Toward a New Principle of Agent Engineering in Multiagent Systems: Computational Equivalence

Agent-based Methodology (ABM) is becoming indispensable for the inter-disciplinary study of social and economic complex adaptive systems. The essence of ABM lies in the notion of autonomous agents whose behavior may evolve endogenously and can generate and mimic the corresponding complex system dynamics that the ABM is studying. Over the past decade, many computational intelligence (CI) methods have been applied to the design of autonomous agents, in particular, their adaptive scheme. This design issue is non-trivial since the chosen adaptive schemes usually have great impact on the generated system dynamics. Robert Lucas, one of the most influential modern economic theorists, has suggested using laboratories with human agents, also known as Experimental Economics, to help solving the design issue. While this is a promising approach, laboratories used in the current experimental economics is not computationally equipped to meet the demands of the task. This paper attempts to materialize Lucas’ suggestion by establishing a laboratory where human subjects are equipped with the computational power that satisfies the computational equivalence conditions.