Name
Abstract | ||
|---|---|---|
In a complex dynamic system the centralised control and local monitoring of system behaviour is not achievable by scaling up simple feedback adaptation and control models. This paper proposes using a variety of concepts from distributed artificial intelligence (DAI) to logically model an abstract system control using adaptable agent federations to induce self-organisation in a swarm type system. The knowledge acquisition and updates are handled through a modal logic of belief for team dynamics and the system as a whole evolves to learn from local failures that have minimal impact on the global system. Self-governance emerges from innate (given) action thresholds that are adapted dynamically to system demands. In this way it is shown that such a system conforms to the prerequisites that have been specified as necessary for a system to exhibit self-organisation and the intrinsic benefits of agent teamwork are established for a robust, reliable and agile system. The approach is illustrated by looking at team formation in a swarm scenario from a proposed NASA project. The Situation Calculus is used to formalise the dynamic nature of such systems with a dynamic logic implementation to reason about the ensuing programs. Subsequently the model is encoded using the Neptune scripting language and compiled to an object-oriented system for its deployment on distributed systems architecture. |
Year | Venue | Keywords |
|---|---|---|
2005 | SOAS | complex self-organising systems,system behaviour,abstract system control,centralised control,system demand,object-oriented system,logical treatment,global system,swarm type system,complex dynamic system,control model,agile system |
Field | DocType | Volume |
Software deployment,Situation calculus,Swarm behaviour,Artificial intelligence,Modal logic,Dynamic logic (digital electronics),Engineering,Control system,Knowledge acquisition,Scripting language,Distributed computing | Conference | 135 |
ISSN | ISBN | Citations |
0922-6389 | 1-58603-577-0 | 1 |
PageRank | References | Authors |
0.36 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Randles | 1 | 66 | 8.91 |
| Azzelarabe Taleb-Bendiab | 2 | 28 | 3.20 |
| Philip Miseldine | 3 | 122 | 7.56 |