Can artificial life emerge in a network of interacting agents?
Loading...
Date
Authors
Murthy, V K
Krishnamurthy, E.Vikram
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
An interacting multi- agent system in a network can behave like a nature - inspired Smart System (SS) exhibiting the four salient properties of an Artificial Life System (ALS): (i) Collective, coordinated and efficient (ii) Self -organization and emergence (iii) Power law scaling or scale invariance under emergence (iv) Adaptive, fault tolerant and resilient against damage. We explain how these basic properties can arise among agents through random enabling, inhibiting, preferential attachment and growth of a multiagent system. However,the quantitative understanding of a Smart system with an arbitrary interactive topology is extremely difficult. Hence we cannot design a general purpose programmable Smart system. However, for specific applications and a pre-defined static interactive topology among the agents, the quantitative parameters can be obtatined through simulation to build a specific SS.
Description
Citation
Collections
Source
Proceedings 2006 IEEE International Conference on Fuzzy Systems
Type
Book Title
Entity type
Access Statement
License Rights
Restricted until
2037-12-31
Downloads
File
Description