Nwana, H. S., "Software agents: an overview," The Knowledge Engineering Review, vol. 11, pp. 205-244, 1996.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....major differences between this and the Agents approach: 1. Agents researchers imagine that agents should be installed. I disagree. Agents should be servers. 2. Agents have 1 localised (installed) mind per body. I have multiple remote minds (servers) per body. Consider that Distributed AI (DAI) [42, 33] has split into two camps: 1. Distributed Problem Solving (DPS) where the Minds are cooperating to solve the same problem in one Body. 2. Multi Agent Systems (MAS) where the Minds are in different Bodies. We have 1 mind 1 body actors, and coordination of multiple actors. This is what the ....

Nwana, H.S. (1996), Software agents: an overview, Knowledge Engineering Review, 11(3).

....systems; 2) a visualization agent for constructing and presenting various views; and 3) an analysis agent for analyzing MAS performance and making recommendations with a view to optimize the performance of in service agents. 1. Introduction Collaborative software agents in multi agent systems [Bra97,Nwa96,Woo95] have recently attracted a lot of attention and have been experimented in building a variety of applications [Nwa96] Many companies now have R D programmes to develop virtual enterprises based on agent oriented models. The success of agent technology in business process management is due to the ....

....and making recommendations with a view to optimize the performance of in service agents. 1. Introduction Collaborative software agents in multi agent systems [Bra97,Nwa96,Woo95] have recently attracted a lot of attention and have been experimented in building a variety of applications [Nwa96]. Many companies now have R D programmes to develop virtual enterprises based on agent oriented models. The success of agent technology in business process management is due to the recent shift towards service oriented business process management and to the resilient and adaptive nature of ....

Nwana H. Software Agents: An Overview. In Knowledge Engineering Review. 11(3):205-244. 1996

....is shown to be related to this Sample atthe boundary learning algorithm. A prototype system has been developed and evaluation has been conducted. 1. INTRODUCTION Due to the tremendous popularity and growth of the heterogeneous information on the Internet that is dynamically increasing ([4]) it is difficult to index and categorize the Internet documents efficiently to speed up searching and browsing by broad spectrum of users for newly generated concepts and interests. This is apparent as the internal representation of the information retrieval systems may not always match the ....

H. S. Nwana, "Software agents: An overview," Knowledge Engineering Review, vol. 11, pp. 1--40, Sep. 1996.

....(DAI) is one of the Artificial Intelligence (AI) fields, which has been growing faster and faster during the last ten years. One of the key components in DAI is Intelligent Agents (IA) It can be found in the literature several different applications and research around the intelligent agents [13], such as Collaborative Agents, Interface Agents, Mobile Agents, Information Internet Agents, etc. An Intelligent Agent or Intelligent Agent System is a software based computer system that enjoys the following properties: autonomy: agents operate without the direct intervention of humans or ....

H.S. Nwana, "Software agents: an overview", The Knowledge Engineering Review Vol.11 No.3, 1996

....is applied to and interpreted for the application class of agent systems assigning an explicit building block character and own semantic status to both, agents and interagent connectors. A software agent is a computer program working autonomously and goalorientedly in the name of an authority [11]. An agent has got its own execution profile and is able to execute tasks on its own initiative and cooperating with other agents during its life cycle. Interagent connectors serve the communication and interaction between agents in an agent system. Interagent connectors provide protocols ....

Nwana, H.S. 1996. Software Agents: An Overview. Knowledge Engineering Review, Vol.11, No.3, 205-244, Cambridge University Press.

....organisational levels by human managers and, as user demands increase, the scalability issue becomes more apparent. This work proposes the use of intelligent agents, which are defined as software entities with the following properties: autonomy, social ability, reactivity and pro activeness [14][22] There has been considerable research focussing upon intelligent agents, agent architectures [12] and several standardisation efforts [3] 15] indicates that this technology is suitable for network management. This work is partially supported by the CICYT (Spanish Education Ministry, under ....

H.S. Nwana, "Software agents: an overview", The Knowledge Engineering Review Vol.11 No.3, 1996

....this task by using distributed artificial intelligence, i.e. intelligent agents [16] 29] 30] For daily network management, use of intelligent software agents is proposed. These are defined as software entities with special properties (autonomy, social ability, reactivity and pro activeness) [18][31] The main objective is to automate these management functions and so improve network performance. As network management is a good field for applying these techniques, several Multi Agent approaches to these various network management problems have been developed ....

Nwana, H.S., 1996, "Software agents: an overview", The Knowledge Engineering Review Vol. 11 No.3.

....an agent has about the world it occupies, whereas pro attitudes (desire, intention, obligation. are those that in some way guide the agent s actions. It seems reasonable to suggest that an agent must be represented in terms of at least one information attitude, and at least one pro attitude [13][14] 3.2 Agent Architectures Physical Network Low Priority VP Network High Priority VP Network Multi reliability VP Network Priority Control Agent architectures can be defined as a particular methodology for building agents. It specifies how the agent can be decomposed into the ....

