InterJournal Complex Systems, 543
Status: Submitted
Manuscript Number: [543]
Submission Date: 20502
Evolution of Labor Division For Cooperative Agents With Learning Ability
Author(s): Zhangang Han

Subject(s): CX.66, CX.07, CX.13, CX.14, CX.16

Category: Brief Article

Abstract:

This paper studies the dynamics of how cooperation in a multi-agent system is evolved. The evolution of self-interested individuals may lead to collective behaviors due to mutual interactions. An evolution process of specialization is simulated by introducing agents that each can take two kinds of tasks. Agents trade through a market. Capabilities of agents can be adjusted through learning-by-doing. Simulation results show that agents tend to specialize on certain conditions. Specialization increases productivity. Transaction cost is crucial to labor division. While the system evolves, entropy decreases.

Retrieve Manuscript
Submit referee report/comment


Public Comments: