Abstract
The World Wide Wisdom Web (W4) (or Wisdom Web) and Autonomy Oriented Computing (AOC) were proposed and advocated by Liu et al. and have been recognized, in the fields of WWW, AI, and AAMAS, as promising directions of research in problems that are heavily dominated by large scale, distribution, connectivity, interactivity, and redundancy [1,7,8,2,4].
Chapter PDF
References
Liu, J.: Web Intelligence (WI): What makes Wisdom Web? In: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 2003), Acapulco, Mexico, August 9-15, pp. 1596–1601. Morgan Kaufmann Publishers, San Francisco (2003) (invited talk)
Liu, J.: Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation. World Scientific, Singapore (2001)
Liu, J., Han, J., Tang, Y.Y.: Multi-agent oriented constraint satisfaction. Artificial Intelligence 136(1), 101–144 (2002)
Liu, J., Jin, X., Tsui, K.C.: Autonomy Oriented Computing (AOC): From Problem Solving to Complex Systems Modeling. Springer, Heidelberg (2005a)
Liu, J., Jin, X., Wang, S.: Agent-based load balancing on homogeneous minigrids: Macroscopic modeling and characterization. IEEE Transactions on Parallel and Distributed Systems 16, 6 (2005b)
Liu, J., Zhang, S., Yang, J.: Characterizing Web usage regularities with information foraging agents. IEEE Transactions on Knowledge and Data Engineering 16(5), 566–584 (2004)
Liu, J., Zhong, N., Yao, Y.Y., Ras, Z.W.: The Wisdom Web: New challenges for Web Intelligence (WI). Journal of Intelligent Information Systems 20(1), 1 (2003)
Zhong, N., Liu, J., Yao, Y.Y. (eds.): Web Intelligence. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, J. (2005). World Wide Wisdom Web (W4) and Autonomy Oriented Computing (AOC): What, When, and How? . In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_19
Download citation
DOI: https://doi.org/10.1007/11590316_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
Online ISBN: 978-3-540-32420-1
eBook Packages: Computer ScienceComputer Science (R0)