'Agent system' diaporamas de présentation

LECTURE 10: Methodologies

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Semantic Web

Semantic Web. Dushyant Rajput (05005003) Neelmani Singh (05005019) Pratik Jawanpuria (05005022) Jayant Nagda (05D05001) Nirdesh Chauhan (05D05002). Motivation. Problem: Web was built for humans

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Pedagogical Agent Design for Distributed Collaborative Learning

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swarms

Analytic Synchronization A concept for understanding emergent behaviors in asynchronous multi-agent systems. A. S. Morse Yale University. Napa Valley August 2, 2005. www.swarms.org. Research Objectives. To study multi-agent motion control problems with the objective of better

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Multi-Agent Systemen Architecturen

Multi-Agent Systemen Architecturen. Reactive versus Hybrid agents. Reactive : no plans, thinking, memory. Only reaction; Hybrid : There are reactive and other types of control layers. Other layers may be planning, reasoning, belief, learning.

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Learning Agents

Learning Agents. Presented by: Huayan Gao ( huayan.gao@uconn.edu ), Thibaut Jahan ( thj@ifrance.com ), David Keil ( dmkeil@att.net ), Jian Lian ( lianjian@yahoo.com ). Students in CSE 333 Distributed Component Systems Prof. Steven A. Demurjian, Sr.

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Agent-Based Joint Theater Logistics Management

Agent-Based Joint Theater Logistics Management. Dr. Thomas E. Potok Collaborative Technologies Research Center Computer Science and Mathematics Division Oak Ridge National Laboratory Lockheed Martin Energy Research. Collaborative Technologies Research Center (CTRC).

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Agent-Based Joint Theater Logistics Management

Agent-Based Joint Theater Logistics Management. Dr. Thomas E. Potok Collaborative Technologies Research Center Computer Science and Mathematics Division Oak Ridge National Laboratory Lockheed Martin Energy Research. Collaborative Technologies Research Center (CTRC).

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Agent-Based Joint Theater Logistics Management

Agent-Based Joint Theater Logistics Management. Dr. Thomas E. Potok Collaborative Technologies Research Center Computer Science and Mathematics Division Oak Ridge National Laboratory Lockheed Martin Energy Research. Collaborative Technologies Research Center (CTRC).

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BioMAS: A Multi-Agent System for Automated Genomic Annotation

BioMAS: A Multi-Agent System for Automated Genomic Annotation. Keith Decker Department of Computer and Information Sciences University of Delaware. Salim Khan, Ravi Makkena, Gang Situ Computer & Information Sciences. Dr. Carl Schmidt, Heebal Kim Animal & Food Sciences. Outline.

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Checking Properties of Multi-Agent Systems Behavior

Checking Properties of Multi-Agent Systems Behavior. Michael Dekhtyar (Tver State University, Russia) Alexander Dikovsky (University of Nantes, France) Mars Valiev (Keldysh Inst. of Appl. Mathematics, Moscow, Russia). Outline. Informal Example

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Formal Modelling of Reactive Agents as an aggregation of Simple Behaviours

Formal Modelling of Reactive Agents as an aggregation of Simple Behaviours. P.Kefalas. Dept. of Computer Science 13 Tsimiski Str. 546 24 Thessaloniki Greece kefalas@city.academic.gr. TOPICS OF PRESENTATION. Introduction to Formal Modelling. Motivation. Modelling Component X-Machines.

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RoboCup-Rescue Disaster Simulator Architecture

RoboCup-Rescue Disaster Simulator Architecture. Tomoichi Takahashi (Chubu University, Japan) Ikuo Takeuchi Tetsuhiko Koto (Univ. of Electro Communication, Japan) Satoshi Tadokoro (Kobe University, Japan)

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GSAF: A Grid-based Services Transfer F ramework

GSAF: A Grid-based Services Transfer F ramework. Chunyan Miao, Wang Wei, Zhiqi Shen, Tan Tin Wee. Motivation. Grid provides an integrated computing environment, f acilitating maintenance and control of information and other kinds of resources e.g. services. However,

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A deployed multi agent system for meteorological alerts

A deployed multi agent system for meteorological alerts. Sandy Dance and Malcolm Gorman Bureau of Meteorology {s.dance,m.gorman}@bom.gov.au Lin Padgham and Michael Winikoff RMIT University {linpa,winikoff}@cs.rmit.edu.au. Introduction. Bureau of Meteorology, Aviation Need for alerts

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A Fast Data Protection Technique for Mobile Agents to Avoid Attacks in Malicious Hosts

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COMPSCI 725 Presentation

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MASIPE

MASIPE. Mobile Agent Systems Integration into Parallel Environments. How does it work?. user@c200:~/masipe/bin/naming-service$ ./naming-service.sh [naming-service.sh][tnameserv][Running 'Corba naming' service in 'Mobile agent system integration into parallel environment' system ...]

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Strawman Agent Reference Architecture (DARPA ISO coABS Program - Draft 11-30-98) Craig Thompson

Strawman Agent Reference Architecture (DARPA ISO coABS Program - Draft 11-30-98) Craig Thompson Object Services and Consulting, Inc. (OBJS) thompson@objs.com, http://www.objs.com. Agent Reference Architecture Requirements. Target operational requirements:

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