ABSTRACT
This chapter presents an introduction to cognitive science. Computational neuroepistemology is based on epistemological, computer science as well as on neuroscience issues and considerations. It does not apply the traditional methods of symbol manipulation, but rather the alternative concept of artificial neural networks. Computational neuroepistemology understands itself as an alternative concept of the traditional cognitive science approaches, which apply the paradigm of symbolic representation. Traditional cognitive science can be divided into the following areas: perception and vision; problem solving, thinking, and reasoning; motor control; language; and learning. Interdisciplinarity (multidisciplinarity) is characteristic of cognitive science. Computer science has a very strong influence on the conceptions of the models being simulated in cognitive science, because the information processing metaphor is the foundation of this approach to understanding and simulating cognitive processes. Philosophy plays a central role in cognitive science, although its interesting contributions have been suppressed by computer science issues.
