![]() Overall, our framework offers new insights on the complexity and beauty of behavioral evolution driven by elementary forms of cognition. NOTICE: The project that is the subject of this report was approved by the Govern- ing Board of the National Research Council, whose members are drawn from. Intention recognizers are then able to predict the next move of their opponents based on past direct interactions, which, in turn, enables them to prevail over the most famous strategies of repeated dilemmas of cooperation, even in presence of noise. We derive a Bayesian Network model for intention recognition in the context of repeated social dilemmas and evolutionary game theory, by assessing the internal dynamics of trust between intention recognizers and their opponents. Here we address explicitly this issue, characterizing the dynamics emerging from a population of intention recognizers. Yet, these studies, mostly grounded on evolutionary dynamics and game theory, have neglected the important role played by intention recognition in behavioral evolution. As a result, several mechanisms have been identified to work as catalyzers of cooperative behavior. "Few problems have created the combined interest of so many unrelated areas as the evolution of cooperation.
0 Comments
Leave a Reply. |