Distributed agent paradigm for soft and hard computation
This paper describes a multiagent-based simulation paradigm, for hybrid (soft and hard) simulation of complex dynamical systems. The computations are interpreted as the outcome arising out of deterministic, nondeterministic or stochastic interaction among the agents, which includes the environment. These interactions are like chemical reactions and the evolution of the multiset of agents can mimic the evolution of the complex system, e.g. genetic, nature inspired self-organized criticality and...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Network and Computer Applications|
|01_Krishnamurthy_Distributed_agent_paradigm_for_2006.pdf||293.26 kB||Adobe PDF||Request a copy|
|02_Krishnamurthy_Distributed_agent_paradigm_for_2006.pdf||359.76 kB||Adobe PDF||Request a copy|
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