A Data-driven Agent Based Simulation platform for Early Health Economics Device Evaluation

Cloud manufacturing is a new manufacturing paradigm which creates an open environment for transactions among the enterprises. Research on transaction modes and regularities in a cloud manufacturing environment is important for promoting the applications of cloud manufacturing. To this end, we design and implement a simulation platform according to the typical transaction processes of enterprises in the cloud manufacturing environment. In the simulation platform, enterprises are encapsulated into Service Agents, and thus the activities of service agents can be used to describe enterprise behaviors. By defining different rules, simulations for different business models can be conducted. Detailed descriptions of the platform architecture, functions, and key technologies are presented. The feasibility of the simulation platform is verified through a case study.

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Multi-agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis

Agents and Multi-Agent Systems for Health Care - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70887-4_8 ◽

2017 ◽

pp. 131-153

Author(s):

Papa Alioune Cisse ◽

Jean Marie Dembele ◽

Moussa Lo ◽

Christophe Cambier

Keyword(s):

Simulation Platform ◽

Multi Agent Systems ◽

Agent Based Simulation ◽

Agent Based ◽

Agent Systems ◽

Multi Agent

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Multi-agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis

Communications in Computer and Information Science - Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems ◽

10.1007/978-3-319-60285-1_13 ◽

2017 ◽

pp. 157-168 ◽

Cited By ~ 2

Author(s):

Papa Alioune Cisse ◽

Jean Marie Dembele ◽

Moussa Lo ◽

Christophe Cambier

Keyword(s):

Simulation Platform ◽

Multi Agent Systems ◽

Agent Based Simulation ◽

Agent Based ◽

Agent Systems ◽

Multi Agent

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How to Mitigate Theme Park Crowding? A Prospective Coordination Approach

Mathematical Problems in Engineering ◽

10.1155/2018/3138696 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 3

Author(s):

Yuguo Yuan ◽

Weimin Zheng

Keyword(s):

Temporal Distribution ◽

Theme Park ◽

Simulation Platform ◽

Theme Parks ◽

Agent Based Simulation ◽

Agent Based ◽

Crowd Management ◽

Key Factor

Crowding is a key factor in tourists’ experience in theme parks, and mitigating crowding makes parks more competitive. This study examines how to effectively mitigate crowding in theme parks. First, a Markov-based method is developed to predict the spatial-temporal distribution of tourists in the park. Then, a prospective coordination approach based on the tourist distribution prediction is proposed. To evaluate the performance of this approach, an experiment is constructed using an agent-based simulation platform. The results indicate that the proposed method significantly outperforms existing methods. Furthermore, we conduct two experiments and, based on the results, offer several recommendations for crowd management.

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