Title :
The Concept of Autonomy in Distributed Computation and Multi-agent Systems
Author :
Nowostawski, Mariusz ; Purvis, Martin
Author_Institution :
Univ. of Otago, Dunedin
Abstract :
The concept of autonomy is a central concept in distributed computational systems and in multi-agent systems in particular. Most researchers do not discuss the details of this concept, but rather assume a general, common-sense understanding of autonomy in the context of computational multi-agent systems. We review existing definitions and formalisms related to the notion of autonomy. We re-introduce two concepts: relative autonomy and absolute autonomy. We adopt and discuss a new formalism based on results from the study of massively parallel multi-agent systems in the context of evolvable virtual machines. We argue that for open distributed systems, entities must be connected by multiple computational dependencies and a system as a whole must be subjected to influence from external sources. However, the exact linkages are not directly known to the computational entities themselves. This provides a useful notion and the necessary means to establish a relative autonomy in such systems.
Keywords :
distributed processing; multi-agent systems; virtual machines; absolute autonomy; distributed computational system; multiagent system; parallel system; relative autonomy; virtual machine; Autonomous agents; Collaborative work; Computational complexity; Couplings; Distributed computing; Information science; Intelligent agent; Multiagent systems; Software agents; Virtual machining;
Conference_Titel :
Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3027-7
DOI :
10.1109/IAT.2007.23