The general question addressed in this book qHow can human organizational principles be used for multi-agent architectures?q is answered by an exploration of the possibilities to design multi-agent systems as artificial organizations. Key topics of this book: - a framework for multi-agent system design, based on human organizational notions and principles for distributed intelligent systems design - qCoordination mechanismsq in the form of qProblem Solving Methodsq, which can assist qManagersq and agent engineers in reasoning about coordination - the qFive Capabilities (5C) modelq which is a conceptual framework bases on a generalization of typical agent intelligence competences, such as qautonomyq, qinteractionq, qpro-activenessq and qreactivenessq - a multi-agent architecture capable of (semi)automatic reuse of Problem Solving Methods - qOntology-based communicationq, in which the meaning and intention of message contents in agent communication is specified in qmessage content ontologiesq.Two examples of control flow diagrams can be found in Figure 2.6 (p. ... The problem is that the planner does not know whether a product is in the stock of a store and what the costs are to retrieve the ... The system has to make use of legacy systems, because the stores have already computational systems (back offices) that ... There are four technical activities: ORDERING, PLANNING, PRODUCING and TRANSPORTING, which are identified in the activity diagram as swimlanes.
|Title||:||Organizational Principles for Multi-Agent Architectures|
|Author||:||Chris van Aart|
|Publisher||:||Springer Science & Business Media - 2005|