@inproceedings{81048b75212647f8b5ce75db139d5f0b,
title = "A complex adaptive systems investigation of the social-ecological dynamics of three fisheries",
abstract = "In this paper we describe a complex adaptive systems model of interactions between coupled human and natural system. We use learning classifier systems to create adaptive agents in a simulation of the Maine lobster fishery to explore the relationships among ecological, economic, and social characteristics. Our hypothesis is that the cost of information and learning drives agents' decisions to compete or co-operate and, consequently, the emergence of long-term relationships. Initial results provide tentative support for the hypothesis and the ability of this model to provide insight into the dynamics of individual interactions and the social relationships that emerge from those interactions.",
author = "Hayes, \{P. S.\} and J. Wilson and Congdon, \{C. B.\} and L. Yan and J. Hill and J. Acheson and Y. Chen and C. Cleaver and A. Hayden and T. Johnson and M. Kersula and G. Morehead and R. Steneck",
year = "2011",
language = "English",
isbn = "9781577355472",
series = "AAAI Fall Symposium - Technical Report",
pages = "80--86",
booktitle = "Complex Adaptive Systems",
note = "2011 AAAI Fall Symposium ; Conference date: 04-11-2011 Through 06-11-2011",
}