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By Kolodziej S.

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The autoPilot agent might reason about the plane’s current location based on those beliefs and take appropriate actions. For example, if the autoPilot agent frequently receives course adjustment requests from a satellite agent, while the terrain agent and on-board sensors do not alert the autoPilot agent of its incorrect path, it may conclude that the satellite agent is an enemy trying to falsify the autoPilot agent. As is clear from the preceding discussion, the autoPilot agent may have to reason with uncertainty.

Action Policy Messages In Security Messages Out Meta-Kn Action Base Function Calls Integrity Constr. AGENT Action Constr. 2 Basic Architecture of IMPACT Agents. N E T W O R K 34 Chapter 2 IMPACT Architecture In order to illustrate the agent architecture described thus far, we now briefly revisit the STORE, CFIT, and CHAIN examples, and illustrate (briefly) how one of the agents in each of these scenarios may be captured within our agent architecture. , these examples will be informally described in English.

Message Manager: Each agent has an associated module that manages incoming and outgoing messages. 32 Chapter 2 IMPACT Architecture Actions, Constraints, and Action Policies: Each agent has a set of actions that it can physically perform. The actions performed by an agent are capable of changing the data structures managed by the agent and/or changing the message queue associated with another agent (if the action is to send a message to another agent). Each agent has an associated action policy that states the conditions under which the agent • may, • may not, or • must do some actions.

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