The ant colony optimization meta-heuristic
New ideas in optimization
Design patterns from biology for distributed computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Case studies for self-organization in computer science
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Proceedings of the 2008 ACM symposium on Applied computing
Flexible self-healing gradients
Proceedings of the 2009 ACM symposium on Applied Computing
An evaporation mechanism for dynamic and noisy multimodal optimization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An energy-efficient, multi-agent sensor network for detecting diffuse events
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Design patterns for decentralised coordination in self-organising emergent systems
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Description and Composition of Bio-inspired Design Patterns: The Gossip Case
EASE '11 Proceedings of the 2011 Eighth IEEE International Conference and Workshops on Engineering of Autonomic and Autonomous Systems
Motion coordination in the quake 3 arena environment: a field-based approach
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Self-organising pervasive ecosystems: a crowd evacuation example
SERENE'11 Proceedings of the Third international conference on Software engineering for resilient systems
(No) more design patterns for multi-agent systems
Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE!'11, AOOPES'11, NEAT'11, & VMIL'11
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Bio-inspired mechanisms have been extensively used in the last decade for solving optimisation problems and for decentralised control of sensors, robots or nodes in P2P systems. Different attempts at describing some of these mechanisms have been proposed, some of them under the form of design patterns. However, there is not so far a clear catalogue of these mechanisms, described as patterns, showing the relations between the different patterns and identifying the precise boundaries of each mechanism. To ease engineering of artificial bio-inspired systems, this paper describes a group of bio-inspired mechanisms in terms of design patterns organised into different layers. This approach is exemplified through the description of 7 bio-inspired mechanisms: three basic ones (Spreading, Aggregation, and Evaporation), a mid-level one (Gradient) obtained by composing the basic ones, and three top-level ones (Chemotaxis, Morphogenesis, and Quorum sensing) exploiting the mid-level one.