ABM, Economic Modelling & Game Theory
|This work is inspired by our research in Complex System Science and aims to feed into our applications in Ecological Modelling. The aim is to search for harvesting strategies which are economically viable but also ecologically responsible.
- Boschetti F., 2011, Rationality, complexity and self-organisation, Emergence: Complexity and Organization, 13, 1 & 2, 133-145.
- Boschetti F., 2012, A computational model of a mental model used to reason about climate change, Environmental Science & Policy, 15, pp. 125-135, doi:10.1016/j.envsci.2011.09.006.
- Boschetti & Brede, 2010, Competitive scenarios, community responses
and organisational implications, Emergence: Complexity and Organization, 11(4), pp. 39-47.
- Brede & Boschetti, Analysing Weighted Networks: An Approach via Maximum Flows, Complex Sciences, in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Book Series, 4, 1093-1104, DOI 10.1007/978-3-642-02466-5.
- Boschetti F., 2007, Improving resource exploitation via Collective Intelligence by assessing agents' impact on the community outcome, Ecological Economics, 63, pages 553-562.
- Brede & Boschetti, 2009, Commons and Anticommons in a simple Renewable Resource Harvest Model, Ecological Complexity, 6, 1, pp 56-63, doi:10.1016/j.ecocom.2008.10.009 .
- Boschetti & Brede, 2009, An information-based adaptive strategy
for resource exploitation in competitive scenarios, Technological Forecasting & Social Change, 76(4), 525-532, doi:10.1016/j.techfore.2008.05.005
- Brede, Boschetti & McDonald, 2008, Strategies for Resource Exploitation, Ecological Complexity, Volume 5(1), Pages 22-29.
- Boschetti, McDonald and Brede, A rapid assessment agent based model for natural resource management, ModSim07, ChristChurch, NZ, December 2007