| N.R. Jennings. Cooperation in Industrial Multi-Agent Systems. World Scientific Series in Computer Science, vol. 43, 1994. |
....or alternative plans for achieving mission goals can be developed and presented to the pilot for approval and execution. Particle accelerator control and electricity distribution. This multiagent system is being developed as part of the ESPRIT II project ARCHON (Europe s largest DAI project)[8], seeking to create an environment in which cooperative interaction is possible. The system controls a high energy particle accelerator (for CERN) and was built using an ARCHON prototype system called Generic Rules and Agent Model Testbed Environment (GRATE) GRATE is a general purpose integrative ....
Jennings, N.R. Cooperation in Industrial Multi-Agent Systems. World Scientific Series in Computer Science, Vol. 43. 1994.
....these negative interactions, or if not possible, it will try to reduce their effects. Another option is to use a direct method where agents communicate with each other and try to coordinate their actions. In this case, communications can be used for commitments and convention as suggested by [Jennings, 1994], and they can be used for synchronizing plans and conflict solving. A third method might be a kind of whiteboard (a common data space) in which the hardkill and softkill agents will construct a coordinated plan by some successive refinements. In this case, the coordination will be implicit ....
N.R. Jennings. Cooperation in Industrial Multi-Agent Systems. World Scientific Series in Computer Science, vol. 43, 1994.
....common interface within and between various components at various levels of hierarchy in a system as well as different architectures and methodologies [2 3] As shown in Fig. 1, this interface has evolved from dedicated information infrastructures to infrastructures based on intelligent agents [4 6]. As a result, there is a need to develop a new cost effective approach to rapid knowledge integration for SmC business environment used for global awareness, dynamic planning and global information exchange that is based on the synergistic use of knowledge from multiple sources. Chandra and ....
Jennings, 1L Cooperation in Industrial Multiagent Systems. World Scientific Series in Computer Science. (World Scientific Publishing Co. Inc., 1994. Vol. 43).
....of its members. Researchers have made use of this property to build systems for complex applications like airport management [Rao 85 GeorgeiT 95] traffic control and transport logistics [Fischer et al. 96] advanced robotics systems [Bonasso et al. 96] and distributed electricity management [Jennings 94] 3.2 Agent Architectures In order to cope with these difficult tasks, agents need basic capabilities, such as reactivity, deliberation, efficiency, the ability to interact with other agents, and adaptability. Over the past few years, the development of control architectures that allow to design ....
N. R. Jennings. Cooperation in Industrial Multi-agent Systems, volume 43: World Scientific Series in Computer Science. World Scientific Publishing Co. Inc., 1994. ISBN: 981-02-1652-1.
....the best quali#ed peer from its task base, and asks the peer to perform the task. Compared with other cooperation approaches, i.e. the contract net protocol #Davis Smith 1983#, the assistedcoordination approach #Genesereth Ketchpel 1994#, and the acquaintance models approach #Wittig 1992# #Jennings 1994#, the twin base modeling achieves more e#cient cooperation with high on line performance and low maintenance cost. For a large agent group, we suggest an activity oriented hierarchical structure #club community society# for e#cient cooperation. Agents sharing similar activities constitute a ....
....Modeling Remote Query simulating acquaintance model approach Remote Query simulating assisted coordination approach (sorted by the number of knowledge encoding lines) Cooperative Agents Fig. 2. The Mean Response Time of Cooperative Agents. simulating acquaintancemodel #Wittig 1992# #Jennings 1994#, remote query simulating assisted coordination approach #Genesereth Ketchpel 1994# and remote query simulating contract net protocol #Davis Smith 1983#. Di#erent approaches o#er di#erent advantages to their applications. As illustrated in the Fig. 2, the agents with twin base modeling give ....
Jennings, N. 1994. Cooperation in Industrial Multi-agent Systems. World Scienti#c.
....1994#, agents supply other agents with information about their capabilities and needs. These agents can then use this information to coordinate their activities. The approach is suitable in a small agent group for the reason of communication cost and implementation complexity. #Wittig 1992# and #Jennings 1994# provide an acquaintance model to capture cooperative agents. In 1 Virtual Secretary is an on going project at the UniversityofTroms# #Hartvigsen et al. 1996#. It includes two phases: the #rst phase focuses on user model based software agents for information #ltering and process migration based ....
....control environment, the most straightforward way to capture the other agents information is through communication, i.e. contract net protocol #Davis Smith 1989#. To reduce the amount of communication, other approaches have been proposed #Genesereth Ketchpel 1994#, #Wittig 1992# and #Jennings 1994#. These approaches focus on collecting and maintaining the other agents information and using it to coordinate agents activities. With this regard, considering the goal of ViSe2 multi agent system, our agent modeling focuses on the following domains: state It contains the agent s name, ....
Jennings, N. 1994. Cooperation in Industrial Multi-agent Systems. World Scienti#c.
