Abstract
NIC-based systems utilize autonomous entities that self-organize to achieve the goals of systems modeling and problem solving.
- Coffin, J. HIV population dynamics in vivo: Implications for genetic variation, pathogenesis, and therapy. Science 267 (1995), 483--489.Google ScholarCross Ref
- Dorigo, M., Maniezzo, V., and Colorni, A. The Ant System: Optimization by a colony of cooperative agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 26, 1 (1996), 1--13. Google ScholarDigital Library
- Holland, J. Adaptation in Natural and Artificial Systems. MIT Press, Cambridge, MA, 1992. Google ScholarDigital Library
- Huberman, B., Pirolli, P., Pitkow, J., and Lukose, R. Strong regularities in World Wide Web surfing. Science 280 (Apr. 3, 1997), 96--97.Google Scholar
- Liu, J., Jin, X., and Tsui, K. Autonomy-Oriented Computing: From Problem Solving to Complex Systems Modeling. Kluwer Academic Publishers/Springer, Boston, 2005. Google ScholarDigital Library
- Liu, J., Zhang, S., and Yang, J. Characterizing Web usage regularities with information foraging agents. IEEE Transactions on Knowledge and Data Engineering 16, 5 (2004), 566--584. Google ScholarDigital Library
- Liu, J., Han, J., and Tang, Y. Multi-agent-oriented constraint satisfaction. Artificial Intelligence 136, 1 (2002), 101--144. Google ScholarDigital Library
- Liu, J. Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation. World Scientific Publishing, Singapore, 2001. Google ScholarDigital Library
- Liu, J. and Han, J. ALife: A multi-agent computing paradigm for constraint satisfaction problems. International Journal of Pattern Recognition and Artificial Intelligence 15, 3 (2001), 475--491.Google ScholarCross Ref
- Liu, J., Tang, Y., and Cao, Y. An evolutionary autonomous agents approach to image feature extraction. IEEE Transactions on Evolutionary Computation 1, 2 (1997), 141--158. Google ScholarDigital Library
- Schwefel, H.-P. Numerical Optimization of Computer Models. John Wiley & Sons, Inc., New York, 1981. Google ScholarDigital Library
- Zhang, S. and Liu, J. A massively multi-agent system for discovering HIV-immune interaction dynamics. In Proceedings of the First International Workshop on Massively Multi-Agent Systems (Kyoto, Japan, Dec. 10--11). Springer, Berlin, 2004. Google ScholarDigital Library
Index Terms
- Toward nature-inspired computing
Recommendations
Energy-efficient Nature-Inspired techniques in Cloud computing datacenters
Cloud computing is a systematic delivery of computing resources as services to the consumers via the Internet. Infrastructure as a Service (IaaS) is the capability provided to the consumer by enabling smarter access to the processing, storage, networks, ...
A Survey on Using Nature Inspired Computing for Fatal Disease Diagnosis
Genetic Algorithms GA, Ant Colony Optimization ACO, Particle Swarm Optimization PSO and Artificial Bee Colonies ABC are some vital nature inspired computing NIC techniques. These approaches have been used in early prophecy of various diseases. This ...
Context-Aware Computing and Nature-Inspired Computing: ICCASA and ICTCC 2020
AbstractThe part of this special issue with the title of “Context-aware Computing and Nature-inspired Computing: ICCASA and ICTCC 2020” edited by Prof. Phan Cong Vinh is presented to scientists, researchers, experts and students in the fields of context-...
Comments