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In order to understand the impact of individual communities on global sustainability, we need a community sustainability assessment system (CSAS). While many sustainability assessment systems exist, they prove inadequate to the task. This article presents the results of a systematic review of the literature on existing sustainability assessment systems; offers a definition of a sustainable community; provides a multi-scale, systems approach to thinking about community; and makes recommendations from the field of performance measurement for the construction of a CSAS.

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In this paper, we show that Case-based decision theory, proposed by Gilboa and Schmeidler (Q J Econ 110 (3): 1995), can explain the aggregate dynamics of cooperation in the repeated Prisoner's Dilemma, as observed in the experiments performed by Camera and Casari (Am Econ Rev 99:979-1005, 2009). Moreover, we find CBDT provides a better fit to the dynamics of cooperation than does the existing Probit model, which is the first time such a result has been found. We also find that humans aspire to a payoff above the mutual defection outcome but below the mutual cooperation outcome, which suggests they hope, but are not confident, that cooperation can be achieved. Finally, our best-fitting parameters suggest that circumstances with more details are easier to recall. We make a prediction for future experiments: if the repeated PD were run for more periods, then we would be begin to see an increase in cooperation, most dramatically in the second treatment, where history is observed but identities are not. This is the first application of Case-based decision theory to a strategic context and the first empirical test of CBDT in such a context. It is also the first application of bootstrapped standard errors to an agent-based model.