The Vision of Autonomic Computing
Computer
Field-Based Coordination for Pervasive Multiagent Systems (Springer Series on Agent Technology)
Field-Based Coordination for Pervasive Multiagent Systems (Springer Series on Agent Technology)
Case studies for self-organization in computer science
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Immunity-based autonomous guided vehicles control
Applied Soft Computing
Design choices for agent-based control of AGVs in the dough making process
Decision Support Systems
Organic Computing - Addressing Complexity by Controlled Self-Organization
ISOLA '06 Proceedings of the Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation
A field-based versus a protocol-based approach for adaptive task assignment
Autonomous Agents and Multi-Agent Systems
The Meaning of Semiochemicals to the Design of Self-Organizing Systems
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Design Pattern for Self-Organizing Emergent Systems Based on Digital Infochemicals
EASE '09 Proceedings of the 2009 Sixth IEEE Conference and Workshops on Engineering of Autonomic and Autonomous Systems
Improving the Efficiency of Self-Organizing Emergent Systems by an Advisor
EASE '10 Proceedings of the 2010 Seventh IEEE International Conference and Workshops on Engineering of Autonomic and Autonomous Systems
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Due to the absence of global knowledge, elements in a self-organizing emergent system tend to make suboptimal local decisions that result in globally inefficient solutions. However, improving the solutions of such systems, which work in a bottom-up style, by the principles of self-adaptive systems, which work in a top-down style, is not a straight forward process. In this paper, we present challenges and constraints that have to be respected during this process and describe early work on an approach, how to autonomously adapt the local behavior of self-organizing elements by so-called exception rules in order to improve the performance of the global solution. In particular, we present a set of exception rules that can be employed in different situations for the improvement of environment-mediated, self-organizing emergent solutions to pickup and delivery problems.