Abstract
Due to its’ connectionist nature, abductive reasoning may get neural network implementations that yet require structure adaptation to the abduction problems which Bylander and the team asserted. The paper proposes neural models for all known abduction problems, in a really unified manner, and with a sound and straightforward embedding in the existing neural network paradigms.
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Ariton, V., Ariton, D. (2007). Neural Network Models for Abduction Problems Solving. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_7
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DOI: https://doi.org/10.1007/978-3-540-74819-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
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