Authors:
Inna Shvartsman
;
Kuldar Taveter
and
Merik Meriste
Affiliation:
Tallinn University of Technology, Estonia
Keyword(s):
Agent-oriented Modelling, Socio-technical Systems, Simulations.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
Training is crucial for improvement of the capabilities of both military and non-military personnel. In this paper, we argue for the need of conceptual modelling for the creation of training scenarios. This research proposes a particular method for developing training scenarios for complex domains based on agent–oriented modelling. The advantage of agent-oriented modelling is that it enables to describe a problem domain from three balanced and interrelated aspects – interaction, information, and behaviour, and at three abstraction layers: analysis, design, and simulation. Thus, we can obtain agent-directed simulations for elaborating selected aspects of emergent behaviour to support development of practical training scenarios in a partially known environment.