The Topicality of Agent-Based Modeling/Multi Agent Systems in Human Computer Interaction Research

Analytic-agent cyber dynamical systems analysis and design method for modeling spatio-temporal factors of malware propagation in wireless sensor networks

“…Performing comparative studies may warrant the specification of the similarity/difference in the solutions of the classes/compartments at the different equilibriums the underlining model and the new model. For instance at the disease-free equilibrium the solutions derived in the two works [ 12 , 13 ] are similar, but difference is seen at the endemic equilibrium where the parameters for distribution density and transmission range was part of the solutions.…”

“…To explain the steps of the new method, two hypothetical cases studies are used for analytical and agent modeling. On analytical modeling, a hypothetical case study of a wireless sensor network (WSN) model adapted from [ 12 ] and modified to include density and transmission range [ 13 ], is used. Then for agent modeling, we will use a case of representing the essence of the model in [ 12 , 13 ], with even more WSN features.…”

“…In Nwokoye et al [ 13 ], we represent worm attack in wireless sensor network using the Susceptible–Exposed–Infectious–Recovered–Susceptible with a Vaccination class (SEIRS-V); its parameters are presented in Table 1 . The total population N (t) represents the nodes in the Wireless Sensor Network which is subdivided into Susceptible, Exposed (latent), Infectious (contagious), Recovered (temporarily immune), Vaccinated (immunized) denoted by S(t), E(t), I(t), R(t) and V(t).…”

“…The analyst should establish the parameters/variable that needs to be either added/removed in order to initiate the comparative study. Specifically, the authors of [ 13 ] noted that the effective contact rate in a real world WSN can be beyond (as presented in [ 12 ]), if the density and transmission range is considered. This observation motivated the inclusion of in the schematic diagram for the flow of worms in sensor networks and in the formulated model (system of differential equations).…”

“…6 represents the dynamical behaviour of Infectious class against Exposed class with respect to varying σ and . In addition validation can be performed by comparing the results of our hypothetical case study [ 13 ] with the results of the model from which it was adapted [ 12 ].

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