Artificial Intelligence
Design of a concurrent agent-oriented language
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
KLAIM: A Kernel Language for Agents Interaction and Mobility
IEEE Transactions on Software Engineering
Controlling interference in ambients
Proceedings of the 27th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Autonomous Agents and Multi-Agent Systems
MASIF: The OMG Mobile Agent System Interoperability Facility
MA '98 Proceedings of the Second International Workshop on Mobile Agents
D'Agents: Security in a Multiple-Language, Mobile-Agent System
Mobile Agents and Security
FoSSaCS '98 Proceedings of the First International Conference on Foundations of Software Science and Computation Structure
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Programming Mobile Intelligent Agents: An Operational Semantics
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Using Mobile Agents for Resource Sharing
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Design and semantics of quantum: a language to control resource consumption in distributed computing
DSL'97 Proceedings of the Conference on Domain-Specific Languages on Conference on Domain-Specific Languages (DSL), 1997
An unified framework for programming autonomous, intelligent and mobile agents
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
A mobile agents platform: architecture, mobility and security elements
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
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This paper presents a framework called Himalaya enabling to design and implement adaptive and distributed mobile multi-agent systems (MMAS). A distributed MMAS in our framework is a set of hierarchies of intelligent and mobile agents connected with respect to a topology. An MMAS is adaptive if its topology is flexible (agents are created or removed, the links between agents change in a dynamic manner) and if the internal structure of the agents may dynamically change, by acquiring new knowledge or capabilities. The features of Himalaya favor a dynamic adaptability and reconfiguring of systems.