COBRA fundamentals and programming
COBRA fundamentals and programming
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Modeling a virtual food court using DECAF
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
An Approach to Programmable RDF-Model Transformations
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Multi-Agent Simulation of Collaborative Strategies in a Supply Chain
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
MASON: A Multiagent Simulation Environment
Simulation
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Model Driven Architecture and Ontology Development
Model Driven Architecture and Ontology Development
Ontologies for modeling and simulation: issues and approaches
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation and the semantic web
WSC '05 Proceedings of the 37th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
Using ontologies for simulation modeling
Proceedings of the 38th conference on Winter simulation
Ontology based representations of simulation models following the process interaction world view
Proceedings of the 38th conference on Winter simulation
Multi-Agent-Based simulation: why bother?
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Visual modeling for complex agent-based simulation systems
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Hi-index | 0.00 |
The article advocates application of domain-specific ontologies for resolution of difficulties in design and integration of multi-agent simulation systems in microeconomics. In this context integration mostly means run-time combination of heterogeneous components for large-scale simulation experiments, but also it is related with ability to re-use the same model in different modeling frameworks. Illustrating major principles of the proposed approach, authors describe a variant of microeconomics ontology, and major features of the modeling tool, facilitating ontology-based design and code generation for a distributed agent-based modeling environment. Obtained results speed up development of economic simulations and form a foundation of further research in model's composability.