Toward nature-inspired computing

NIC-based systems utilize autonomous entities that self-organize to achieve the goals of systems modeling and problem solving.

[1]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[2]  Huberman,et al.  Strong regularities in world wide web surfing , 1998, Science.

[3]  Jiming Liu Autonomous agents and multi-agent systems : explorations in learning, self-organization and adaptive computation , 2001 .

[4]  Yuan Yan Tang,et al.  Multi-agent oriented constraint satisfaction , 2002, Artif. Intell..

[5]  Yuan Yan Tang,et al.  An evolutionary autonomous agents approach to image feature extraction , 1997, IEEE Trans. Evol. Comput..

[6]  J. Coffin,et al.  HIV population dynamics in vivo: implications for genetic variation, pathogenesis, and therapy , 1995, Science.

[7]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[8]  Xiaolong Jin,et al.  Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations) , 2004 .

[9]  Jiming Liu,et al.  A Massively Multi-agent System for Discovering HIV-Immune Interaction Dynamics , 2004, MMAS.

[10]  Jiming Liu,et al.  ALIFE: A Multiagent Computing Paradigm for Constraint Satisfaction Problems , 2001, Int. J. Pattern Recognit. Artif. Intell..

[11]  Jiming Liu,et al.  Characterizing Web usage regularities with information foraging agents , 2004, IEEE Transactions on Knowledge and Data Engineering.