....two questions: #1# how to model an agent s knowledge for the purpose of intelligent cooperation and #2# how to update and maintain this information consistently for later prediction Agent Modeling in a ViSe Multi agent System As yet, there is no consensus on how to model a general agent. #Jennings 1994# classify an agent s knowledge as state knowledge, intentional knowledge, evaluative knowledge and domain knowledge, while #DuninKeplicz Treur 1994# de#ne an agent s information as material world, mental world of the agent itself, mental world of other agents, interaction with the material ....
....capabilities and needs. In general, what kind of information that is appropriate to representanagent depends on the agent s application domain. Since there is no agreement about the terminology of an agent, which means, there are many diverse agenttypes co existed #Riecken 1994# #Wooldridge Jennings 1994#, we believe that many theories on agent modeling exist. In this section, we #rst de#ne the type of ViSe agent, and then explore an agent modeling mechanism: cooperation base. By considering the e#ciency of cooperation and easiness of information maintenance, we further improve the ....
Jennings, N. 1994. Cooperation in Industrial Multiagent Systems. World Scienti#c.
.... [1] and intelligent environments [74] 75] 3)# Distributed expert systems, which emphasize how agents share information and negotiate over collective solutions (designs) given their different expertise and solution criteria (e.g. concurrent engineering [32] network service restoral [6] [30]) The next generation of applications will integrate characteristics of each of these generic domains. The need for a multiagent approach can also come from applications in which agents represent the interests of different organizational entities (e.g. electronic commerce [40] and enterprise ....
# N.R. Jennings, Cooperation in Industrial Multi-Agent Systems, World Scientific Series in Computer Science, vol. 43, World Scientific Publishing, Singapore, 1994.
....interface in both models. Some of our assistants could work as pure service provider similar to the FIPA directory facility. But our assistants currently communicate via RMI and not via an agent communication language. There are some other agent implementations (like GRATE from Jennings in [10]) which gave us insides for our work. In GRATE it is the clear separation between service management and service content and its description language for service combination. We will consider this language when we will implement distributed planning facilities. In comparison with other assistant ....
N.R. Jennings. Cooperation In Industrial Multi-Agent Systems. World Scienti c Publishing Co. Pte. Ltd., 1994.
....and produces a design around the services that individual agents perform and the acquaintances of each agent. The binary distinction characterizes our own ontology of agent applications [7, 9] and is reflected in Jennings distinction between the knowledge level and social level in agent systems [4]. Holarchic [14] and compositional [1] approaches emphasize that more layers can exist than just agent and system, and discuss interactions as the mechanism by which entities at one level form an entity at a higher level. This ontology is fine as far as it goes, but overlooks some key issues. ....
N. R. Jennings. Cooperation in Industrial Multi-Agent Systems. 1994.
....planning, conflict resolution, task allocation, and other coordination. Newell [64] suggested the usefulness of a knowledge level abstraction of an agent s knowledge that is independent of the implementation details of how the agent actually stores or manipulates information. Jennings [46, 49] argues that when one moves from solitary agents to multi agent systems, it is useful to abstract yet one level higher and describe a social level or cooperative knowledge level that abstracts away from the agent s individual rationality. The design approach recommended for use with dMARS ....
N. R. Jennings. Cooperation in Industrial Multi-Agent Systems. 1994.
....with other agents and feedback from the environment. Learning, adaptation, and evolutionary mechanisms are being used to allow agents to adapt to changing demands of dynamic environments [71, 72, 73, 74, 75, 76] Fielded Applications: The field also produced the first few fielded applications [77, 78, 79] during this period. Two applications in particular deserve special mention. The first of these is the ARCHON project, which provides an architecture for integrating preexisting legacy systems , and was used to implement a large scale fielded application for electricity transport management in ....
N.R. Jennings. Cooperation in Industrial Multi-Agent Systems. World Scientific Series in Computer Science, Vol. 43, 1994.
....plans for achieving mission goals can be developed and presented to the pilot for approval and execution. DAI techniques for particle accelerator control and for electricity distribution This multiagent system has been developed within the ESPRIT II project ARCHON (Europe s largest DAI project) [8] that aims to create an environment in which cooperative interaction is possible. This system controls a high energy particle accelerator (for CERN) and was built using an ARCHON prototype system called GRATE (Generic Rules and Agent Model Testbed Environment) GRATE is a general purpose ....
Jennings N.R. Cooperation in Industrial Multi-Agent Systems. World Scientic Series in Computer Science, vol. 43, 1994.
.... management [1] and intelligent environments [74, 75] Distributed expert systems which emphasize how agents share information and negotiate over collective solutions (designs) given their different expertise and solution criteria (e.g. concurrent engineering [32] network service restoral [6, 30]) The next generation of applications will integrate characteristics of each of these generic domains. The need for a multiagent approach can also come from applications in which agents represent the interests of different organizational entities (e.g. electronic commerce [40] and enterprise ....
