Towards a Formal Semantics of Event-Based Multi-agent Simulations

2009 ◽  
pp. 110-126 ◽  
Author(s):  
Jean-Pierre Müller
Keyword(s):  
Formal Semantics ◽  
Multi Agent ◽  
Event Based

AN AGENT-ORIENTED APPROACH FOR IMAGE CLASSIFICATION WITH ICA-COLOR SIFT

2012 ◽  
Vol 21 (02) ◽  
pp. 1240003
Author(s):  
MOHAMMAD KHAZAB ◽  
DAN-NI AI ◽  
JEFFREY TWEEDALE ◽  
YEN-WEI CHEN ◽  
LAKHMI JAIN
Keyword(s):  
Image Processing ◽  
Image Classification ◽  
Classification Task ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Flexible Framework ◽  
Event Based ◽  
Oriented Approach

This paper discusses the research conducted on developing a Multi-Agent System (MAS) for solving an image classification task. The aim of this research is to equip agents in MAS with reusable autonomous capabilities. The system provides a flexible framework for developing the communication aspects within an agent-oriented architecture to program agents that dynamically acquire functionality at runtime using event based messaging. In this research agents are equipped with unique image processing capabilities and required to interact and cooperate to achieve the goal. Complementary research on a variety of agent tools (specifically JACK, JADE and CIAgent) and communication languages (ACL, KQML, FIPA and SOAP) has been reviewed to glean knowledge that enables these agents to adapt those capabilities. The system has generated encouraging results.

Event-Based Consensus for a Class of Nonlinear Multi-Agent Systems With Sequentially Connected Topology

2018 ◽  
Vol 65 (10) ◽  
pp. 3506-3518 ◽  
Author(s):  
Ying Cui ◽  
Yurong Liu ◽  
Wenbing Zhang ◽  
Fuad E. Alsaadi
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Event Based

Collaborative Response Model on Business Event of Multi-Core Enterprise Cluster for SaaS Platform

2013 ◽  
Vol 5 (4) ◽  
pp. 1-15
Author(s):  
Wang Shuying ◽  
Cao Shuai ◽  
Yufang Sun
Keyword(s):  
Response Model ◽  
Enterprise Cluster ◽  
Enterprise Clusters ◽  
Multi Agent ◽  
Business Functions ◽  
Core Enterprise ◽  
Business Collaboration ◽  
Collaboration Process ◽  
Event Based ◽  
Collaborative Diagnosis

To achieve the needs of business collaboration between business-related multi-core enterprise clusters based on Software as a Service (SaaS) platform, a multi-core management mechanism based on single-core collaboration relationship and business-related multi-core collaboration relationships were erected for the modern industrial system. On base of implicit authority of business functions, a collaborative response model on business event of multi-core enterprise cluster for SaaS platform was established, and an event-based business collaboration process and its algorithms for multi-core enterprise cluster were presented. The model and algorithms had been used in quality problems of auto warranty which needs multi-agent collaborative diagnosis. Business-related agents include after-sales provider, OEM, the assembly parts supplier and the culprit supplier could collaborative diagnosis on base of the SaaS platform.

Event-based discrete-time multi-agent consensus over signed digraphs with communication delays

2019 ◽  
Vol 356 (18) ◽  
pp. 11668-11689 ◽  
Author(s):  
Lulu Li ◽  
Jianquan Lu ◽  
Daniel W.C. Ho
Keyword(s):  
Discrete Time ◽  
Communication Delays ◽  
Multi Agent ◽  
Event Based ◽  
Signed Digraphs
Sign in / Sign up

Export Citation Format

Share Document