Authors:
Taiki Enomoto
;
Gou Hatakeyama
;
Masanori Akiyoshi
and
Norihisa Komoda
Affiliation:
Osaka University, Japan
Keyword(s):
Multi agent simulation, Description of events, Typical action patterns, Event flow.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Complexity
;
Distributed and Mobile Software Systems
;
Engineering Information System
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Information Systems Analysis and Specification
;
Intelligent Problem Solving
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Programming Languages
;
Software Engineering
;
Symbolic Systems
;
User Modeling
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
Recently, there are various proposals on tool for multi-agent simulation. However, in such simulation tools, analysts who do not have programming skill spend a lot of time to develop programs because notation of simulation models is not defined sufficiently and programming language is varied on tools. To solve this problem, a programming environment that defines the notation of simulation model based on graph representation is proposed. However, in this environment, we still need to write programs about a flow of event and contents of agents’ action and effect. So, we propose a description method for multi-agent simulation model utilizing typical action patterns of agents. In this method, users write about designs of contents of event based on typical action patterns which are “interrogative (4W1H) and verbs”, and designs of a flow of event. In this paper, we executed experiments that compare time needed for examinees to generate programs by a conventional method and our programming
environment. Experimental result shows the time to generate programs by utilizing our programming environment less than that by utilizing a conventional one.
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