Toward nature-inspired computing

Nature-inspired computing (NIC)based system can be used for characterization of complex real-world systems and for reproducing autonomous behavior in solving computing problems. The NIC is basically works with a population of autonomous entities consisting of set of detectors, set of effectors, and a repository of local behavior rules. Detectors receive information related to its neighbors and to the environment, while effectors analyze the expressive actions of real-time systems and their environment. NIC uses repository of local behavior rules of real-world systems to meet continuously changing environmental conditions to model the real-world systems. NIC uses macroscopic or microscopic view of a working system in its physical or natural world and use black box approach (such as Markov models, and artificial neural networks ) and white box approaches (such as agents with bounded rationality) to reproduce autonomous behaviors of real-world systems.