TY - CHAP
T1 - Simulating complex dynamical systems in a distributed programming environment
AU - Krishnamurthy, E. V.
AU - Krishnamurthy, Vikram
PY - 2004
Y1 - 2004
N2 - This paper describes a rule-based generic programming and simulation paradigm, for conventional hard computing and soft and innovative computing e.g., dynamical, genetic, nature inspired self-organized criticality and swarm intelligence. The computations are interpreted as the outcome arising out of deterministic, non-deterministic or stochastic interaction among elements in a multiset object space that includes the environment. These interactions are like chemical reactions and the evolution of the multiset can mimic the evolution of the complex system. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competitively among the subsets of elements. This paradigm permits carrying out parts or all of the computations independently in a distributed manner on distinct processors and is eminently suitable for cluster and grid computing.
AB - This paper describes a rule-based generic programming and simulation paradigm, for conventional hard computing and soft and innovative computing e.g., dynamical, genetic, nature inspired self-organized criticality and swarm intelligence. The computations are interpreted as the outcome arising out of deterministic, non-deterministic or stochastic interaction among elements in a multiset object space that includes the environment. These interactions are like chemical reactions and the evolution of the multiset can mimic the evolution of the complex system. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competitively among the subsets of elements. This paradigm permits carrying out parts or all of the computations independently in a distributed manner on distinct processors and is eminently suitable for cluster and grid computing.
UR - http://www.scopus.com/inward/record.url?scp=35048828979&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30141-7_40
DO - 10.1007/978-3-540-30141-7_40
M3 - Chapter
SN - 3540233881
SN - 9783540233886
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 272
EP - 279
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Jin, Hai
A2 - Chen, Hao
A2 - Gao, Guang R.
A2 - Xu, Zhiwei
PB - Springer Verlag
ER -