N. R. Jennings. An agent-based approach for building complex software systems. Commun. ACM, 44(4):35--41, 2001. Home/Search Document Not in Database Summary ACM TOC Related Articles Check |
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Comparing Agent-Oriented Methodologies - Dam, Winikoff (2003) (2 citations) (Correct)
....are given. In addition, it is necessary to consider which development contexts are supported by the methodology. In particular, we need to examine whether a particular AOSE methodology supports legacy system integration. This criterion is important, especially for AOSE because, as emphasized in [13], one of the key pragmatic issues which determine whether the agentoriented paradigm can be popular as a software engineering paradigm is the degree to which existing software can be integrated with agents. In addition to heuristics, the availability of estimating guidelines is essential in aiding ....
N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, 2001.
Anthropic Agency: A Multiagent System for - Physiological Processes Francesco (Correct)
....(F. Amigoni) 0933 3657 03 see front matter # 2003 Elsevier Science B.V. All rights reserved. doi:10.1016 S0933 3657(03)00008 3 [3,16] In fact, the complexity of a phenomenon can be usually decomposed in such a way that each agent embeds the control model for a portion of the phenomenon [22,23]. Hence, each agent controls only some aspects of a phenomenon and a complete controller for the whole phenomenon emerges from the cooperation process among agents. The actions the agents undertake to control their portions of the phenomenon may conflict, as a result of the overlapping of the ....
Jennings NR. An agent-based approach for building complex software systems. Commun ACM 2001;44(4):35--41.
Agents via Mixed-mode Computation in Linear Logic - Harland, Winikoff (2004) (1 citation) (Correct)
....the system. Keywords: Linear Logic, Mixed mode computation, Intelligent Agents, Belief Desire Intention (BDI) 1. Introduction An increasingly popular programming paradigm is that of agent oriented programming. This paradigm, often described as a natural successor to object oriented programming [23], is highly suited for applications which are embedded in complex dynamic environments, and is based on human concepts, such as beliefs, goals and plans. This allows a natural speci cation of sophisticated software systems in terms that are similar to human understanding, thus permitting ....
Nick Jennings, An agent-based approach for building complex software systems, Communications of the ACM 44:4:35-41, 2001.
Seamless Context-Aware Information Assists Based On.. - Sashima, Kurumatani (2002) (Correct)
....aspects of the environments are sufficiently represented in the database, the agents are virtually grounded on the physical world. Most of the researchers of multiagent system focus on the problem how the system effectively serves the user who operates a computer terminal connected to the Intemet[8][9] Recently, a few researchers apply multiagent technology to information assist service in the context of ubiquitous computing however. CoolAgent[10] is a first context aware software agent system on which contextual information can be distributed among agents. Although the agents can share the ....
N.R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44 (4): 35-41, 2001.
A Multiagent Interaction Paradigm for Physiological Process.. - Amigoni, Gatti (2002) (Correct)
....di Milano; Piazza Leonardo da Vinci, 32; somalvic elet.polimi.it ABSTRACT Multiagent systems are powerful and flexible tools for controlling complex phenomena. The complexity of a phenomenon can be tackled in such a way that each agent embeds the controller for a portion of the phenomenon [3]. In this perspective, the interaction among the agents results in a complex controller for the whole phenomenon. The actions the agents undertake to control their portions of the phenomenon may conflict, as a result of the overlapping of the controlled portions; hence a mediated interaction is ....
Jennings, N. R. An Agent-Based Approach for Building Complex Software Systems. Communications of the ACM, 44(4) April 2001, 35-41.
An Agent-Oriented Approach to Industrial Automation Systems - Wagner (2002) (Correct)
....and functionality. Automation systems require flexible and adaptive software. Changes affecting the software can refer to data, structure or operating sequences of the system. These properties are comparable to the general properties of complex decentralized systems as described by Jennings in [11]. Fig. 3 shows, on the left side, an overview of the inherent properties of complex systems: A complex system has a large number of parts that have many interactions. Complexity frequently takes the form of an organizational structure of interrelated subsystems and their components, relations ....
....subsystems and their components, relations between subsystems vary over time. Generally viewing the development of software these days, a wide range of software models and techniques have been devised to make it easier to handle this complexity. However, they fall short in two main ways [11]: 1. The interactions between the various computational entities are too rigidly defined. 2. There are insufficient mechanisms available for representing the system s inherent organizational structure. Picking up the analysis aspects in section 2.2, this statement also applies to software of ....
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Jennings, N.R.: An agent-based approach for building complex software systems. Communications of the ACM, 44 (4) 35-41, 2001
Developing Multiagent Systems: The Gaia Methodology - Zambonelli, Jennings.. (2003) (26 citations) Self-citation (Jennings) (Correct)
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N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, April 2001.
Brain Meets Brawn: Why Grid and Agents Need Each Other - Foster, Jennings, Kesselman (2004) (1 citation) Self-citation (Jennings) (Correct)
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Jennings, N.R. An agent-based approach for building complex software systems. Communications of the ACM, 44 (4). 35-41. 2001.
Brain Meets Brawn: Why Grid and Agents Need Each Other - Foster, Kesselman, Jennings (2004) (1 citation) Self-citation (Jennings) (Correct)
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Jennings, N.R. An agent-based approach for building complex software systems. Communications of the ACM, 44 (4). 35-41. 2001.
