Name
Abstract | ||
|---|---|---|
Simulations of real world scenarios often require considerably large numbers of agents. With increasing level of detail and resolution in the underlying models machine limitations both in the aspect of memory and computing power are reached. Even more when additional features like reasoning mechanisms of semantic technologies are used as in the AGADE framework where we have extended the principal BDI paradigm with an interface to OWL ontologies. We have observed that the extensive use of ontologies results in high memory consumption due to the large number of String objects used in the reasoning process and caching mechanisms of the OWL API. We address this issue by running simulations in a highly distributed environment. In this paper we demonstrate how we enabled AGADE to be run in such an environment and the necessary architectural modifications. Furthermore, we discuss the potential size of simulations that can be run in such a setting. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-39324-7_25 | ADVANCES IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS: THE PAAMS COLLECTION |
Keywords | Field | DocType |
Multi-agent system,BDI,OWL ontology,Market simulation,Distributed simulation | Ontology (information science),Ontology,Semantic technology,Distributed Computing Environment,Level of detail,High memory,Computer science,Theoretical computer science,Distributed computing,Scalability | Conference |
Volume | ISSN | Citations |
9662 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Farrenkopf | 1 | 5 | 5.25 |
| Michael Guckert | 2 | 17 | 6.97 |
| neil b urquhart | 3 | 83 | 14.70 |
| S. Wells | 4 | 14 | 2.41 |