Abstract
To understand various collective behaviors, we propose the multiplicity of interaction to each agent. In this study, we apply the asynchronous updating rule for each agent, which has a passive phase and an active phase. These two phases are determined by asynchronous update timing. Using the discrepancy between learning (passive) and recalling (active), agents in our model show a flexible and multiple collective behaviors such as searching, making signs and collective cognition. Noteworthy, although the territorial making behavior and the exploring are weak contradiction (because territories restricts their behavioral range, on the other hand, the exploring needs agents to spread all over the space), we can implement these two phenomena by one interaction rule. Our approach provides a new tool to understand the internal measurement, including such as self-organization, from the collective perspective.
