By Chris van Aart
The common query addressed during this ebook "How can human organizational ideas be used for multi-agent architectures?" is spoke back by means of an exploration of the probabilities to layout multi-agent platforms as man made organizations.
Key themes of this book:
- a framework for multi-agent method layout, in line with human organizational notions and rules for allotted clever platforms design
- "Coordination mechanisms" within the kind of "Problem fixing Methods", that could support "Managers" and agent engineers in reasoning approximately coordination
- the "Five services (5C) version" that is a conceptual framework bases on a generalization of general agent intelligence competences, reminiscent of "autonomy", "interaction", "pro-activeness" and "reactiveness"
- a multi-agent structure able to (semi)automatic reuse of challenge fixing Methods
- "Ontology-based communication", within which the which means and purpose of message contents in agent communique is laid out in "message content material ontologies".
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Extra info for Organizational Principles for Multi-Agent Architectures
E. e. customer reason about products, stores about stocks, couriers about trips and the planner about supply chains), we choose to allocate tasks to Operators in a ﬁxed manner. This means that allocation decisions are made at design time. Another approach is making allocation decisions at run time, meaning that agents have to 26 Chapter 2. Agent Organization Framework decide what agents perform what tasks. Several techniques are reported including market mechanisms, planning and voting [Bond and Gasser, 1988].
G. state and locations) about other agents. These activities could lead to overloading the network in which the agents operate. Furthermore, these activities could be more demanding than the goals the agents are supposed to achieve. In explicit coordination, there is an explicit “Manager” and “Operator” role, where Managers and Operators agents explicitly communicate information related to coordination. For example, there could be agents that control other agents by sending them instructions. e.
158) for the use of message content ontologies. 5. 11, the agent has to have knowledge about how to handle messages. 4). 10. The concepts AgentActions, such as CallForProposal, Propose and AcceptProposal are used to give intentions to messages. Every AgentAction is connected to one or more processing rules. For example, a processing rule for the agent PlannerAgent can start the job Planning after receiving a message of the type R EQUEST. The job planning will produce a set of outgoing messages and change the internal state of the agent, including new message templates.
Organizational Principles for Multi-Agent Architectures by Chris van Aart