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All agents associated with a macro action may be interpreted as playing an informing role to the evaluating agent associated with the sub-topic sub-goal agent.
(iii Global Goals Agent.
To fulfill a goal, the agent should execute a sequence of services.
In order to navigate toward the goal, the agent needs to "imagine" available moves at the current location and select one of them, using the acquired spatial knowledge.
The theory of rational choice assumes that in order to reach a goal, an agent needs to scrutinize and evaluate available alternative actions against possible outcomes and a related utility function.
These agents are autonomous and goal driven agents that cooperatively assist different users to locate and retrieve information from distributed resources.
While the whole MAS is designed to work collectively towards the global goals, this agent strives to enforce certain global goals policies.
"There are mathematical theories that prove a perfectly rational goal-achieving agent has no motivation to change its own goals". .
In cases of multi-agent systems composed by a large density of individuals as proposed in [34], the main goal of agents can be confused with the constant evasion of multiple individuals and the proposed approach would not work properly.
Fig. 1 Goal-based agent.
The directions of the planner matcher to achieve a sub-goal represent agent's intentions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com