Authors:
Giovanni Sileno
;
Alexander Boer
and
Tom van Engers
Affiliation:
University of Amsterdam, Netherlands
Keyword(s):
Agent-roles, Scenario-based Modeling, Social Systems, Institutions, Story Animation, Narratives.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Ambient Intelligence
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Cognitive Systems
;
Computational Intelligence
;
Enterprise Information Systems
;
Evolutionary Computing
;
Information Systems Analysis and Specification
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Model-Based Reasoning
;
Operational Research
;
Programming Environments and Languages
;
Simulation
;
Soft Computing
;
Symbolic Systems
Abstract:
The paper introduces elements of a methodology for the acquisition of descriptions of social scenarios (e.g. cases) and for their synthesis to agent-based models. It proceeds along three steps. First, the case is analyzed at signal layer, i.e. the messages exchanged between actors. Second, the signal layer is enriched with implicit actions, intentions, and conditions necessary for the story to occur. This elicitation is based on elements provided with the story, common-sense, expert knowledge and direct interaction with the narrator. Third, the
resulting scenario representation is synthesized as agent programs. These scripts correspond to descriptions of agent-roles observed in that social setting.