An information-based adaptive strategy for resource exploitation in competitive scenarios
Boschetti, Fabio and Brede, Markus (2009) An information-based adaptive strategy for resource exploitation in competitive scenarios. Technological Forecasting and Social Change, 76, (4), 525-532. (doi:10.1016/j.techfore.2008.05.005).
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Given an exploitation problem, in which a number of agents compete for a limited renewable resource, the optimal harvesting strategy depends on the ratio between resource availability and exploitation effort. For scarce resource a purely competitive, greedy strategy outperforms a more collaborative approach based on the Collective Intelligence, while for more abundant resource the opposite holds. The rationale for this behaviour lies in the amount of information each strategy is able to provide and a combined strategy is possible according to which agents choose dynamically the most informative strategy according to a minimum entropy criterion. This approach, which provides best performance for both under and over-exploited scenarios, can be used to monitor the resource status for management purposes and is effective in both centralised and decentralised decision making.
|Digital Object Identifier (DOI):||doi:10.1016/j.techfore.2008.05.005|
|Keywords:||resource management, collective intelligence, sustainability, agent-based model, game theory|
|Subjects:||G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||26 Sep 2011 16:02|
|Last Modified:||31 Mar 2016 14:22|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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