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WI/AOC Related Work (supported by RGC/CA)

WI/AOC Related Work (supported by RGC/CA). Jiming Liu, HKBU Aug 27, 2005. WI Problem #1. Given: Different owners set different policies and constraints (e.g., resources A and B will not be used at the same time) Policies and constraints are NOT openly published (i.e, not centralized)

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WI/AOC Related Work (supported by RGC/CA)

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  1. WI/AOC Related Work (supported by RGC/CA) Jiming Liu, HKBU Aug 27, 2005

  2. WI Problem #1 Given: • Different owners set different policies and constraints (e.g., resources A and B will not be used at the same time) • Policies and constraints are NOT openly published (i.e, not centralized) Question: • How to satisfy all constraints? Centralized methods cannot be applied! CNF:

  3. WI Problem #2 • Dynamics of Social Networks: user groups, or communities of common expertise or practice • Design of Social Interaction: a self-organizing pattern of information exchange or experience sharing Classic example: Self-Organization in Game of Life (Conway, 1970) • `Life’ rules are applied to an initial population of live cells (i.e., black cells)

  4. Research Issues 1. Goal-directed Services 7. Semantics (relationships) 5. Coordination (global behavior) 6. Meta-knowledge (planning control) 4. PSML (representation) 8. Association (roles) 3. Social & psychological context (sensitivity) (best means/ends) 2. Personalization (identity) 10. Self-aggregation (feedback) 9. Reproduction (population)

  5. Why AOC? Adaptive computation To exhibit the properties of an autonomous system Collective intelligence Synthetic life forms Autonomy Oriented Computing (AOC) Self-organized criticality To unveil autonomous mechanisms underlying a complex system Evolutionary systems Complex and chaotic systems

  6. What’s AOC? • AOC: A new computing paradigm based on computational `entities’ based on the following principles (operations): • Competition & Cooperation • Self-Aggregation • Diffusion & Reproduction • Interaction

  7. Essential AOC

  8. WI/AOC Related Work (acknowledging RGC/CA) • Book: • Liu, J., Jin, X., and Tsui, K.C., Autonomy Oriented Computing (AOC): From Problem Solving to Complex Systems Modeling, Springer, 2005 (Monograph) • Refereed Journal/Magazine Articles: • Liu, J., Jin, X., and Wang, Y., “Agent-based load balancing on homogeneous minigrids: Macroscopic modeling and characterization, in IEEE Transactions on Parallel and Distributed Systems, Vol. 16, No. 7, July 2005, pp. 586-598. • Liu, J. and Tsui, K.C., “Towards nature inspired computing,” in Communications of ACM (accepted). • Invited Talks: • Liu, J., “The Wisdom Web – A Grand Intellectual Undertaking”, in Piotr S. Szczepaniak, Janusz Kacprzyk, and Adam Niewiadomski (Eds.), Advances in Web Intelligence: Proceedings of the 3rd International Atlantic Web Intelligence Conference (AWIC’05), Lodz,Poland, June 2005, pp.7-10. • Liu, J., “World Wide Wisdom Web (W4) and Autonomy Oriented Computing (AOC): Challenges and Opportunities,” Shanghai Forum’05, Shanghai, May 2005. • Liu, J., “Autonomy Oriented Computing (AOC) with MMAS:  From Problem Solving to Complex Systems Modeling”, 1st International Workshop on Massively Multi-Agent Systems (MMAS’04), Kyoto, Japan, December 2004. • Refereed International Conference Papers: • Zhang, S. and Liu, J., “Modeling and simulating the dynamics of service agent networks,” in Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI’05), Compiegne University of Technology, France, September 19-22, 2005. • Zhang, S. and Liu, J., “A massively multi-agent system for discovering HIV-immune interaction dynamics,” in Toru Ishida, Les Gasser, and Hideyuki Nakashima (Eds.), Massively Multi-Agent Systems I: Proceedings of the 1st International Workshop (MMAS’04), Kyoto, Japan, December 2004, pp.161-173.

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