Title
Are some human ecosystems self-defeating?
Abstract
Complex patterns of human behaviour are difficult to capture in agent-based simulations of socio-ecological systems. Even knowing each individual agent's strategy at one point in time may not help when trying to predict the collective behaviour of certain systems - e.g. if it is in each agent's best interest to do the opposite of most other agents. In self-defeating situations like these, the collective population of agents may exhibit a panorama of simple or complex behaviour, depending on the extent to which useful information is shared. An extreme example is the bar problem, in which a simulated population of bar attendees oscillates in a seemingly random manner around a critical congestion level. This paper suggests that several resource management problems involving human interactions with ecosystems may possess a self-defeating character. This poses new challenges for integrated resources management. A case in point is the potential over-fishing of fisheries, which is addressed in the paper and likened to a minority game. It is concluded that a mix of innovative and imitative behaviour may be the key to overcoming self-defeating tendencies.
Year
DOI
Venue
2007
10.1016/j.envsoft.2005.12.013
Environmental Modelling and Software
Keywords
Field
DocType
complex behaviour,collective behaviour,human behaviour,socio-ecological systems,collective population,minority game,agent-based models,self-defeating systems,bar problem,human ecosystem,self-defeating tendency,cartesians and stochasts,evolutionarily stable strategies,self-defeating character,self-defeating situation,imitative behaviour,bar attendees oscillates,oscillations,evolutionarily stable strategy,resource manager,human interaction
Resource management,Population,Minority game,Panorama,Computer science,Management science,Human ecosystem
Journal
Volume
Issue
ISSN
22
5
Environmental Modelling and Software
Citations 
PageRank 
References 
7
1.14
3
Authors
1
Name
Order
Citations
PageRank
David Batten171.14