Coordination, Organizations, Institutions, and Norms in by Olivier Boissier, Julian Padget, Virginia Dignum, Gabriela

By Olivier Boissier, Julian Padget, Virginia Dignum, Gabriela Lindemann, Eric T Matson, Sascha Ossowski, Jaime Sichman, Javier Vázquez-Salceda

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"Contributions during this publication express how extra laptop technology can get a lot additional in taking pictures and conscientiously describing interplay dynamics inside and among corporations. … the ebook poses many questions and gives fascinating cutting edge solutions which are of use for machine scientists, but in addition for economists, coverage makers, philosophers, sociologists and cognitive scientists. The booklet preface writers declare that ‘the result's a well-balanced number of top of the range papers that truly should be referred to as consultant of the sphere on the moment’. I do consider them." (Paolo Turrini, JASSS, February, 2007)

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Extra info for Coordination, Organizations, Institutions, and Norms in Multi-Agent Systems: AAMAS 2005 International Workshops on Agents, Norms and Institutions for Regulated Multi-Agent Systems, ANIREM 2005, and Organizations in Multi-Agent Systems, OOOP 2005, Utrecht,

Example text

For example, a trace can be obtained from log-files of a company. If an empirical trace is given informally, the first step is to formalize it (by hand), using formal state ontologies. , automatically) the formal representation into one based on ontologies used in the organization model. For the trace that has been generated by simulation, translation into the right formal format can be automated as an interface between the simulation environment and the checking environment. Once such a trace is in the right formal form, it is possible to verify dynamic properties of the organization (including structural properties), using dedicated checking software.

In our case study, we particularly concentrate on the structure and functioning of the OP (see Fig. 3), part of the TC. L. van den Broek et al. Table 3. Role names, abbreviations, and descriptions for the organizational model in the case study Role name Transport Company Customer Interaction Abbreviation TC CI Strategy and Tactical Department ST Custom Relations Department Operational Department Transport Company Representative Customer CR OP TCR C Sales Person SP Load Manager LM Fleet Manager FM Driver Environment D Env Description Provides logistic services to customers Identifies interaction rules between a customer and the transport company Performs analysis and planning of company activities; considers complaints from customers; analyses the satisfaction level of a customer by means of surveys and questionnaires Handles requests from customers Responsible for direct fulfillment of the order from a customer Mediator role between a customer and the transport company Generates an order for the transport company; sends inquiries about the delivery status Assigns an order to a certain load manager, based on the type and the region of a delivery Assigns orders to suitable trucks and available drivers; assigns fleet managers to drivers; provides CR department with up-to-date information about delivery; provides a driver with instructions in case of a severe problem; informs CR department about possible delays with delivery Keeps constant contact with the assigned drivers; updates automatic support system with actual data on the delivery status; provides consultations for drivers in case of minor problems in transit Delivers goods; informs a superior fleet manager about the delivery status; interacts (by means of observations and actions) with the conceptualized part of the environment Represents the conceptualized environment; in this case study only a driver interacts with it The static aspects of the considered organization have been formally described in the organization structure specification.

MIT Press (1997) 20. : Institutions and organizations. 2nd ed. SAGE Publications, Thousand Oaks London New Delhi (2001) 21. : A coordination framework based on the Sociology of the Organized Action. Lecture Notes in Computer Science [in the same volume] 22. , Jennings, N. : Developing multiagent systems: the Gaia Methodology. O. nl Abstract. Collaboration environments impose high demands on humans and artificial systems. Especially during critical tasks team members, including humans, artificial systems and other (sub-) teams, require support to guarantee their continued effectiveness.

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