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AgentTest enables formal and strongly typed modelling of agent-based systems and their unit and agent testing.
To materialize this, the empirically evidenced individual awareness model has been extended by integrating a model of social capital and a model of agent's perception, to construct a multi-agent simulation model of a city scale ecosystem of public and private information units.
With these two ideas in mind, several models of agent interaction (social) and the internal activity cycles (individual) have been proposed with the aim of creating a multi-agent system for information personalization.
The general decision model of agent technology adoption has been explained in detail to provide a roadmap for managers and engineers in their movement toward multi-agent working environments.
These technologies are being developed to enhance campus security but could easily be extended to provide a better model of agent mobility and hence disease spread.
The model of agents' interactions in Eqs.
In the future work of SAFEPED, more intricate behavior models of agents will be included.
In Section 3, we present two models of agent-based WSNs.
Results are derived using a stochastic agent-based simulation model of agents' decision-making and interactions.
This transformation requires a prior modeling of agent-based web services composition using automata definitions.
The Belief-Desire-Intention model of agents (BDI) is concerned with the formal representation of practical reasoning involving action, intention, belief, will, deliberation, goal-driven modeling, etc.
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