Agent-Based Business Process Management

Jennings, Nicholas R.; Faratin, Peyman; Johnson, Matthew; Norman, Timothy J.; O’Brien, Philip; Wiegand, M. E.

doi:10.1142/s0218843096000051

Cited by 166 publications

(98 citation statements)

References 15 publications

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“…More specifically, how and to what extent can an agent-based approach be adopted in an attempt to help practitioners to realise software systems for managing negotiation processes in varying real-world domains? There have already been a number of attempts at generating implemented artificial systems with negotiation capabilities (Jennings et al 1996;Rosenschein and Zlotkin 1994;Sycara 1988). However, there is currently a large chasm between the theoretical work which examines and specifies various models of negotiation and the agent-based artificial systems which often use ad hoc models for intelligent behaviour and social interaction.…”

Section: The Case For An Agent-based Computational Approachmentioning

confidence: 99%

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Panzarasa

Jennings

Norman

2001

Group Decision and Negotiation

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In this paper we use agent-based computational modelling and computer simulations to examine the interrelationship between different selling strategies for going public. A great deal of recent empirical evidence suggests that to maximise the revenue raised from the shares sold in the public offering, it is fundamental to choose the appropriate design for the sale which, in turn, reflects the final ownership structure. This literature establishes that the market for shares is segmented and, particularly, that firms manage the sale of shares with the purpose of discriminating between relatively small and passive investors and applicants for large potentially controlling blocks. One of the key questions in this area, then, is: How and to what extent should this heterogeneity among potential investors influence the firm's strategy for selling shares? Here we attempt to address this question from the standpoint of using agent-based computational modelling and computer simulations. Results show that the design of the sale is an important determinant of the performance of the negotiation process through which the firm is sold. A sequential sale beginning with an initial public offering of dispersed shares, followed by a negotiated sale of a controlling block is, in general, more effective than other alternative selling strategies. Changing the negotiation protocol itself can act as an effective way of impacting upon the revenue raised and the length of the process.The interrelationship between the method of sale and the performance may also depend on the degree of cognitive accuracy that characterises the negotiating agents' mental representations of their physical and social environment.

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Section: The Case For An Agent-based Computational Approachmentioning

confidence: 99%

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Panzarasa

Jennings

Norman

2001

Group Decision and Negotiation

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“…It is based on the conversations between workflow participants, and has merits for modeling unstructured workflow such as project planning. Some research employ object-oriented approach for workflow modeling and enactment (Bose, 1996;Chang and Scott, 1996;Jennings et al, 1996). Bose (1996) presented five classes of objects as a key construct: roles, organization structures, procedures, transitions, and documents.…”

Section: Review Of Related Researchmentioning

confidence: 99%

“…In his model, workflows are executed through message passing between participating objects of the workflows. Both of Chang and Scott (1996) and Jennings et al (1996) suggested agent based approach for workflow management. In their architecture, autonomous and problem solving agents interact via their own protocol to achieve workflow management goals.…”

Section: Review Of Related Researchmentioning

confidence: 99%

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Lee

Kim

Park

1999

Journal of Intelligent Information Systems

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The workflow management system (WFMS) in an agile organization should be highly adaptable to frequent organizational changes. To increase the adaptability of contemporary WFMSs, a mechanism for managing changes on the organizational structure and business rules need to be enhanced. In this paper, a knowledge-based approach for workflow modeling is proposed, in which a workflow is defined as a set of business rules. Knowledge on organizational structure and special workflow, such as role/actor mapping and complex routing rules, can be explicitly modeled in KWM (Knowledge-based Workflow Model).Using knowledge representation scheme and dependency management facility, change propagation mechanism is provided to adapt to frequent changes on organizational structure, business rules and procedures.

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“…We explore an existing model of negotiation [15] based on a set of mutually influencing two-parties, many-issues negotiation. This model relies on strategies and tactics to define the agent's negotiation behaviour (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…to determine which offers should be accepted and which rejected, what counter-offers should be generated and when). The model has been already applied upon a real-world business process management system [15] in which the agents need to agree as to who should perform a particular service under what terms and conditions. Since this model can operate in a wide range of environments and has a large number of parameters, Genetic Algorithms (GA) appear to be a good means of determining its performance through an empirical evaluation (see previous results in [19]).…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Computing and Negotiating Agents

Matos

Sierra

1999

Lecture Notes in Computer Science

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Abstract. Automated negotiation has been of particular interest due to the relevant role that negotiation plays among trading agents. This paper presents two types of agent architecture: Case-Based and Fuzzy, to model an agent negotiation strategy. At each step of the negotiation process these architectures fix the weighted combination of tactics to employ and the parameter values related to these tactics. When an agent is provided with a Case-Based architecture, it uses previous knowledge and information of the environment state to change its negotiation behaviour. On the other hand when provided with a Fuzzy architecture it employs a set of fuzzy rules to determine the values of the parameters of the negotiation model. In this paper we propose an evolutionary approach, applying genetic algorithms over populations of agents provided with the same architecture, to determine which negotiation strategy is more successful.

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Agent-Based Business Process Management

Cited by 166 publications

References 15 publications

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Evolutionary Computing and Negotiating Agents

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