By Shu-Heng Chen (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Shingo Takahashi Ph.D., Hiroshi Deguchi Ph.D. (eds.)
Agent-based modeling/simulation is an emergent method of the research of social and monetary platforms. It presents a bottom-up experimental technique to be utilized to social sciences equivalent to economics, administration, sociology, and politics in addition to a few engineering fields facing social actions. This e-book comprises chosen papers provided on the 5th foreign Workshop on Agent-Based methods in monetary and Social advanced structures held in Tokyo in 2007. It includes invited papers given because the plenary and invited talks within the workshop and 21 papers awarded within the six normal classes: association and administration; basics of Agent-Based and Evolutionary ways; construction, prone and concrete platforms; Agent-Based ways to Social structures; and industry and Economics I and II. The learn offered right here exhibits the state-of-the-art during this speedily becoming field.
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Additional info for Agent-Based Approaches in Economic and Social Complex Systems V: Post-Proceedings of The AESCS International Workshop 2007
This algorithm merely makes the agent select the most preferred A segment. Namely, each agent independently visits with unconscious of the others and theme park information aggregated from whole agents' behavior. This algorithm might represent no-coordination case. Congestion-AvoidanceAlgorithm(CA) This algorithm utilizes an alternative way to choose the destination segment for it of algorithm G. This algorithm chooses the unvisited attraction whose expected wait time wi is lowest value among the unvisited A segments.
Attractions, roads, plazas, entrances, and exits. The software agent represents a visitor to the theme park, and it has individual preferences regarding each attraction. The objective of the theme park problem is to develop an algorithm that dynamically coordinates agents' visiting behavior in order to reduce congestion and increase the individual visitor's satisfactions. In other words, the theme park problem is a dynamic coordination problem which needs to coordinate many individual behaviors and to optimize individual and social satisfaction by using distributed information.
Measures qi by observing each attraction's condition, ci,ck,sti, and st~ are given by the theme park setting. For the theme park problem, four kinds of coordination algorithms are prepared in this study. Algorithm G and CA are suggested by the previous research, and Algorithm PE and CE are suggested by this research to increase the efficiency and the versatility. Each agent always follows the information provided by these algorithms. Greedy Algorithm(G) 1. If the destination of the agent Aj is not determined or the agent Aj reaches the destination, this algorithm chooses the unvisited attraction whose preference is highest value among the unvisited attraction segments.