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

This booklet constitutes the completely refereed post-proceedings of the overseas Workshop on brokers, Norms and associations for Regulated Multiagent platforms, ANIREM 2005, and the overseas Workshop on organisations in Multi-Agent structures, OOOP 2005, held in Utrecht, The Netherlands in July 2005 as an linked occasion of AAMAS 2005.

This quantity is the 1st in a chain focussing on matters in Coordination, organisations, associations and Norms (COIN) in multi-agent platforms. The 17 papers during this quantity are prolonged, revised models of the easiest papers provided on the ANIREM and the OOOP workshops at AAMAS 2005 that have been rigorously chosen in the course of rounds of reviewing and development. The papers from the 2 workshops were re-grouped round the following subject matters: modelling, studying and programming corporations, modelling and reading associations, modelling normative designs, in addition to review and regulation.

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A state for ontology Ont is an assignment of truth-values to the set At(Ont) of ground atoms expressed in terms of Ont. The set of all possible states for state ontology Ont is denoted by STATES(Ont). A state property is defined by a formula over a state ontology. Role or environment states are related to state properties via the formally defined satisfaction relation |=, comparable to the Holds-predicate in situation calculus: state(γ, t, output(r)) |= p, which denotes that state property p holds in trace γ at time t in the output state of role r.

2. Representation of (a) the Transport Company (TC) and (b) the Customer Interaction role (CI) at abstraction level 2 Fig. 3. Representation of the operational department at abstraction level 3 The corresponding dynamic properties may be specified at abstraction level 0 and can be further refined into basic properties at lower abstraction levels. 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.

On a ‘need to know basis’, to prevent both information overload and a higher likelihood of timely arrival of task-relevant information. In [18] an information distribution system is proposed which is capable of providing an actor or an agent with task-relevant information. With such a system in place, necessary information and/or knowledge are reported back and the team’s strategy is adapted accordingly. In addition, sustaining team effectiveness ultimately implies measuring the effectiveness of the entire organization involved in the crisis resolution.

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