Agents' Resources Allocation and Growth Modeling for Social and Organizational Agent Simulations

Abstract

In this study, we propose an archetype model that describes the self-resources allocationbehavior of individual agents in social and organizational simulations, and examine the applications of themodel. In social and organizational simulations, agents choose their actions according to their ownobjectives or preferences. However, the agent's objective or preference variables are not always consistentwith the objective variables of the society or organization. The relationship between objectives andresources is also neither clear nor permanent. Then, for observing the long-term behavior of agents, itmay be interesting to consider flexible relationships in the agent's objective and resource variables as well.In this paper, we propose an archetype model that consists of variables with different properties related toconstraints and growth in the agent's self-resources. In this model, the agent's self-resource variables forma network of input-output relationships with each other, and change dynamically. We propose to applythis model into the simulation of human capital formation policies of a society or an organization and thebehavioral changes of internal agents in response to these policies, or to the gaming simulation forunderstanding the behavioral preferences of customers in asset formation education.