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

Slides:



Advertisements
Similar presentations
Computer Supported Cooperative Work by an Agent Oriented Software Engineering Approach: CSCW by AOSE Darlinton Carvalho
Advertisements

Some questions o What are the appropriate control philosophies for Complex Manufacturing systems? Why????Holonic Manufacturing system o Is Object -Oriented.
Different methods and Conclusions Liqin Zhang. Different methods Basic models Reputation models in peer-to-peer networks Reputation models in social networks.
Crowd Simulation Sai-Keung Wong. Crowd Simulation A process of simulating the movement of a large number of entities or characters. While simulating these.
Energy Aware Self Organized Communication in Complex Networks Jakob Salzmann, Dirk Timmermann SPP 1183 Third Colloquium Organic Computing, ,
AOC-Based Efficient Waiting Time Management in Hospital Department of Computer Science Hong Kong Baptist University Student : Li Tao Principal Supervisor.
Presentation Topic : Modeling Human Vaccinating Behaviors On a Disease Diffusion Network PhD Student : Shang XIA Supervisor : Prof. Jiming LIU Department.
Introduction and Overview “the grid” – a proposed distributed computing infrastructure for advanced science and engineering. Purpose: grid concept is motivated.
Industrial Ontologies Group Oleksiy Khriyenko, Vagan Terziyan INDIN´04: 24th – 26th June, 2004, Berlin, Germany OntoSmartResource: An Industrial Resource.
Supporting Social Interaction in an “Intelligent” Competence Development System Bertrand Sereno, Eleni Boursinou & Albert Angehrn Centre for Advanced Learning.
Intelligence without Reason
June 11-13, 2003Michael Weiss, FIW 031 Feature Interactions in Web Services Michael Weiss Carleton University.
A Multi-Agent System for Visualization Simulated User Behaviour B. de Vries, J. Dijkstra.
Chapter 2 1 SIMD-MIMD Real-Time Comparisons (Chapter 7) References: –Stankovic, Spuri, Ramamritham, Buttazzo, “Deadline Scheduling for Real-Time Systems”,
A.M. Florea, Cognitive systems, COST Action IC0801 – WG1, 15 December, Ayia Napa, Cyprus.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
Towards A Multi-Agent System for Network Decision Analysis Jan Dijkstra.
Community Manager A Dynamic Collaboration Solution on Heterogeneous Environment Hyeonsook Kim  2006 CUS. All rights reserved.
Parallelization: Conway’s Game of Life. Cellular automata: Important for science Biology – Mapping brain tumor growth Ecology – Interactions of species.
Strengthening the Strategic Cooperation between the EU and Western Balkan Region in the field of ICT Research Regional ICT R&D priorities, Jelena Pantelic,
Social Networking and On-Line Communities: Classification and Research Trends Maria Ioannidou, Eugenia Raptotasiou, Ioannis Anagnostopoulos.
1 Outline General Description Breakthroughs and Major Achievements Categorized Summary A Summary of the Post-Project Plan International Cooperation Activities.
University of Zagreb MMVE 2012 workshop1 Towards Reinterpretation of Interaction Complexity for Load Prediction in Cloud-based MMORPGs Mirko Sužnjević,
The Role of Artificial Life, Cellular Automata and Emergence in the study of Artificial Intelligence Ognen Spiroski CITY Liberal Studies 2005.
revised CmpE 583 Fall 2006Discussion: OWL- 1 CmpE 583- Web Semantics: Theory and Practice DISCUSSION: OWL Atilla ELÇİ Computer Engineering.
Agent-Oriented Software Engineering CSC532 Xiaomei Huang.
© Yilmaz “Agent-Directed Simulation – Course Outline” 1 Course Outline Dr. Levent Yilmaz M&SNet: Auburn M&S Laboratory Computer Science &
Lecture 9: Chapter 9 Architectural Design
NGO Information Development Workshop May 21 st.
CPSC 871 John D. McGregor Module 6 Session 3 System of Systems.
FRE 2672 TFG Self-Organization - 01/07/2004 Engineering Self-Organization in MAS Complex adaptive systems using situated MAS Salima Hassas LIRIS-CNRS Lyon.
Web Mining: Phrase-based Document Indexing and Document Clustering Khaled Hammouda, Ph.D. Candidate Mohamed Kamel, Supervisor, PI PAMI Research Group University.
NAVEEN AGENT BASED SOFTWARE DEVELOPMENT. WHAT IS AN AGENT? A computer system capable of flexible, autonomous (problem-solving) action, situated in dynamic,
P2P Interaction in Socially Intelligent ICT David Hales Delft University of Technology (Currently visiting University of Szeged, Hungary)
College of Engineering Robert Akl, D.Sc. Department of Computer Science and Engineering.
Introduction to Self-Organization
