In Section 3, we present two models of agent-based WSNs.
In detail, this paper identifies the possible architectural models of agent-based system, evaluates the identified architectural models using metrics and compares the architectural models based on evaluation results.
In the future work of SAFEPED, more intricate behavior models of agents will be included.
For example, behavioral economics [1] builds on cognitive and emotional models of agents, neuroeconomics [2] addresses the neurobiological basis of valuation of choices, and evolutionary economics [3] studies economies as a complex evolutionary system, composed of agents that adapt to endogenous patterns out of equilibrium regions.
Second, the theory is contextualist; and it aims to complement universalist models of agent-identification with contextualist and epistemological hypotheses about agent-tracking.
By contrast, typical universalist models of agent-identification have not proposed this kind of hypothesis because they do not include a model of processing sensitive to historical and sociocultural contexts.
In contrast to universalist models of agent-identification in philosophy and psychology, the novelty of the psycho-historical framework is the inclusion of an ontological component that refers to the historical ontology of the target of agent-identification behaviours.
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.
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.
