scholarly journals Modeling Dynamics of Relative Trust of Competitive Information Agents

2008 ◽  
pp. 55-70 ◽  
Author(s):  
Mark Hoogendoorn ◽  
S. Waqar Jaffry ◽  
Jan Treur
Keyword(s):  
Information Agents

A Plan Based Approach to Information Agents.

1997 ◽  
Author(s):  
Kristian J. Hammond ◽  
Robin D. Burke
Keyword(s):  
Information Agents

Mobile Information Agents

2001 ◽  
Author(s):  
Daniela Rus
Keyword(s):  
Information Agents ◽  
Mobile Information

COORDINATION OF MULTIPLE INTELLIGENT SOFTWARE AGENTS

1996 ◽  
Vol 05 (02n03) ◽  
pp. 181-211 ◽  
Author(s):  
KATIA SYCARA ◽  
DAJUN ZENG
Keyword(s):  
System Architecture ◽  
Information Needs ◽  
Software Agents ◽  
User Preferences ◽  
Organizational Decision Making ◽  
Interface Agents ◽  
Intelligent Software ◽  
Information Agents ◽  
Agent Collaboration ◽  
Guide System

We are investigating techniques for developing distributed and adaptive collections of information agents that coordinate to retrieve, filter and fuse information relevant to the user, task and situation, as well as anticipate user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for structuring agents. The system architecture has three types of agents: Interface agents interact with the user receiving user specifications and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We have implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making, investment counseling, health care and electronic commerce.

Agents in bioinformatics

2005 ◽  
Vol 20 (2) ◽  
pp. 117-125 ◽  
Author(s):  
MICHAEL LUCK ◽  
EMANUELA MERELLI
Keyword(s):  
Data Analysis ◽  
Simulation Models ◽  
Biological Data ◽  
System Modelling ◽  
Agent Based Simulation ◽  
Huge Amount ◽  
Agent Based ◽  
Information Agents ◽  
New Knowledge ◽  
Definition Of

The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarize and reflect on the presentations and discussions.

COOPERATIVE INFORMATION AGENTS FOR DIGITAL CITIES

2001 ◽  
Vol 10 (01n02) ◽  
pp. 197-215 ◽  
Author(s):  
SATOSHI OYAMA ◽  
KAORU HIRAMATSU ◽  
TORU ISHIDA
Keyword(s):  
Social Interaction ◽  
Relevant Information ◽  
Urban Life ◽  
The Internet ◽  
Digital City ◽  
Social Agents ◽  
Research Guidelines ◽  
Front End ◽  
Information Agents ◽  
The City

A digital city is a social information infrastructure for urban life (including shopping, business, transportation, education, welfare and so on). We started a project to develop a digital city for Kyoto based on the newest technologies including cooperative information agents. This paper presents an architecture for digital cities and shows the roles of agent interfaces in it. We propose two types of cooperative information agents as follows: (a) the front-end agents determine and refine users' uncertain goals, (b) the back-end agents extract and organize relevant information from the Internet, (c) Both types of agents opportunistically cooperate through a blackboard. We also show the research guidelines towards social agents in digital cities; the agent will foster social interaction among people who are living in/visiting the city.

scholarly journals Social Abstractions for Information Agents

1999 ◽  
pp. 37-52 ◽  
Author(s):  
Munindar P. Singh ◽  
Michael N. Huhns
Keyword(s):  
Information Agents

Multiagent Systems in the Web

2011 ◽  
pp. 2734-2740
Author(s):  
Hércules Antonio do Prado ◽  
Aluizio Haendchen Filho ◽  
Míriam Sayão ◽  
Edilson Ferneda
Keyword(s):  
Information Systems ◽  
Multiagent Systems ◽  
Business Processes ◽  
Distributed Database ◽  
Information Resources ◽  
Full Potential ◽  
Information Agents ◽  
Extensible Markup ◽  
Intelligent Information ◽  
The Web

The rapid evolution of Internet has opened a new era in the distributed systems scenery: the bigger part of the information systems currently developed is focused in Web applications. Typically, the information resources in Web systems are dynamic, distributed, and heterogeneous. Since these computing environments are opened, information resources can be connected or disconnected at any time. This ubiquity of Web and its distributed and interconnected characteristics represent a natural field for multiagent systems (MAS), spreading this kind of application. Software agents can dynamically discover, orchestrate, and compose services, check activities, run business processes, and integrate heterogeneous applications. Most of the large organizations adopt heterogeneous and complex information systems. These systems must coordinate their applications in order to provide efficient support to business processes and consistent information management. Unfortunately, the operational software underlying these systems usually does not handle multitask distributed heterogeneous applications. Currently, enterprises are strongly interested in the strategic advantages of adopting distributed infrastructures that are designed to be dynamic, flexible, adaptable, and interoperable. In this context, the demand for agent-based applications has increased, opening new types of applications that include e-commerce, Web services, knowledge management, semantic Web, and information systems in general. Interesting solutions to B2B (business to business), e-business, and also applications that require interoperability based on knowledge about applications and business processes, will definitely benefit from the MAS technology. Also, intelligent information agents are regarded as one of the most promising areas for applying agents’ technology. Intelligent information agents act in fields like collaborative systems on Internet, knowledge discovery from heterogeneous sources, systems for intelligent management of information, and so on. The Web can also be seen as a big distributed database having XML (extensible markup language) and its extensions or modifications as an underlying data model. In this context, the MAS development has received support from new tools in order to make it easier for the developer to cope with specific requirements for Web architectures. It is accepted that these improvements in the technology, mainly by the new tools that are becoming available, will lead MAS technology to be explored in its full potential. So, we can state that the application domain of MAS is going to be strongly enlarged, defining a turning point in the systems development activity. In this chapter, we provide an overview on MAS technology, discuss how this technology is impacting the Web context, and provide a sound description of the concepts that are relevant to the application developers and target users.

Location Awareness of Information Agents

2005 ◽  
pp. 199-208 ◽  
Author(s):  
Merik Meriste ◽  
Jüri Helekivi ◽  
Tõnis Kelder ◽  
Andres Marandi ◽  
Leo Mõtus ◽  
...  
Keyword(s):  
Location Awareness ◽  
Information Agents
Sign in / Sign up

Export Citation Format

Share Document