Cognitive science has much to contribute to the general scientific body of knowledge, but it is also a field rife with possibilities for providing background research that can be leveraged by artificial intelligence (AI) developers. In this introduction, we briefly explore the history of AI. We particularly focus on the relationship between AI and cognitive science and introduce this special issue that promotes the method of inspiring AI development with the results of cognitive science research.

Are incorrect judgments on false belief tasks better explained within the framework of a conceptual change theory or a bias theory? Conceptual change theory posits a change in the form of reasoning from 3 to 4 years old while bias theory posits that processing factors are responsible for errors among younger children. The results from three experiments showed that children who failed a test of false belief took as long to respond as those who passed, and both groups of children (...) took longer to respond to belief questions than to questions about prior states of reality. These results seem to support the bias theory. (shrink)