Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Logical foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
System Software for Ubiquitous Computing
IEEE Pervasive Computing
The Holonic Enterprise: Modeling Holarchies as MAS to Enable Global Collaboration
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Towards self-organization in multi-agent systems and Grid computing
Multiagent and Grid Systems
| Hi-index | 0.00 |
Positioned at the confluence between human/machine and hardware/software integration and backed by a solid proof of concept realized through several scenarios encompassing e-Securities, e-Health, and e-Logistics for global manufacturing and emergency response management, this work exploits latest advances in information and networking technologies to set a systematic framework for the design of the information infrastructures (coined as AIIs – Adaptive Information Infrastructures) destined to fuel tomorrow's e-Society. Designed following the natural laws of evolution, which merge self-organization and natural selection [1], these socially embedded information infrastructures can adapt to fulfill various needs as their environment demands. Computational intelligence techniques endow the AIIs with learning and discovery capabilities, emulating social and biological behavior. AIIs are destined to become an integral part of our life by supporting, rather than disturbing, a framework that facilitates strategic partnerships while providing greater user-friendliness, more efficient services support, user-empowerment, and support for human interactions.