A Multi Agent Based Human Behaviour Modelling Approach to Enterprise Simulation

Fine grained behavioural models of humans in a context, such as associates in an organization or a consumer group may allow us to both better understand existing behaviour as well as what would happen given various situations. We have been working on a behaviour compositional approach to this problem which creates realistic agent behaviour models that when run as a simulation allows us to understand the dynamics of how various behavioural characteristics impact one or more outcome metrics of interest. The compositional approach is founded on a repository of fine grained behavioural relations and elements that have been mined from ongoing and past research in the behavioural sciences as well as data obtained through field studies. The repository, the compositional system and the simulation system are part of an architecture we are developing called the Behaviour Analysis Framework. We demonstrate our approach by showing how we can create a behavioural model of specific aspects of a support team in an enterprise. The goal of our model is to study how individual behavioural dimensions such as emotion and stress impact the macro level outcome metrics of absenteeism and productivity. We use an agent based simulation to implement our behavioural model. We present some experimentation and results obtained from this simulation. Our simulation was able to reproduce various realworld phenomenon such as how absenteeism triggers more absenteeism and slow recovery from workload spikes.