N.R. Jennings, Cooperation in Industrial Multi-agent Systems, World Scientific Series in Computer Science, Vol. 43, World Scientific Publishing Co. Pte. Ltd., Singapore, 1994. 15
....Centres Program. The initial version of this work was completed while the author was working at The Australian Artificial Intelligence Institute. the behaviour of groups of artificial agents. Such attempts include building modelling systems for business processes [12] and power grid monitoring [17]. The problem of modelling the activity of teams of artificial agents [14] 20] is a combination of two sub problems: the first is the modelling of the team itself [10] 38] 43] and the second is the modelling of the team activity [18] 20] The problem of modelling teams and team behaviour ....
N. R. Jennings. Cooperation in Industrial MultiAgent Systems. World Scientific Publishing Company, River Edge, NJ, USA, 1993.
.... et al., that work to overcome the inherent problems of interoperability in a large distributed and heterogeneous network [35] Also, the Knowledgeable Agent oriented System (KAoS) takes a very similar approach, and was motivated by very similar problems [4] Other examples may be found in [5, 17, 21]. There are a variety of similar applications being explored, though using different technical approaches. Among these are Carnot, which facilitates information system interoperability through a global knowledge base [7, 20] and work on information agents for the Loom Interface Module, where ....
Jennings, N. 1994. Cooperation in Industrial Multi-Agent Systems. World Scientific. London.
No context found.
N.R. Jennings, Cooperation in Industrial Multiagent Systems. World Scientific Press, London, 1994.
....are based on uncertain and incomplete information. Addressing domains with these characteristics is especially important for DAI as they are typical of the situations in which conventional technologies have difficulties they therefore represent a niche in which DAI could gain a foothold [40]. From a more theoretical perspective, the importance of tackling this type of problem was highlighted by Gasser he observed that a theory of DAI ought to account for how aggregates of agents can achieve joint actions that are robust and continuable despite intermediate foul ups and ....
N. R. Jennings, Cooperation in Industrial Multi-Agent Systems (World Scientific Press, 1994).
....in the network, but in practice there may be several such reasons. The recipe is a series of actions which need to be performed, together with some partial ordering constraints, to produce the desired outcome. A more detailed specification of the primitives of the recipe language is contained in [42]. The recipe indicates what is to be done, not whom is to do it nor the time at which it should be done. The detailed timings and duration of the action are left until the second phase of the protocol. Name: DIAGNOSE FAULT) Motivation: FAULT IN NETWORK) Recipe: START OFF ....
N. R. Jennings, Cooperation in Industrial Multi-Agent Systems (World Scientific Press, 1994).
....of their user, the agents negotiate with one another to find the most acceptable meeting times. Introduction: It is widely believed that the next generation of computer desktop applications will be significantly more proactive in helping users achieve their goals than those which currently exist [1, 2]. Rather than the user having to specify each and every step of a given task, the desktop of the future will be composed of a series of intelligent agents to which a number of high level tasks can be delegated. These agents will be responsible for autonomously deciding how the task is to be ....
N. R. Jennings (1994) "Cooperation in Industrial Multi-Agent Systems" World Scientific Press.
....a substantial amount of time, effort and finance has been devoted to developing complex and sophisticated software systems. These systems are often viewed in a piecemeal manner as isolated islands of automation, when, in reality, they should be seen as components of a much larger business function (Jennings, 1994). The main benefit of taking a holistic perspective is that the partial subsystems can be integrated into a coherent and consistent super system in which they work together to better meet the needs of the entire application. By the very fact that they are integrated, the finite budgets available ....
Jennings, N. R. (1994) "Cooperation in Industrial Multi-Agent Systems" Series in Computer Science - Vol 43, World Scientific Press.
No context found.
Jennings, N. R. 1994a. Cooperation in Industrial MultiAgent Systems. Series in Computer Science - Vol 43, World Scientific Press.
....a substantial amount of time, effort and finance has been devoted to developing complex and sophisticated software systems. These systems are often viewed in a piecemeal manner as isolated islands of automation, when, in reality, they should be seen as components of a much larger overall activity (Jennings, 1994). The benefit of taking a holistic perspective is that the partial subsystems can be integrated into a coherent community in which they work together to better meet the needs of the entire application. By the very fact that they are integrated, the finite budgets available for information ....
....designer and yet providing many useful facilities. Purposebuilt ISs can make use of the ARCHON functionality to enhance their problem solving and to improve their robustness. However pre existing ISs can also be incorporated, with a little adaptation, and can experience similar benefits see Jennings (1994) for a detailed account of how this process was carried out for the particle accelerator control application. This latter point is important because in many cases developing the entire application afresh would be considered too expensive or too large a change away from proven technology (Jennings ....
Jennings, N. R. (1994) "Cooperation in Industrial Multi-Agent Systems" Series in Computer Science - Vol 43, World Scientific Press (ISBN: 981-02-1652-1).
No context found.
N.R. Jennings. Cooperation in Industrial Multi-Agent Systems. World Scientific Series in Computer Science, vol. 43, 1994.
No context found.
Jennings, N.: Cooperation in Industrial Multi-agent Systems. World Scienti#c, 1994.
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