Gunjan Samtani · PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO. eBooks · 2002
AbstractThe following sections are included:Software Agents Enabling the Formation of Virtual OrganizationsWhat are Intelligent Software AgentsWhat are Agent Systems?Agent ClassificationAgents and AutonomyMulti-Agent EnvironmentThe 3 Cs of prime importanceAdvantages of a multi-agent environmentDisadvantages of a multi-agent environmentAgents and NegotiationTypes of negotiation strategiesNot revealing negotiation strategy paramountAgents and MobilityBenefits of using mobile agentsPotential risks involved in use of mobile agentsAgents' Role in B2B E-commerce and B2BiInformation gathering and filteringUncovering quality sales prospectsValue chain integrationOptimization of business processes in light of B2BiEfficient e-marketplacesMaintaining customer relationshipsEffective e-procurementIntegration with legacy systemsEnable privacy in B2B transactionsNeed for a Universal LanguageXNS: A dictionary and address book for web agentsConclusion
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Bradshaw, Jeffrey M. · 1997
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Georg Weichhart · Kultur- und Medientheorie · 2008
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Georg Weichhart · transcript Verlag eBooks · 2008
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Nick Jennings, Service Description, Service Composition et al. · 1996
Building smart software that operates effectively in environments that: – Have no centralised control – Are highly interconnected – Are in constant state of flux
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Bradshaw, Jeffrey M. · 1997
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Bradshaw, Jeffrey M · CERN Document Server (European Organization for Nuclear Research) · 1997
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Michael Genesereth, Steven P. Ketchpel · Communications of the ACM · 1994
article Free Access Share on Software agents Authors: Michael R. Genesereth Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile , Steven P. Ketchpel Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile Authors Info & Claims Communications of the ACMVolume 37Issue 7July 1994 pp 48–ff.https://doi.org/10.1145/176789.176794Published:01 July 1994Publication History 810citation1,659DownloadsMetricsTotal Citations810Total Downloads1,659Last 12 Months41Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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El-Alfy, E.-S.M. · Research Publication Repository of King Fahd University of Petroleum and Minerals (King Fahd University of Petroleum and Minerals) · 2000
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Yung-chuan Lee, Stephen Bishop, Hamed Okhravi et al. · 2012
is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This paper is posted at OpenSIUC.
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Jennings, N. R., Wooldridge, M. J. · ePrints Soton (University of Southampton) · 1996
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Encyclopedia of New Media · 2003
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Rothermel, K. · Fachbereich Informatik (University of Stuttgart) · 1997
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Nick Jennings, Michael Wooldridge · 2008
being used, and touted, for applications as diverse as personalised information management, electronic commerce, interface design, computer games, and management of complex commercial and industrial processes. Despite this proliferation, there is, as yet, no commonly agreed upon definition of exactly what an agent is — Smith et al. (1994) define it as “a persistent software entity dedicated to a specific purpose”; Selker (1994) takes agents to be “computer programs that simulate a human relationship by doing something that another person could do for you”; and Janca (1995) defines an agent as “a software entity to which tasks can be delegated”. To capture this variety, a relatively loose notion of an agent as a self-contained program capable of controlling its own decision making and acting, based on its perception of its environment, in pursuit of one or more objectives will be used here. Within the extant applications, three distinct classes of agent can be identified. At the simplest level, there are “gopher ” agents, which execute straightforward tasks based on pre-specified rules and assumptions (eg inform me when the share price deviates by 10 % from its mean position or tell me when I need to reorder stock items). The next level of sophistication involves “service performing” agents, which execute a well defined task at the request of a user (eg find me the cheapest flight to Paris or arrange a meeting with the managing director some day next week). Finally, there are “predictive ” agents, which volunteer information or services to a user, without being explicitly asked, whenever it is deemed appropriate (eg an agent may monitor newsgroups on the INTERNET and return discussions that it believes to be of interest to the user or a holiday agent may inform its user that a travel firm is offering large discounts on holidays to South Africa knowing that the user is interested in safaris). Common to all these classes are the following key hallmarks of agenthood
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Frank Dignum · Lecture notes in computer science · 2006
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Micha Yohana · Figshare · 2022
This paper discussed software agents by examples, their broad characteristics in relation to environment, structure and applications. The article is built up in the following way: firstly, the notion of software agents is characterized in order to explain, why software agent systems can be useful. This is followed by general remarks about application domains and categories. Finally, some examples of applications – both past and present ones – are described. The article ends with a discussion on future applications. <br>
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Torsten Eymann · 2005
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Mark Harman · Research Portal (King's College London) · 1997
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Implications For Marketing, Michel Clement A, Gunnar Rimmel B et al. · 2007
The potential for the efficient and effective organization of market processes by using interactive media is hardly used. Intelligent software agents represent one of most interesting the innovative technologies under economical criteria. This article shows how supplier can use software agents for the individualization and automation of their marketing instruments applied. The use of methods from artificial intelligence enables agents to learn. Thus the automatic optimization of the marketing instruments becomes possible to satisfy massive individualized needs of the demander. Moreover it is outlined, which effect the supplier&apos;s use of software agent has on the buying behavior of the demander. Interaction effects are considerated, which develop, if demander likewise use software agents for the support of their purchase process. This article shows that software agents increase the effectiveness and efficiency of market processes on several levels of the Consumer Buying Behavior Model. Keywords: Intelligent Software Agents, Marketing, eCommerce, Virtual Market Place BRT Keywords: CB, GA, GE, HB
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Nick Jennings, Michael Wooldridge · 2008
being used, and touted, for applications as diverse as personalised information management, electronic commerce, interface design, computer games, and management of complex commercial and industrial processes. Despite this proliferation, there is, as yet, no commonly agreed upon definition of exactly what an agent is — Smith et al. (1994) define it as “a persistent software entity dedicated to a specific purpose”; Selker (1994) takes agents to be “computer programs that simulate a human relationship by doing something that another person could do for you”; and Janca (1995) defines an agent as “a software entity to which tasks can be delegated”. To capture this variety, a relatively loose notion of an agent as a self-contained program capable of controlling its own decision making and acting, based on its perception of its environment, in pursuit of one or more objectives will be used here. Within the extant applications, three distinct classes of agent can be identified. At the simplest level, there are “gopher ” agents, which execute straightforward tasks based on pre-specified rules and assumptions (eg inform me when the share price deviates by 10 % from its mean position or tell me when I need to reorder stock items). The next level of sophistication involves “service performing” agents, which execute a well defined task at the request of a user (eg find me the cheapest flight to Paris or arrange a meeting with the managing director some day next week). Finally, there are “predictive ” agents, which volunteer information or services to a user, without being explicitly asked, whenever it is deemed appropriate (eg an agent may monitor newsgroups on the INTERNET and return discussions that it believes to be of interest to the user or a holiday agent may inform its user that a travel firm is offering large discounts on holidays to South Africa knowing that the user is interested in safaris). Common to all these classes are the following key hallmarks of agenthood
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