Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Adaptive agents in a persistent shout double auction
Proceedings of the first international conference on Information and computation economies
Commodity trading using an agent-based iterated double auction
Proceedings of the third annual conference on Autonomous Agents
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
An agent-based model for secondary use of radio spectrum
An agent-based model for secondary use of radio spectrum
IEEE Journal on Selected Areas in Communications
An analytic research on secondary-spectrum trading mechanisms based on technical and market changes
Computer Networks: The International Journal of Computer and Telecommunications Networking
Spatio-temporal spectrum modeling: Taxonomy and economic evaluation of context acquisition
Telecommunications Policy
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Wireless communication relies on access to the radiocommunications spectrum. A series of high-priced spectrum auctions has indicated that there is a scarcity or an inefficient use of spectrum resources. This paper presents an Agent-based Computational Economics (ACE) model designed to study the secondary use spectrum market, which improves spectrum usage by allowing incumbent spectrum users to lease unused portions of their assigned spectrum to third parties who could put them to a better use. In this paper, we are particularly interested in the conditions under which such a market is likely to emerge.