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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

Multi-resource Minority Games: Redefining the Game

verfasst von : Daniel Romero, Elissa Shinseki, S. M. Mahdi Seyednezhad, Ronaldo Menezes

Erschienen in: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

Verlag: Springer International Publishing

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Abstract

The minority game has been studied by the scientific community in Artificial Intelligence and Multi-Agent Systems as a model for resource allocation. This paper contributes to the accumulating scientific literature in minority games by investigating an area lacking in current research: the availability of multiple resources and the effect of parameters in their utilization. Even though there is a research topic called multi-resource minority game, we argue here that they are more like a “multi-option” minority game. Under a multi-resource scenario we investigate two issues: (i) strategy sharing and (ii) the effect of resource capacity to agent attendance, variance, and winning rate. Furthermore, we introduce a new criteria named resource usage that has not been studied in minority game research and captures how well a resource is used. We find that the use of a single strategy is not as effective as using different strategies when attempting to utilize resources simultaneously.

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Vorheriges Kapitel Strategic Development and Dynamic Models of Supply Chains: Search for Effective Model Constructions
Nächstes Kapitel Agent-Based Outsourcing Solution for Agency Service Management
Fußnoten
1
Assuming a resource capacity of around 50% of the population.
 
2
Only one process can occupy, hold or use a CPU (or a core of CPU in a multi-core CPU). So, when we talk about holding a CPU (or a core), we address the ready queue of the system’s processor. Sometimes, it is better for a process not to wait in a ready queue of a specific CPU, because it may take a long time and lead the process into a deadlock situation.
 
3
The first element of the strategy is taken into account corresponding to the situation where all previous outcomes of the game (or the recent ones in memory) should be zero (i.e. no agent chooses to use or go for the resource). Similarly, the last element represents the situation where all of the previous outcomes of the game is one (i.e. all agents choose to use the resource).
 
Literatur
1.
Moro, E.: The minority game: an introductory guide, arXiv preprint cond-mat/0402651 (2004)
2.
Shang, L., Wang, X.F.: Evolutionary minority game on complex networks. Phys. A Stat. Mech. Appl. 377(2), 616–624 (2007)MathSciNetCrossRef
3.
Arthur, W.B.: Inductive reasoning and bounded rationality. Am. Econ. Rev. 84(2), 406–411 (1994)
4.
Challet, D., Zhang, Y.-C.: Emergence of cooperation and organization in an evolutionary game. Phys. A Stat. Mech. Appl. 246(3), 407–418 (1997)CrossRef
5.
Kets, W., Voorneveld, M.: Congestion, equilibrium and learning: The minority game. Available at SSRN 1012271 (2007)
6.
Galstyan, A., Krishnamachari, B., Lerman, K.: Resource allocation and emergent coordination in wireless sensor networks (2004)
7.
Tanenbaum, A.S., Woodhull, A.S.: Operating Systems: Design and Implementation, vol. 2. Prentice-Hall, Englewood Cliffs (1987)
8.
Woodhull, A.S., Tanenbaum, A.S.: Operating systems design and implementation (1997)
9.
Huang, Z.-G., Zhang, J.-Q., Dong, J.-Q., Huang, L., Lai, Y.-C.: Emergence of grouping in multi-resource minority game dynamics. Sci. Rep. 2, 703 (2012)CrossRef
10.
Börner, K., Sanyal, S., Vespignani, A.: Network science. Ann. Rev. Inf. Sci. Technol. 41(1), 537–607 (2007)CrossRef
11.
Remondino, M., Cappellini, A.: Minority game with communication: an agent based model. In: Simulation in Industry (2004)
12.
13.
14.
Zhang, C., Wu, W., Huang, H., Yu, H.: Fair energy resource allocation by minority game algorithm for smart buildings, pp. 63–68 (2012)
15.
Shafique, M., Bauer, L., Ahmed, W., Henkel, J.: Minority-game-based resource allocation for run-time reconfigurable multi-core processors, pp. 1–6 (2011)
16.
Mähönen, P., Petrova, M.: Minority game for cognitive radios: cooperating without cooperation. Phys. Commun. 1(2), 94–102 (2008)CrossRef
17.
Catteeuw, D., Manderick, B.: Learning in minority games with multiple resources, vol. 5778, pp. 326–333 (2011)
18.
Tanenbaum, A.S., Van Steen, M.: Distributed Systems. Prentice-Hall, Englewood Cliffs (2007)MATH
Metadaten
Titel
Multi-resource Minority Games: Redefining the Game
verfasst von
Daniel Romero
Elissa Shinseki
S. M. Mahdi Seyednezhad
Ronaldo Menezes
Copyright-Jahr
2018
Buch
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

Print ISBN: 978-3-319-56990-1

Electronic ISBN: 978-3-319-56991-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-56991-8_15

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