Playing against a Computer or a Human Research - 1596 Words

Background and significance Individuals participating in an interaction perceive one another as rational agents who possess beliefs, desires and intentions that might be different than their own. Assumptions made about these mental states are used to interpret and predict behavior. Conferring such attributes to an agent (human, computer, whatever) has been described as adopting an ‘intentional stance’ (Dennet, 1996). Adopting an intentional stance is part of our broader ability to mentalize which involves representing and attributing mental states to oneself and others. Research concerned with understanding the neural system of mentalizing has indentified a network of regions that minimally involve the temporoparietal region (TPJ) and the medial prefrontal cortex (MPFC) (Abu-Akel and Shamay-Tsoory, 2011). However, it is not completely clear the extent to which humans readily mentalize (or adopt an intentional stance) with other humans or non-humans (e.g., computers). Thus an important goal of this study is to investigate how the neural network associated with adopting an intentional stance is modulated under various interaction conditions in which the interacting partner and the context are varied. Several studies employing various interactive games have been conducted to uncover the neural basis involved in adopting an intentional stance. These studies followed a similar script according to which participants were led to believe that they are playing either against aShow MoreRelated Game Playing and Artificial Intelligence Essay1546 Words   |  7 PagesGame Playing and Artificial Intelligence Abstract Since the inception of the field of Artificial Intelligence (AI), game playing has had a key role. Likewise, AI has been an integral part of modern computer games. This collaboration of academic and commercial research and development into AI has yielded vast amounts of crossover technology. 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