due to their capabilities in handling several real world complexities involving imprecision, uncertainty and vagueness.
HIS'05 builds on the success of previous HIS events: HIS'04 was held in Kitakyushu, Japan, HIS'03 in Melbourne, Australia, HIS'02 in Santiago, Chile, and HIS'01, the first event, in Adelaide, Australia.
All events attracted participants from over 30 countries. HIS'05 is, therefore, the fifth International Conference that brings together researchers, developers, practitioners, and users of soft computing, computational intelligence, multi-agents, and several other intelligent computing techniques. The objectives of this
international meeting are to increase the awareness of the research community of the broad spectrum of hybrid techniques, to bring together AI researchers from around the world to present their cutting-edge results, to discuss the current trends in HIS research, to develop a collective vision of future opportunities, to establish international collaborative opportunities, and as a result to advance the state of the art of the field.
HIS'05 invites authors to submit original and unpublished work that demonstrates current research in hybrid intelligent systems research and their applications in science, technology, business and commerce.
Submitted papers have to be original, containing new and original
results. The assessment criteria will be heavily weighted towards originality, potential impact and relevance to HIS'05 themes. All papers will be peer reviewed by three independent referees of the international program committee of HIS'05.
HIS'05 will focus on the following topics:
** Theoretical Advances in Hybrid Intelligent System Architectures
* Interactions between neural networks and fuzzy inference systems
* Hybrid learning techniques
(supervised/unsupervised/reinforcement learning)
* Artificial neural network optimization using global
optimization techniques
* Fuzzy inference system optimization using global optimization algorithms
* Hybrid systems involving support vector machines, rough sets,
Bayesian networks, probabilistic reasoning, minimum message length, etc.
* Hybrid computing using neural networks - fuzzy systems -
evolutionary algorithms
* Hybrid optimization techniques (evolutionary algorithms,
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