Abstract
This chapter shows that belief revision about global warming can be modeled by a theory of explanatory coherence that has previously been applied to many cases of scientific belief change. We present a computer simulation of how current evidence supports acceptance of important conclusions about global warming on the basis of explanatory coherence. In addition, we explain resistance to these conclusions using a computational model of emotional coherence, which shows how political and economic goals can bias the evaluation of evidence and produce irrational rejection of claims about global warming. Finally, we argue that explanatory coherence gives a better account of belief revision than major alternatives including logicist and Bayesian theories.
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