Society-Centered Design for Socially Embedded Multiagent Systems

Ishida, Toru

doi:10.1007/978-3-540-30104-2_2

Cited by 8 publications

(4 citation statements)

References 26 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Q is suitable for describing complex social interactions [8,9]. Q scenarios foster the emergence of dialogs between agent designers (computing professionals) and application designers (scenario writers) [10]. The computational model behind Q scenarios is an extended finite state automaton, which is commonly used for describing communication protocols.…”

Section: Scenario Descriptionmentioning

confidence: 99%

Participatory Simulation Environment gumonji/Q: A Network Game Empowered by Agents

Yamane

Sawada

Hattori

et al. 2009

Principles of Practice in Multi-Agent Systems

Self Cite

View full text Add to dashboard Cite

Abstract. Network games are attracting attention as simulation platforms for social experiments because of their rich visualization performance and scalability. Our objective in this study is to develop a participatory simulation platform on a network game. Unlike non player characters (NPCs) in network games, agents in a participatory multiagent-based simulation (PMAS) should behave as real-world humans according to behavior models. We developed a novel networked participatory simulation platform called gumonji/Q by integrating scenario description language Q with the network game gumonji. This paper details the implementation of gumonji/Q. In order to connect Q and gumonji, we implement communication sub-components that realize TCP/IP communication between them, and a scenario translator to convert a request from Q into a sequence of operators. This makes it possible for the gumonji simulator to deal with human-controlled avatars and Q-controlled agents in a unified way.

show abstract

Section: Scenario Descriptionmentioning

confidence: 99%

Participatory Simulation Environment gumonji/Q: A Network Game Empowered by Agents

Yamane

Sawada

Hattori

et al. 2009

Principles of Practice in Multi-Agent Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Based on the framework of "Society-centered Design" [12], we have created methods to simulate the emergency guidance system on the platform. The platform is useful for constructing a simulated collaborative guidance as well as executing it.…”

Section: Social Interaction Platformmentioning

confidence: 99%

Designing Emergency Guidance in a Social Interaction Platform

Nakanishi

Ishida

2005

Massively Multi-Agent Systems I

Self Cite

View full text Add to dashboard Cite

Abstract. Future computing systems interact with a large number of users moving around buildings and streets. In this paper, we propose an example of such systems and how to evaluate ubicomp systems equipped with a large-scale physical environment that includes a large number of people inside. In our emergency guidance system, off-site guiding staff monitors a crowded large-scale public space to understand its situation, and instruct on-site guiding staff how to guide crowds effectively. Our system tracks and synthesizes the public space to enable the off-site staff to grasp it, and support communication between the on-site and the off-site staffs. Because it is not affordable to use the physical public space and a lot of human subjects to evaluate the system, we used our social interaction platform to simulate our guidance system. We could successfully construct simulations, in which the crowds are replaced with social agents in the virtual public space.

show abstract

“…Unfortunately, cost and safety concerns preclude such experiments from being performed on a realistic scale. The solution is the augmented experiment approach; multiagent simulations are combined with small-scale experiments in the real world [5] [6].…”

Section: Introductionmentioning

confidence: 99%