Examining Dynamic Trust Relationships in Autonomy-Oriented Partner Finding Department of Computer Science, HKBU, HK International WIC Institute, BJUT,
A Context Model based on Ontological Languages: a Proposal for Information Visualization School of Informatics Castilla-La Mancha University Ramón Hervás.
Artificial intelligence methods in the CO 2 permission market simulation Jarosław Stańczak *, Piotr Pałka **, Zbigniew Nahorski * * Systems Research Institute,
Christoph F. Eick University of Houston Organization 1. What are Ontologies? 2. What are they good for? 3. Ontologies and.
Agent Based Modeling (ABM) in Complex Systems George Kampis ETSU, 2007 Spring Semester.
Bio-Networking: Biology Inspired Approach for Development of Adaptive Network Applications 21 May 2005Ognen Paunovski Bio-Networking: Biology Inspired.
Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.
1 Centre for Intelligent Systems and their Applications Division of Informatics, University of Edinburgh Draft for AKT July Workshop Jessica Chen-Burger.
Measuring Behavioral Trust in Social Networks
Data and Applications Security Developments and Directions Dr. Bhavani Thuraisingham The University of Texas at Dallas Security for Distributed Data Management.
Time-Space Trust in Networks Shunan Ma, Jingsha He and Yuqiang Zhang 1 College of Computer Science and Technology 2 School of Software Engineering.
Self-Organizing Architectures SOAR 2010 International Conference on Autonomic Computing and Communication, ICAC Washington DC, USA June 7, 2010.
An Adaptive Load Balancing Management for Distributed Virtual Environment Systems Yuanxing Yao 1, Tae-Hyung Kim 1, 1 Department of Computer Science and.
NCP Info DAY, Brussels, 23 June 2010 NCP Information Day: ICT WP Call 7 - Objective 1.3 Internet-connected Objects Alain Jaume, Deputy Head of Unit.
Current research in Intelligence Agents Victor Govindaswamy.
An Architecture-Centric Approach for Software Engineering with Situated Multiagent Systems PhD Defense Danny Weyns Katholieke Universiteit Leuven October.
Complex Systems Engineering SwE 488 Artificial Complex Systems Prof. Dr. Mohamed Batouche Department of Software Engineering CCIS – King Saud University.
Building PetaScale Applications and Tools on the TeraGrid Workshop December 11-12, 2007 Scott Lathrop and Sergiu Sanielevici.
The Biologically Inspired Distributed File System: An Emergent Thinker Instantiation Presented by Dr. Ying Lu.
On Routine Evolution of Complex Cellular Automata
Presented by: Saurav Kumar Bengani
Sistemi per la Gestione Aziendale.
Rationality and Power: the “gap in the middle” in ICT
An Adaptive Load Balancing Management for
Bioagents and Biorobots David Kadleček, Michal Petrus, Pavel Nahodil
يك مدل اعتماد توزيع‍شده براي محيطهاي محاسبات فراگير
Model-Driven Analysis Frameworks for Embedded Systems
The 11th Postgraduate Research Symposium
Data and Applications Security Developments and Directions
Reading - How to read Fausto Giunchiglia Literature:
Data and Applications Security Developments and Directions
Speaker: Ao Weng Chon Advisor: Kwang-Cheng Chen
Data and Applications Security Developments and Directions
Presentation transcript:

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) Question: How to satisfy all constraints? Node and resourcesVariable and its domain ConstraintsClauses Nodes involved in a constraintLiterals in a clause Resource schedulingSatisfiability (SAT) CNF: Centralized methods cannot be applied!

 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) WI Problem #2

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

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

What’s AOC? AOC: A new computing paradigm based on computational `entities’ based on the following principles (operations): 1.Competition & Cooperation 2.Self-Aggregation 3.Diffusion & Reproduction 4.Interaction

Essential AOC

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 –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 3 rd International Atlantic Web Intelligence Conference (AWIC’05), Lodz,Poland, June 2005, pp –Liu, J., “World Wide Wisdom Web (W4) and Autonomy Oriented Computing (AOC): Challenges and Opportunities,” Shanghai Forum’05, Shanghai, May –Liu, J., “Autonomy Oriented Computing (AOC) with MMAS: From Problem Solving to Complex Systems Modeling”, 1 st International Workshop on Massively Multi-Agent Systems (MMAS’04), Kyoto, Japan, December 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, –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 1 st International Workshop (MMAS’04), Kyoto, Japan, December 2004, pp