A multi-agent architecture for geosimulation of moving agents
Authored by Ali Asghar Alesheikh, Mohammad H Vahidnia, Seyed Kazem Alavipanah
Date Published: 2015
DOI: 10.1007/s10109-015-0218-2
Sponsors:
Iran’s National Elites Foundation
Platforms:
No platforms listed
Model Documentation:
UML
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
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.
Tags
Simulation
environment
Land-use
systems
decision-support
representation
Framework