Knapik, M. and Johnson, J., Developing Intelligent Agents for Distributed Systems, McGraw Hill, 1998.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....or adapt to changes to the environment. While the basic components of an expert system are its internal knowledge base and its reasoning capabilities based on the contents of the knowledge base. Accordingly, an expert system may be the easiest way to give an agent some intelligence (see page 39 of [36]) In other words, the reasoning is necessary for the intelligence of an intelligent agent. Actually, this is not dicult to be understood. Generally speaking, an agent must perform two functions: perceptions of changes in the environment it situates, and actions to a ect changes in the ....

....Barbara It is interesting that an agent could be integrated into an expert system. For example, Brown, Santos and Banks [6] integrate their intelligent interface agents into an expert system shell called PESKI (Probabilities, Experts Systems, Knowledge, and Inference) 26, 27, 5] In [36], Knapik and Johnson further discuss how agents can make use of expert systems that are up and running in most domains in which agents are likely to be used. Fig. 4. The comparison of isomorphisms from the subjective Bayesian method to the certainty factor model. a) In the case P(H) 0.2. 0 ....

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M. Knapik and J. Johnson, Developing Intelligent Agents for Distributed Systems: Exploring Architecture, Technologies, and Applications, McGraw-Hill, 1998.

....to achieve its task. With cooperative paradigms, it is not. Goals may be specified via a programmatic API, a protocol API, or both. They do not require an object oriented distributed system to be used underneath, but the coupling of agents and objects seems promising in N SM. Knapik and Johnson [30] describe different styles of communication between intelligent agents: object oriented agents rely on remote method calls, whereas plain agents rely on communication languages such as KQML [12] The primitives (performatives) of KQML are considerably richer than those of SNMP and CMIP, so goals ....

M. Knapik and J. Johnson, Developing Intelligent Agents for Distributed Systems, McGraw Hill, New York, NY, USA, 1998.

....began with electronic blackboards, and other meeting assistance technology [24] The field of GDSS (Group Decision Support Systems) has built technology, and studied its effect within face to face meetings. Many meeting room tools have now matured, and found good utility within meetings [27]. Previous meeting technology research work was performed at MCC during the 1980s; co author Ellis was head of that effort (Project NICK [13] That effort was enlightening, and successfully applied technology, but did not attack distributed meetings, and did not employ agents. Likewise, several ....

Knapik, Michael & Jay Johnson, Developing Intelligent Agents for Distributed Systems, McGraw-Hill, 1998.

....work, from its humble beginnings as electronic mail and network newsgroups, is moving into workflow and true distributed environments [16, 4] Heterogeneous and physically separated information sources are being linked together. Tasks are being delegated across the network by means of agents [17]. Electronic commerce is possible through secure protocols. Yet, despite this explosive development, distributed computing itself remains a major challenge. Why is this A distributed system is a set of autonomous processes, linked together by a network [35, 20, 6] To emphasize that these ....

Michael Knapik and Jay Johnson. Developing Intelligent Agents for Distributed Systems. McGraw-Hill, 1998.

....are now trying to use intelligent agents to manage networks and systems [24, 68, 88, 107] But we should remember that the limits between mobile agents (following a mobile code paradigm) and intelligent agents (following a cooperative paradigm) are sometimes fuzzy. And when Knapik and Johnson [52] advocate the use of OO agents (object oriented agents) to combine the advantages of both worlds, the classification becomes even trickier. In fact, OO agents implement two paradigms simultaneously, distributed objects and intelligent agents, and can even implement a third: mobile code. L. Ho ....

....With strongly distributed cooperative paradigms, it is not. Goals may be specified via a programmatic API, a protocol API, or both. They do not require an object oriented distributed system to be used underneath. But the coupling of agents and objects looks promising in NSM. Knapik and Johnson [52] describe different styles of communication between intelligent agents: object oriented agents rely on remote method calls, whereas plain agents rely on communication languages such as KQML [32] The primitives (performatives) of KQML are considerably richer than those of SNMP and CMIP, so goals ....

M. Knapik and J. Johnson. Developing Intelligent Agents for Distributed Systems. McGraw Hill, New York, NY, USA, 1998.

....In such environment the progress of the problem solving cannot be monitored closely and the control of the user over the system excercised too strictly, Fig. 1. The design of an intelligent system on the Web requires thus a shift in what should be considered as essential system properties [2, 3, 4]. The new system paradigm an agent is in short a system embedded in an environment and acting in a continuous and autonom way. The general idea related to an agent is that of ordering rather the service and delegating any responsibility of direct control than to excercise it. The truth is that ....

M. Knapik and J. Johnson, Developing Intelligent Agents for Distributed Systems, New York, McGraw-Hill, 1997

....interaction between agents. Keywords: dynamic rule management, mobile agent, interaction support, ECommerce. 1 Introduction 1.1 Motivation Mobile agent technology is increasingly considered as the right mean to build innovative, user friendly and more intelligent E Commerce applications (s. [KJ98] for a broad overview) However, the reason of its popularity is not mainly technological, since there are no application problems known that would necessarily require agent technology to be solved 1 , but rather conceptual, that means mobile agent technology seen as a programming paradigm seems ....

M. Knapik and J. Johnson. Developing Intelligent Agents for Distributed Systems. McGraw-Hill, 1998.

....humble beginnings as electronic mail and network newsgroups, is moving into workflow, multimedia, and true distributed environments [25, 12, 6, 5] Heterogeneous and physically separated information sources are being linked together. Tasks are being delegated across the network by means of agents [26]. Electronic commerce is possible through secure protocols. Yet, despite this explosive development, distributed computing itself remains a major challenge. Why is this A distributed system is a set of autonomous processes, linked together by a network [48, 30, 8] To emphasize that these ....

Michael Knapik and Jay Johnson. Developing Intelligent Agents for Distributed Systems. McGraw-Hill, 1998.

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Knapik, M. and Johnson, J., Developing Intelligent Agents for Distributed Systems, McGraw Hill, 1998.

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Knapik, M. & Johnson, J., Developing Intelligent Agents for Distributed Systems, McGraw-Hill Companies, Inc., 1998.

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M. Knapik and J. Johnson, Developing Intelligent Agents for Distributed Systems: Exploring Architecture, Technologies, and Applications (McGraw-Hill, 1998).

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M. Knapik and J. Johnson, Developing Intelligent Agents for Distributed Systems: ploring Architecture, Technologies, and Applications (McGraw-Hill, 1998).

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