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An Introduction to Neurocomputing

An Introduction to Neurocomputing

Juan A. Barceló
Copyright: © 2009 |Pages: 48
ISBN13: 9781599044897|ISBN10: 1599044897|ISBN13 Softcover: 9781616925680|EISBN13: 9781599044910
DOI: 10.4018/978-1-59904-489-7.ch004
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MLA

Juan A. Barcelo. "An Introduction to Neurocomputing." Computational Intelligence in Archaeology, IGI Global, 2009, pp.142-189. https://doi.org/10.4018/978-1-59904-489-7.ch004

APA

J. Barcelo (2009). An Introduction to Neurocomputing. IGI Global. https://doi.org/10.4018/978-1-59904-489-7.ch004

Chicago

Juan A. Barcelo. "An Introduction to Neurocomputing." In Computational Intelligence in Archaeology. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-489-7.ch004

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Abstract

Let’s build an automated archaeologist! It is not an easy task. We need a highly complex, nonlinear, and parallel information-processing “cognitive core” able to explain what the robot sees, in terms of causal factors, which not always have an observable nature. Of course, such a “cognitive core” should not run like a human brain. After all, automated archaeologists do the same tasks as “human archaeologists,” but not necessary in the same way. Nevertheless, there is some similitude in the basic mechanism. My suggestion is that an archaeologist, human or “artificial,” will perceive archaeological data and, using some basic principles of learning, as those presented in previous chapter, will develop ways of encoding these data to make sense of perceived world. Consequently, we may try to build our artificial archaeologist based on the idea of learning and the ability to adapt flexibly epistemic actions to different archaeological problems waiting for a solution.

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