book chapter · IGI Global eBooks · 2011
An Introduction to Neurocomputing
Cited by 1Abstract and details only
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. Request access from your librarian to read this chapter's full text.
Cite this paper
Barceló, J. A. (2011). An Introduction to Neurocomputing. IGI Global eBooks. https://doi.org/10.4018/9781599044897.ch004
Barceló, Juan Antonio. “An Introduction to Neurocomputing.” IGI Global eBooks, 2011, https://doi.org/10.4018/9781599044897.ch004.
Barceló, Juan Antonio. 2011. “An Introduction to Neurocomputing.” IGI Global eBooks. https://doi.org/10.4018/9781599044897.ch004.
Barceló, J.A. (2011) ‘An Introduction to Neurocomputing’, IGI Global eBooks. Available at: https://doi.org/10.4018/9781599044897.ch004.
@incollection{barcelo2011introduction,
title = {{An Introduction to Neurocomputing}},
author = {Barceló, Juan Antonio},
booktitle = {IGI Global eBooks},
year = {2011},
doi = {10.4018/9781599044897.ch004}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.