Incorporating Inertia Into Multi-Agent Systems
arXiv:physics/0510075 · doi:10.1103/PhysRevE.73.036106
Abstract
We consider a model that demonstrates the crucial role of inertia and stickiness in multi-agent systems, based on the Minority Game (MG). The inertia of an agent is introduced into the game model by allowing agents to apply hypothesis testing when choosing their best strategies, thereby reducing their reactivity towards changes in the environment. We find by extensive numerical simulations that our game shows a remarkable improvement of global cooperation throughout the whole phase space. In other words, the maladaptation behavior due to over-reaction of agents is removed. These agents are also shown to be advantageous over the standard ones, which are sometimes too sensitive to attain a fair success rate. We also calculate analytically the minimum amount of inertia needed to achieve the above improvement. Our calculation is consistent with the numerical simulation results. Finally, we review some related works in the field that show similar behaviors and compare them to our work.
extensively revised, 8 pages, 10 figures in revtex4
References in corpus (13)
- Emergence of Cooperation and Organization in an Evolutionary Game
- On the Minority Game : Analytical and Numerical Studies
- Pareto Law in a Kinetic Model of Market with Random Saving Propensity
- Statistical mechanics of systems with heterogeneous agents: Minority Games
- Phase Transition and Symmetry Breaking in the Minority Game
- Relevance of memory in Minority Games
- Crowd-anticrowd theory of the Minority Game
- Generating Functional Analysis of the Dynamics of the Batch Minority Game with Random External Information
- Analytic computation of the Instantaneous Normal Modes spectrum in low density liquids
- Crowd-Anticrowd Theory of Multi-Agent Market Games
- Matching games with partial information
- Dynamical Solution of the On-Line Minority Game
- Memory is relevant in the symmetric phase of the minority game