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Explanation and artificial neural networks

1992 , Diederich, J.

Explanation is an important function in symbolic artificial intelligence (AI). For instance, explanation is used in machine learning, in case-based reasoning and, most important, the explanation of the results of a reasoning process to a user must be a component of any inference system. Experience with expert systems has shown that the ability to generate explanations is absolutely crucial for the user acceptance of Al systems. In contrast to symbolic systems, neural networks have no explicit, declarative knowledge representation and therefore have considerable difficulties in generating explanation structures. In neural networks, knowledge is encoded in numeric parameters (weight) and distributed all over the system. It is the intention of this paper to discuss the ability of neural networks to generate explanations. It will be shown that connectionist systems benefit from the explicit coding of relations and the use of highly structured networks in order to allow explanation and explanation components (ECs). Connectionist semantic networks (CSNs), i.e. connectionist systems with an explicit conceptual hierarchy, belong to a class of artificial neural networks which can be extended by an explanation component which gives meaningful responses to a limited class of "How" questions. An explanation component of this kind is described in detail.

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Steps toward knowledge-intensive connectionist learning

1991 , Diederich, J.

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Recruitment vs. backpropagation learning

1990 , Diederich, J.

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Some remarks on emotion, cognition, and connectionist systems

1990 , Rayburn, W.M. , Diederich, J.

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Künstliche neuronale Netze und elektronische Kommunikation

1992 , Diederich, J. , Wasserschaff, M. , Mark, S.

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An explanation component for a connectionist inference system

1990 , Diederich, J.

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Recruitment vs. backpropagation learning: An empirical study on re-learning in connectionist networks

1990 , Diederich, J.

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Neue Trends im Konnektionismus

1991 , Diederich, J.

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Connectionist question answering

1990 , Diederich, J. , Long, D.L.

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Explanation and neural computation

1990 , Diederich, J.

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