Implementing a business process management system using adept: A real-world case study

Jennings, Nicholas R.; Faratin, Peyman; Norman, Timothy J.; O’Brien, Philip; Odgers, B. R.; Alty, James L.

doi:10.1080/088395100403379

Cited by 73 publications

(25 citation statements)

References 10 publications

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“…The approach reported here differs from other efforts, for example, [11,21,14], in the use of a formal model of the cognitive aspects of our domain constructed a priori. This allows us to determine the place of agents in a systematic fashion rather than developing ad hoc solutions.…”

Section: Introductionmentioning

confidence: 88%

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Agents for Cross-Organisational Business Interoperability

Stalker

Mehandjiev

2009

Lecture Notes in Business Information Processing

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When citing this source, please use the final published version as above.This document was downloaded from http://tees.openrepository.com/tees/handle/10149/95375 Please do not use this version for citation purposes.All items in TeesRep are protected by copyright, with all rights reserved, unless otherwise indicated. Abstract. Increasing complexity of products and services together with shrinking lead times means that demands are often best satisfied through dynamic networks of collaborating enterprises. Businesses seek agile partnerships where companies focus on core business activities and partners provide complementary expertise. Successful collaboration demands a tight yet flexible integration of business processes. In this paper we focus on issues of process interoperability and the use of agents to support cross-organisational process interoperability. We maintain that an informed decision on the place of agents within this context demands a systematic approach: such an approach forms the core contribution of this paper. We apply a modified version of the function-behaviourstructure (FBS) framework of Gero as an organising schema to develop a clarifying structure; and to help determine the role of software agents. Agents for Cross-Organisational Business InteroperabiltiyIn particular, we use the formal elements of the FBS framework to identify those areas where agents may be applied. We highlight the need to combine this with appropriate mechanisms to promote semantic interoperability.

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Section: Introductionmentioning

confidence: 88%

“…We note that Wooldridge [9] presents the domain of workflow and business process [11,10]. Of particular interest is the broad classification of applied agents into two groups by Wooldridge [9]:…”

Section: Application Of Agentsmentioning

confidence: 99%

Agents for Cross-Organisational Business Interoperability

Stalker

Mehandjiev

2009

Lecture Notes in Business Information Processing

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“…As such, ADEPT supplies a set of tools (i.e., models and a language) to achieve its purpose. Our evaluation of ADEPT is based on details provided in [8,10,11,16]. In ADEPT, the main building block (from the modeling viewpoint) is the agency.…”

Section: Adeptmentioning

confidence: 99%

Evaluation of modeling techniques for agent-based systems

Shehory

Sturm

2001

Proceedings of the Fifth International Conference on Autonomous Agents

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To develop agent-based systems, one needs a methodology that supports the development process as common in other disciplines. In recent years, several such methodologies and modeling techniques have been suggested. An important question is, to what extent do the existing methodologies address the developers' needs. In this paper we attempt to answer this question. In particular, we discuss suitability of agent modeling techniques to agent-based systems development. In evaluating existing modeling techniques, we address criteria from software engineering as well as characteristics of agent-based systems. Our evaluation shows that some aspects of modeling techniques for agent-based systems may benefit from further enhancements. As we show, these aspects include distribution, concurrency, testing and communication richness. We also find space for (relatively small) improvements in aspects such as the refining of the models throughout the development process and the coverage and consistency checking of the suggested models.

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“…These macro-strategies are different from those micro-strategies that direct the individual negotiation thread, such as whether the agent should concede and how much the agent should concede, etc [3].…”

Section: Introductionmentioning

confidence: 99%

Meta-level coordination for solving negotiation chains in semi-cooperative multi-agent systems

Zhang

Lesser

2007

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems

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A negotiation chain is formed when multiple related negotiations are spread over multiple agents. In order to appropriately order and structure the negotiations occurring in the chain so as to optimize the expected utility, we present an extension to a singleagent concurrent negotiation framework. This work is aimed at semi-cooperative multi-agent systems, where each agent has its own goals and works to maximize its local utility; however, the performance of each individual agent is tightly related to other agent's cooperation and the system's overall performance. We introduce a pre-negotiation phase that allows agents to transfer meta-level information. Using this information, the agent can build a more accurate model of the negotiation in terms of modeling the relationship of flexibility and success probability. This more accurate model helps the agent in choosing a better negotiation solution in the global negotiation chain context. The agent can also use this information to allocate appropriate time for each negotiation, hence to find a good ordering of all related negotiations. The experimental data shows that these mechanisms improve the agents' and the system's overall performance significantly.

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Implementing a business process management system using adept: A real-world case study

Cited by 73 publications

References 10 publications

Agents for Cross-Organisational Business Interoperability

Agents for Cross-Organisational Business Interoperability

Evaluation of modeling techniques for agent-based systems

Meta-level coordination for solving negotiation chains in semi-cooperative multi-agent systems

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