Multi-agent Social Simulation for Social Service Design

2019 ◽  
pp. 66-80 ◽  
Author(s):  
Itsuki Noda
Keyword(s):  
Social Service ◽  
Service Design ◽  
Social Simulation ◽  
Multi Agent

Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision Making

2012 ◽  
pp. 57-74
Author(s):  
Takeshi Takenaka ◽  
Kousuke Fujita ◽  
Nariaki Nishino ◽  
Tsukasa Ishigaki ◽  
Yoichi Motomura
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Service Design ◽  
Research Area ◽  
Service Industries ◽  
Agent Based ◽  
Movie Theaters ◽  
Retail Business ◽  
Agent Simulation ◽  
Multi Agent

Science and technology are expected to support actual service provision and to create new services to promote service industries’ productivity. However, those problems might not be solved solely in a certain research area. This paper describes that it is necessary to establish transdisciplinary approaches to service design in consideration of consumers’ values and decision making. Recent research trends of services are overviewed. Then a research framework is proposed to integrate computer sciences, human sciences, and economic sciences. Three study examples of services are then presented. The first study is a multi-agent simulation of a cellular telephone market based on results of a psychological survey. The second presents a cognitive model constructed through integration of questionnaire data of a retail business and Bayesian network modeling. The third presents a pricing mechanism design for service facilities––movie theaters––using an economic experiment and agent-based simulation.

Transdisciplinary Approach to Service Design Based on Consumer's Value and Decision Making

2010 ◽  
Vol 1 (1) ◽  
pp. 58-75 ◽  
Author(s):  
Takeshi Takenaka ◽  
Kousuke Fujita ◽  
Nariaki Nishino ◽  
Tsukasa Ishigaki ◽  
Yoichi Motomura
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Service Design ◽  
Research Area ◽  
Service Industries ◽  
Agent Based ◽  
Movie Theaters ◽  
Retail Business ◽  
Agent Simulation ◽  
Multi Agent

Science and technology are expected to support actual service provision and to create new services to promote service industries’ productivity. However, those problems might not be solved solely in a certain research area. This paper describes that it is necessary to establish transdisciplinary approaches to service design in consideration of consumers’ values and decision making. Recent research trends of services are overviewed. Then a research framework is proposed to integrate computer sciences, human sciences, and economic sciences. Three study examples of services are then presented. The first study is a multi-agent simulation of a cellular telephone market based on results of a psychological survey. The second presents a cognitive model constructed through integration of questionnaire data of a retail business and Bayesian network modeling. The third presents a pricing mechanism design for service facilities––movie theaters––using an economic experiment and agent-based simulation.

Multi-Agent Social Simulation

2010 ◽  
pp. 703-729
Author(s):  
Itsuki Noda ◽  
Peter Stone ◽  
Tomohisa Yamashita ◽  
Koichi Kurumatani
Keyword(s):  
Social Simulation ◽  
Multi Agent

Social Simulation with Both Human Agents and Software Agents

2010 ◽  
pp. 95-117
Author(s):  
Shu-Heng Chen ◽  
Chung-Ching Tai ◽  
Tzai-Der Wang ◽  
Shu G. Wang
Keyword(s):  
Genetic Programming ◽  
Social Simulation ◽  
Trading Strategies ◽  
Agent Based ◽  
Learning Agents ◽  
Learning Capacity ◽  
Intellectual Abilities ◽  
Learning Capabilities ◽  
Human Experiments ◽  
Multi Agent

In this chapter, we will present agent-based simulations as well as human experiments in double auction markets. Our idea is to investigate the learning capabilities of human traders by studying learning agents constructed by Genetic Programming (GP), and the latter can further serve as a design platform in conducting human experiments. By manipulating the population size of GP traders, we attempt to characterize the innate heterogeneity in human being’s intellectual abilities. We find that GP traders are efficient in the sense that they can beat other trading strategies even with very limited learning capacity. A series of human experiments and multi-agent simulations are conducted and compared for an examination at the end of this chapter.

Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision Making

2010 ◽  
pp. 197-213 ◽  
Author(s):  
Takeshi Takenaka ◽  
Kousuke Fujita ◽  
Nariaki Nishino ◽  
Tsukasa Ishigaki ◽  
Yoichi Motomura
Keyword(s):  
Decision Making ◽  
Cognitive Model ◽  
Service Design ◽  
Research Area ◽  
Service Industries ◽  
Agent Based ◽  
Movie Theaters ◽  
Retail Business ◽  
Agent Simulation ◽  
Multi Agent

Science and technology are expected to support actual service provision and to create new services to promote service industries’ productivity. However, those problems might not be solved solely in a certain research area. This paper describes that it is necessary to establish transdisciplinary approaches to service design in consideration of consumers’ values and decision making. Recent research trends of services are overviewed. Then a research framework is proposed to integrate computer sciences, human sciences, and economic sciences. Three study examples of services are then presented. The first study is a multi-agent simulation of a cellular telephone market based on results of a psychological survey. The second presents a cognitive model constructed through integration of questionnaire data of a retail business and Bayesian network modeling. The third presents a pricing mechanism design for service facilities––movie theaters––using an economic experiment and agent-based simulation.

Social Simulation with Both Human Agents and Software Agents

2011 ◽  
pp. 867-888
Author(s):  
Shu-Heng Chen ◽  
Chung-Ching Tai ◽  
Tzai-Der Wang ◽  
Shu G. Wang
Keyword(s):  
Genetic Programming ◽  
Social Simulation ◽  
Trading Strategies ◽  
Agent Based ◽  
Learning Agents ◽  
Learning Capacity ◽  
Intellectual Abilities ◽  
Learning Capabilities ◽  
Human Experiments ◽  
Multi Agent

In this chapter, we will present agent-based simulations as well as human experiments in double auction markets. Our idea is to investigate the learning capabilities of human traders by studying learning agents constructed by Genetic Programming (GP), and the latter can further serve as a design platform in conducting human experiments. By manipulating the population size of GP traders, we attempt to characterize the innate heterogeneity in human being’s intellectual abilities. We find that GP traders are efficient in the sense that they can beat other trading strategies even with very limited learning capacity. A series of human experiments and multi-agent simulations are conducted and compared for an examination at the end of this chapter.

Mobile Social Service Design for Large-Scale Exhibition

2009 ◽  
pp. 72-81
Author(s):  
Huanglingzi Liu ◽  
Ying Liu ◽  
Wei Wang ◽  
Bin Wang
Keyword(s):  
Social Service ◽  
Large Scale ◽  
Service Design
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