Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Modeling Complex Systems by Multi-agent Holarchies
EUROCAST '99 Proceedings on Computer Aided Systems Theory
HOMASCOW: A Holonic Multi-Agent System for Cooperative Work
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A Framework for Sensor Management in Wireless and Heterogeneous Sensor Network
ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
Wireless Sensor Network Based System for Fire Endangered Areas
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
The Design of an Artificial Immune System
ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Adaptive Misbehavior Detection in Wireless Sensors Network Based on Local Community Agreement
ECBS '07 Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
The human in the loop of a delegated agent: the theory of adjustable social autonomy
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
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In this paper we describe the results of modelling an activity in WSN; we concentrate on effects of organising groups of sensors, on relationships between sensors and the effects on their autonomy. Consequently our work are concentrated on developing the formal methods and techniques necessary to model and evaluate situations in the network, processes of decisions making and implementing intelligent behavior while following the general outlines of the network activity. These requirements will entail investigating ways in which intelligent systems evaluate, interact and self-organise, both individually and cooperating with other aerial explorers or interacting with environmental stimulus.