TY - GEN
T1 - Can artificial life emerge in a network of interacting agents?
AU - Murthy, V. K.
AU - Krishnamurthy, E. V.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34250763078&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2006.1681702
DO - 10.1109/FUZZY.2006.1681702
M3 - Conference contribution
SN - 0780394887
SN - 9780780394889
T3 - IEEE International Conference on Fuzzy Systems
SP - 106
EP - 113
BT - 2006 IEEE International Conference on Fuzzy Systems
T2 - 2006 IEEE International Conference on Fuzzy Systems
Y2 - 16 July 2006 through 21 July 2006
ER -