Multi-agent Cooperative Planning and Information Gathering

2007 ◽  
pp. 72-88
Author(s):  
Fariba Sadri
Keyword(s):  
Information Gathering ◽  
Multi Agent ◽  
Cooperative Planning

AGENT-BASED SYSTEM ARCHITECTURE FOR DYNAMIC AND OPEN ENVIRONMENTS

2003 ◽  
Vol 02 (01) ◽  
pp. 105-133 ◽  
Author(s):  
ELHADI SHAKSHUKI ◽  
HAMADA GHENNIWA ◽  
MAHAMED KAMEL
Keyword(s):  
System Architecture ◽  
Rapid Growth ◽  
Dynamic Environment ◽  
Information Gathering ◽  
Information Resources ◽  
Architecture Design ◽  
Agent Based ◽  
Interface Agents ◽  
Multi Agent ◽  
Computing Environments

The rapid growth of the network-centered (Internet and Intranet) computing environments requires new architectures for information gathering systems. Typically, in these environments, the information resources are dynamic, heterogeneous and distributed. In addition, these computing environments are open, where information resources may be connected or disconnected at any time. This paper presents an architecture for a multi-agent information gathering system. The architecture includes three types of agents: interface, broker and resource agents. The interface agents interact with the users to fulfill their interests and preferences. The resource agents access and capture the content of the information resources. The broker agents facilitate cooperation among the information and the resource agents to achieve their desired goals. This paper provides the agents' architecture, design and implementations that enable them to cooperate, coordinate and communicate with each other to gather information in an open and dynamic environment.

Applying Information Gathering Techniques in Business-to-Consumer and Web Scenarios

2011 ◽  
pp. 91-112
Author(s):  
David Camacho
Keyword(s):  
Computer Science ◽  
Information Gathering ◽  
Business Community ◽  
Multi Agent System ◽  
Important Research ◽  
Agent Based ◽  
Research Fields ◽  
Multi Agent ◽  
Business To Consumer ◽  
The Web

The last decade has shown the e-business community and computer science researchers that there can be serious problems and pitfalls when e-companies are created. One of the problems is related to the necessity for the management of knowledge (data, information, or other electronic resources) from different companies. This chapter will focus on two important research fields that are currently working to solve this problem — Information Gathering (IG) techniques and Web-enabled Agent technologies. IG techniques are related to the problem of retrieval, extraction and integration of data from different (usually heterogeneous) sources into new forms. Agent and Multi-Agent technologies have been successfully applied in domains such as the Web. This chapter will show, using a specific IG Multi-Agent system called MAPWeb, how information gathering techniques have been successfully combined with agent technologies to build new Web agent-based systems. These systems can be migrated into Business-to-

Applying Information Gathering Techniques in Business-to-Consumer and Web Scenarios

2009 ◽  
pp. 781-799
Author(s):  
David Camacho
Keyword(s):  
Semantic Web ◽  
Computer Science ◽  
Information Gathering ◽  
Business Community ◽  
Important Research ◽  
Agent Based ◽  
Research Fields ◽  
Multi Agent ◽  
Business To Consumer ◽  
The Web

The last decade has shown the e-business community and computer science researchers that there can be serious problems and pitfalls when e-companies are created. One of the problems is related to the necessity for the management of knowledge (data, information, or other electronic resources) from different companies. This chapter will focus on two important research fields that are currently working to solve this problem — Information Gathering (IG) techniques and Web-enabled Agent technologies. IG techniques are related to the problem of retrieval, extraction and integration of data from different (usually heterogeneous) sources into new forms. Agent and Multi-Agent technologies have been successfully applied in domains such as the Web. This chapter will show, using a specific IG Multi-Agent system called MAPWeb, how information gathering techniques have been successfully combined with agent technologies to build new Web agent-based systems. These systems can be migrated into Business- to-Consumer (B2C) scenarios using several technologies related to the Semantic Web, such as SOAP, UDDI or Web services.

scholarly journals Reachability and Coverage Planning for Connected Agents

2019 ◽  
Author(s):  
Tristan Charrier ◽  
Arthur Queffelec ◽  
Ocan Sankur ◽  
François Schwarzentruber
Keyword(s):  
Path Planning ◽  
Information Gathering ◽  
Efficient Algorithms ◽  
Topological Graph ◽  
Topological Graphs ◽  
New Class ◽  
Multi Agent ◽  
Coverage Problems ◽  
Planning Problems ◽  
Coverage Planning

Motivated by the increasing appeal of robots in information-gathering missions, we study multi-agent path planning problems in which the agents must remain interconnected. We model an area by a topological graph specifying the movement and the connectivity constraints of the agents. We study the theoretical complexity of the reachability and the coverage problems of a fleet of connected agents on various classes of topological graphs. We establish the complexity of these problems on known classes, and introduce a new class called sight-moveable graphs which admit efficient algorithms.

Exploiting Bias for Cooperative Planning in Multi-Agent Tree Search

2020 ◽  
Vol 5 (2) ◽  
pp. 1819-1826 ◽  
Author(s):  
Aaron Ma ◽  
Michael Ouimet ◽  
Jorge Cortes
Keyword(s):  
Tree Search ◽  
Multi Agent ◽  
Cooperative Planning

scholarly journals Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web

2004 ◽  
Vol 148 (1) ◽  
pp. 61-83 ◽  
Author(s):  
E. Herrera-Viedma ◽  
F. Herrera ◽  
L. Martı́nez ◽  
J.C. Herrera ◽  
A.G. López
Keyword(s):  
Information Gathering ◽  
Agent Model ◽  
Multi Agent ◽  
Fuzzy Linguistic ◽  
The Web ◽  
Filtering Techniques
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