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Robert Weihmayer and Hugo Velthuijsen. Application of Distributed AI and cooperative problem solving to telecommunications. In Proceedings of the 13th International Workshop on Distributed Artificial Intelligence, pages 378-402, Seatle, WA, July 1994.

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This paper is cited in the following contexts:
An Agent Future for Network Control? - Willmott, Calisti (2000)   (Correct)

....view, a network is a complex system requiring complicated management under very trying domain constraints. To a Distributed Artificial Intelligence researcher, a network is a highly distributed, complex and challenging environment for the application of intelligent systems ( Lewis95] Maes94] Weihmayer Velthuijsen 94] The idea of distributing communication network control and management tasks by deploying smart , cooperative and autonomous entities in network infrastructures has thus received considerable attention from both the Distributed Artificial Intelligence (DAI) and the Communications Network ....

Robert Weihmayer and Hugo Velthuijsen. Application of Distributed AI and cooperative problem solving to telecommunications. In Proceedings of the 13th International Workshop on Distributed Artificial Intelligence, pages 378-402, Seatle, WA, July 1994.


Stefan Bussmann - Marcus Klosterberg Department   (Correct)

....and hype to field tested, implemented systems is perhaps somewhat high, but there are, nevertheless, some documented multi agent applications. Example domains include power systems management [13] air traffic control [11] particle accelerator control [2] telecommunications network management [12], spacecraft control [10] computer integrated manufacturing [7] job shop scheduling [5] and steel coil processing control [4] In this paper, we present a multi agent solution for an industrial problem that is both common and important: factory production sequencing. Briefly, this problem ....

R. Weihmayer and H. Velthuijsen. Application of distributed AI and cooperative problem solving to telecommunications. In J. Liebowitz and D. Prereau, editors, AI Approaches to Telecommunications and Network Management. IOS Press, 1994.


Industrial Applications of Distributed AI - Chaib-draa (1995)   (2 citations)  (Correct)

.... when we consider two trends in the design of such systems: distribution of functionality and incorporation of intelligence (that is software that implements sophisticated services and decision making) The DAI literature includes a number of approaches that address the telecommunication eld [18]. Here we brie y describe one, called LODES, that has been tried on real networks. Speci cally, LODES detects and diagnoses problems in a segment of a local area network [16] Di erent LODES system copies each acting as an agent can monitor and manage di erent network segments. The LODES ....

Weihmayer, D. and Veltguijsen, H. Application of distributed AI and cooperative problem solving to telecommunications. In Proc. of 13th Int. DAI Workshop, Seattle, USA, 1994. 8


Cooperative Agents that Adapt for Seamless Messaging in .. - Abu-Hakima, Liscano..   (Correct)

.... the proliferation of heterogeneous devices and services associated with them (this is particularly true of multi vendor mixed computing communications networks) the growing need for privacy, the sustained demands for high performance, and the increasing desire for intelligence in the network [Weihmayer and Velthuijsen 94] Modelling messaging in organization services as a collection of coordinated agents results in a number of benefits. For example, a degree of virtual homogeneity is brought to otherwise heterogeneous networks of computer telephony messaging services and devices (such as voice mail, email or fax ....

R. Weihmayer and H. Velthuijsen. Application of Distributed AI and Cooperative Problem Solving to Telecommunications. In Proc. of the International Workshop on Distributed Artificial Intelligence, Lake Quinault WA, July 1994.


A Help Desk Application for Sharing Resources Across High.. - Abu-Hakima, Ferguson   (Correct)

.... devices and services associated with them (this is particularly true of multi vendor mixed computing communications networks such as that used by MANA agents) the growing need for privacy, the sustained demands for high performance, and the increasing desire for intelligence in the network [Weihmayer and Velthuijsen 94] A primary objective of the MANA architecture is to facilitate the modelling of organizational services through decoupling of service definition and service provisioning [Weiss et al. 95] Through modelling organizational services as collections of coordinated agents, a number of benefits are ....

R. Weihmayer and H. Velthuijsen. Application of Distributed AI and Cooperative Problem Solving to Telecommunications. In Proc. of the International Workshop on Distributed Artificial Intelligence, Lake Quinault WA, July 1994.