FIRE: An Integrated Trust and Reputation Model for Open.. - Huynh, Jennings.. (2004) (1 citation) Self-citation (Jennings) (Correct)
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N. R. Jennings, `An agent-based approach for building complex software systems', Communications of the ACM, 44(4), 35--41, (2001).
Automating Negotiation for M-Services - Paurobally, Turner, Jennings (2003) (1 citation) Self-citation (Jennings) (Correct)
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N. R. Jennings, "An agent-based approach for building complex software systems," Commun. ACM, vol. 44, no. 4, pp. 35--41, 2001.
Designing a Successful Trading Agent: A Fuzzy Set Approach - He, Jennings (2004) Self-citation (Jennings) (Correct)
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N. R. Jennings, "An agent-based approach for building complex software systems," Commun. ACM, vol. 44, no. 4, pp. 35--41, 2001.
Developing an Integrated Trust and Reputation Model for.. - Huynh, Jennings.. (2004) (3 citations) Self-citation (Jennings) (Correct)
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N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, April 2001.
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents.. - He, Leung, Jennings (2003) (2 citations) Self-citation (Jennings) (Correct)
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N. R. Jennings, "An Agent-Based Approach for Building Complex Software Systems," Comm. ACM, vol. 44, no. 4, pp. 35-41, 2001.
Minimising Intrusiveness in Pervasive Computing.. - Ramchurn, Deitch, .. Self-citation (Jennings) (Correct)
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N. R. Jennings. An agent-based approach for building complex software systems. Communications. of the ACM, 44(4):35--41, 2001.
Developing Multiagent Systems: The Gaia Methodology - Zambonelli, Jennings.. (2003) (26 citations) Self-citation (Jennings) (Correct)
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N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, April 2001.
Finding Interaction Partners Using Cognition-Based.. - Partha Sarathi Dutta Self-citation (Jennings) (Correct)
....agents deployed in such systems have different owners and act as self interested entities to achieve their corresponding goals. In such systems, it is not feasible to predict in advance all possible services that agents would require in order to achieve their individual and collective goals [Jennings, 2001] . Also, it is not possible to enumerate a priori the contexts in which an agent might need to interact with another for its service requirements. Against this background, this paper develops a set of decision heuristics that assist self interested agents in finding the necessary service providers ....
....they deliberate on the consequences of such decisions in terms of the cost incurred. Each such decision is facilitated by their individual cognition and directed towards improving their own utility. Agents with both individual and societal decision making components are studied in [Hogg and Jennings, 2001] Here, learning others behaviour and employing a meta level reasoning to adapt strategies of interactions are shown to yield improvements in utility earnings. However, though this work dwells on adaptive agent behaviour, it does not address emergence of group structures as an influence of the ....
N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, 2001.
On Agent-Mediated Electronic Commerce - He, Jennings, Leung (2 citations) Self-citation (Jennings) (Correct)
....in stock, it may be appropriate to reduce the price in order to try and increase demand) To achieve this degree of automation, and move to second generation e commerce 1 applications, we believe that a new model of software is needed. This model is based upon the notion of interacting agents [64] (hence the term agent mediated electronic commerce ) Against this background, the aim of this paper is to motivate the use of agents in e commerce, to highlight the roles that agents can and are fulfilling in this domain, and to review some of the key technologies that underpin this vision. ....
....and to review some of the key technologies that underpin this vision. First, however, we define exactly what we mean by the terms agent and electronic commerce . A. Interacting Agents An agent is a software program that acts fiexibly on behalf of its owner to achieve particular objectives [64]. 2 To do this, the software must exhibit the following properties [162] Second generation systems are here characterised as having a greater degree of automation on both the buyer s and the seller s side. Like many classifications, however, this distinction is not absolute and there are areas ....
N.R. Jennings. An agent-based approach for building complex software systems. Communications of ACM, 44(4):35 41, 2001.
Distributed Patient Scheduling in Hospitals - Paulussen, Jennings, Decker.. (2003) (1 citation) Self-citation (Jennings) (Correct)
....agents can interact with each other to reach their own goals. Moreover they can react with the needed flexibility to changes (as new information about the health status of a patient becomes available) and disturbances (e.g. emergencies and complications) through proactiveness and responsiveness [Jennings, 2001] . This paper advances the state of the art in two main ways. First is the design of a novel procedure, i.e. a patient centred multi agent based coordination mechanism, where the patients are represented as autonomous agents, trying to improve their current scheduling state by negotiation with ....
N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, April 2001.
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N. R. Jennings. An agent-based approach for building complex software systems. Commun. ACM, 44(4):35--41, 2001.
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N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, April 2001.
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N. R. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, April 2001.
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N. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, 2001.
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N. Jennings. An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35--41, 2001.
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Jennings, N. R. An Agent-based Approach for Building Complex Software Systems. ACM 44(4): 35-41.
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N. R. Jennings. An Agent-Based Approach for Building Complex Software Systems. Communications of the ACM, 44(4), 2001.
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Jennings, N. R.: An agent-based approach for building complex software systems. Communications of the ACM, Vol. 44, No. 4, pp. 35-41, 2001.
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Jennings, N R. An Agent-based Approach for Building Complex Software Systems. Communications of the ACM. Vol 44, No: 4. pp. 35 to 41. April 2001. 20
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