Flannery has suggested that the shift from a hunter-gatherer economy to one based upon incipient agriculture requires a gradual rescheduling of the groups' resource acquisition activities. Here, concepts from Artificial Intelligence and Adaptive Systems are used to develop a model of prehistoric hunter-gatherer decision-making in the valley of Oaxaca, Mexico. This decision-making system was then used to answer the following questions: 1. 1. Given randomly specified strategies and no initial knowledge of what available rescheduling decisions will improve performance, can the system produce changes that lead to a mix of strategies that correspond to those used by hunter-gatherers in the valley prior to the introduction of incipient agriculture? 2. 2. How would the system adjust its' resource acquisition strategies in response to the introduction of techniques for incipient agriculture? It is suggested that this basic model is able to explain a significant percentage of the changes in resource use seen in the archaeological record for the site.
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