Nwana, H.S. "Software Agents: An Overview", Knowledge Engineering Review, 11, 1996

....an important opportunity for intelligent agents to play a role in battlefield simulations. Intelligent agents are software entities that are interact with an environment (i.e. can sense the state of the world, and take actions to change it) and furthermore are goal oriented and autonomous [2]. Agents are often based on artificial intelligence (AI) techniques to make intelligent decisions and select actions that will achieve their goals. Useful techniques include: heuristic search, planning, knowledge representation, automated deduction, and management of uncertainty. For example, an ....

Nwana, H.S. (1996). Software Agents: An Overview. Knowledge Engineering Review, 11(3): 1-40.

....context, while a position represents a set of roles, typically played by one agent. An agent can occupy a position, while a position is said to cover a role. Notice that the notion of actor in Tropos is a generalization of the classical AI notion of software agent, as given for instance in [17]. A discussion on this issue can be found in [26] Goal. A goal represents the strategic interests of actors. Our framework distinguishes between hard goals and softgoals, the latter having no clear cut definition and or criteria as to whether they are satisfied. Softgoals are useful for modeling ....

H. Nwana. Software agents: An overview. Knowledge Engineering Review Journal, 11(3), November 1996.

....shared agent representations. This paper addresses a number of issues involved in the realisation of such distributed shared agent representations, and briefly discusses middleware that is being devised to support such developments. 1 1 Introduction Di#erent definitions of agents [1] 11][18][24] 30] use concepts such as autonomy, pro activity, reactivity, social abilities, and intentional models [2] 5] Very few (if any) however, refer to an agent s external representation: the part of an agent that can be observed. This representation is the visible part of an agent: part of) its ....

HS. Nwana. "Software agents: an overview." The Knowledge Engineering Review, 11(3):205--244, 1996.

....The pages will come from Web robot search, supervised navigation and collaborative retrieval. In the following paragraphs we explain the architecture of the system. Fig. 1. Architecture of METIOREW Personal Agent. For the development of METIOREW we have adopted an approach based on agents [22] with specific goals and who share information. The Personal Agent controls the users identification, management of objectives, supervised navigation, history of activities, generation of recommendations and the reception of user feedback. Search Agent. There is a search agent for each user ....

Nwana, H. (1996). "Software Agents: An Overview". Knowledge Engineering Review

....agent domain have been introduced. Some of these dimensions have been classified or further partitioned. Despite the breadth of the provided information, more exists. For example, Nwana moves beyond agent classification by property and architecture by suggesting classification by roles and goals (Nwana 1996). 2.4 Summary In summary, a knowledge base system is an abstraction of a database system intended to contain not just data, but any class of knowledge. It would even be possible, following the approach of Sernadas and Sernadas, to have a knowledge base system of knowledge bases. Not only can ....

Nwana, H. (1996). "Software Agents: An Overview." Knowledge Engineering Review, 11(3), 205-244.

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Nwana, H. S., "Software agents: an overview," The Knowledge Engineering Review, vol. 11, pp. 205-244, 1996.

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Nwana H. S., Software Agents: An Overview, In Knowledge Engineering Review, Cambridge University Press, 1996

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H. Nwana, "Software agents: An overview," Knowl. Eng. Rev. J., vol. 11, no. 3, 1996.

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H. Nwana, `Software agents: An overview', Knowledge Engineering Review Journal, 11(3), (November 1996).

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H. Nwana. Software agents: An overview. Knowledge Engineering Review Journal, 11(3), November 1996.

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Hyacinth S. Nwana. Software Agents: An Overview. In Knowledge Engineering Review, volume 11, chapter 3, pages 1-40. Cambridge University Press, September 1996.

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H.S. Nwana, "Software Agents: An Overview," Knowledge Engineering Review, Vol. 11, No. 3, October/November 1996, pp. 205-244. Available at http://www.cs.umbc.edu/agents/introduction/ao/

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Nwana H.S., "Software Agents: An Overview", Knowledge Engineering Review, Vol. 11, No 3, September 1996, pp. 1-40.

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Nwana, H, S., (1996), "Software Agents: An Overview", Knowledge Engineering Review, Vol. 11, No. 3, pp.1-40.

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Nwana H.S., "Software Agents: An Overview", Knowledge Engineering Review, Vol. 11, No 3, September 1996, pp. 1-40.

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Nwana, H.S. (1996), Software agents: an overview, Knowledge Engineering Review, 11(3).

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H. Nwana, Software agents: an overview", in Knowledge Engineering Review, vol. 2 N. 3, pp. 205-244, October/November 1996.

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