The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The combination of logic-based inference and connectionist learning systems may lead to the construction of semantically sound computational cognitive models in artificial intelligence, computer and cognitive sciences. Over...

As artificial intelligence approaches the human level, the task of designing cognitive tests and challenges for robots becomes critical for clarifying and reproducing elements of the “magic” of human cognition. In solving this task, the store of knowledge of experimental psychology cannot be ignored. At the same time, methods and test paradigms used for evaluation of humans and/or brain models ...

OBJECTIVE Clinical reasoning studies have acknowledged tacit aspects of practice, and recent research suggests that clinical reasoning contains intuition informed by tacit knowledge. Intuition also appears to be influenced by awareness and understanding of emotions. This study investigated the relationship between intuition and emotional intelligence among occupational therapists in mental heal...

In modern cognitive science, rationality and intelligence are measured using different tasks and operations. Furthermore, in several contemporary dual process theories of cognition, rationality is a more encompassing construct than intelligence. Researchers need to continue to develop measures of rational thought without regard to empirical correlations with intelligence. The measurement of ind...