Intelligent Agents: Theory and Practice - Wooldridge, Jennings (1995)   (207 citations)  (Correct)

.... include power systems management (Wittig, 1992; Varga et al. 1994) air traffic control (Steeb et al. 1988) particle accelerator control (Jennings et al. 1993) intelligent document retrieval (Mukhopadhyay et al. 1986) patient care (Huang and Fox, 1994) telecommunications network management (Weihmayer and Velthuijsen, 1994), spacecraft control (Schwuttke and Quan, 1993) computer integrated manufacturing (Parunak, 1995) concurrent engineering (Cutkosky et al. 1993) transportation management (Fisher et al. 1993) job shop scheduling (Morley and Schelberg, 1993) and steel coil processing control (Mori et al. ....

Weihmayer, R. and Velthuijsen, H. (1994). Application of distributed AI and cooperative problem solving to telecommunications. In Liebowitz, J. and Prereau, D., editors, AI Approaches to Telecommunications and Network Management. IOS Press.


Socially Rational Agents - Some Preliminary Thoughts - Hogg, Jennings   (Correct)

....2. Shortcomings of individual rationality in multi agent systems The successful combination of several autonomous, intelligent agents working together is the aim of research into multi agent systems [6] 7] Increasingly, the multi agent paradigm is being used to build real, complex systems [8], 9] Reasons for this include the inherent natural distribution of problem components and the maturing of distributed computing technology. In such systems, the agents are interdependent, due to resource limitations and problem interdependencies, andl need to interact with one another in order ....

R. Weihmayer and H. Velthuijsen, Applications of distributed AI and cooperative problem solving to telecommunications, in J. Liebowitz and D. Prereau (eds), Ai Approahces to telecommunications and network management, IOS Press, 1994.


Applying Agent Technology - Jennings, Wooldridge (1998)   (5 citations)  (Correct)

....their dependencies are properly managed. Real world examples of such domains for which agent based systems have been developed include: power systems management (Jennings et al. 1995; Varga et al. 1994) particle accelerator control (Jennings et al. 1993) telecommunications network management (Weihmayer and Velthuijsen, 1994), spacecraft control (Schwuttke and Quan, 1993) computer integrated manufacturing (Parunak, 1995) transportation management (Fischer et al. 1995) job shop scheduling (Morley and Schelberg, 1993) and steel coil processing (Mori et al. 1988) In such domains, an agent based approach means that ....

R. Weihmayer and H. Velthuijsen. 1994. Application of distributed AI and cooperative problem solving to telecommunications. In AI Approaches to Telecommunications and Network Management (eds J. Liebowitz and D. Prereau) IOS Press.


Towards a Social Level Characterisation of Socially.. - Jennings, Campos (1997)   (26 citations)  (Correct)

.... arguably the role in which agent systems will have their greatest impact (Guilfoyle and Warner, 1994) is in being used as a solution technology for complex industrial and commercial applications e.g. industrial control (Jennings et al. 1996) manufacturing (Parunak, 1996) telecommunications (Weihmayer and Velthuijsen, 1994), and air traffic control (Rao and Georgeff, 1995) In such applications, a balance needs to be struck between the needs of the individual agents and those of the overall system. For example, if one agent has sole control over the production of a resource which several others need, then from a ....

Weihmayer, R., and Velthuijsen, H., (1994) "Applications of distributed AI and cooperative problem solving to telecommunications" in AI approaches to telecommunications and network management (eds J. Liebowitz and D. Prereau) IOS Press.


Agent Software - Jennings (1995)   (3 citations)  (Correct)

....their dependencies are properly managed. Real world examples of such domains for which agent based systems have been developed include: power systems management (Jennings et al. 1995; Varga et al. 1994) particle accelerator control (Jennings et al. 1993) telecommunications network management (Weihmayer and Velthuijsen, 1994), spacecraft control (Schwuttke and Quan, 1993) computer integrated manufacturing (Parunak, 1995) transportation management (Fischer et al. 1995) job shop scheduling (Morley and Schelberg, 1993) and steel coil processing (Mori et al. 1988) In such domains, an agent based approach means that ....

R. Weihmayer and H. Velthuijsen. 1994. Application of distributed AI and cooperative problem solving to telecommunications. In AI Approaches to Telecommunications and Network Management (eds J. Liebowitz and D. Prereau) IOS Press.

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