A multi-agent architecture for geosimulation of moving agents

In this paper, a novel architecture is proposed in which an axiomatic derivation system in the form of first-order logic facilitates declarative explanation and spatial reasoning. Simulation of environmental perception and interaction between autonomous agents is designed with a geographic belief–de...

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Bibliographic Details
Published in:Journal of geographical systems 2015-10, Vol.17 (4), p.353-390
Main Authors: Vahidnia, Mohammad H., Alesheikh, Ali A., Alavipanah, Seyed Kazem
Format: Article
Language:English
Subjects:
Analysis
Architecture
Best practice
Cognition & reasoning
Collaboration
Computer Appl. in Social and Behavioral Sciences
Computer simulation
Decision theory
Derivation
Disaster management
Econometrics
Economics
Economics and Finance
Emergency preparedness
Environmental perception
Game theory
Geographic information systems
Geographical Information Systems/Cartography
Geospatial data
Intelligence
Landscape/Regional and Urban Planning
Original Article
Perception
Planning
Regional/Spatial Science
Simulation
Software
Studies
Tasks
Urban Economics
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Summary:In this paper, a novel architecture is proposed in which an axiomatic derivation system in the form of first-order logic facilitates declarative explanation and spatial reasoning. Simulation of environmental perception and interaction between autonomous agents is designed with a geographic belief–desire–intention and a request–inform–query model. The architecture has a complementary quantitative component that supports collaborative planning based on the concept of equilibrium and game theory. This new architecture presents a departure from current best practices geographic agent-based modelling. Implementation tasks are discussed in some detail, as well as scenarios for fleet management and disaster management.
ISSN:1435-5930
1435-5949
DOI:10.1007/s10109-015-0218-2