Name
Abstract | ||
|---|---|---|
Agent-based modelling, a way to simulate complex systems comprised of autonomous and interacting agents, is perhaps one of the most promising developments in experiential learning. In this paper we present a business simulation where the marketplace is modelled as an evolving system of deliberative (consumer) agents acting as utility maximizers. Concretely, we describe the deliberative-based architecture of our consumer agents and its unique properties. Additionally, we present our preliminary results which suggest participants are better able to understand the simulation when provided with the unique information of the agent-based approach. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-12157-4_17 | GAMES AND LEARNING ALLIANCE |
Keywords | Field | DocType |
Beliefs Desires and Intentions (BDI) architecture, Agent-based computational economics, Economic theory of consumer behaviour, Neoclassical maximization theory | Experiential learning,Complex system,Evolving systems,Architecture,Consumer behaviour,Business simulation,Knowledge management,Agent-based computational economics,Marketing,Business | Conference |
Volume | ISSN | Citations |
8605 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Márcia Baptista | 1 | 0 | 0.34 |
| Carlos Martinho | 2 | 0 | 0.34 |
| Francisco Lima | 3 | 1 | 0.72 |
| Pedro Santos | 4 | 6 | 6.05 |
| Helmut Prendinger | 5 | 1600 | 140.67 |