Answering the “why” in answer set programming – A survey of explanation approaches

Artificial intelligence (AI) approaches to problem-solving and decision-making are becoming more and more complex, leading to a decrease in the understandability of solutions. The European Union’s new General Data Protection Regulation tries to tackle this problem by stipulating a “right to explanat...

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Veröffentlicht in:	Theory and practice of logic programming Jg. 19; H. 2; S. 114 - 203
Hauptverfasser:	FANDINNO, JORGE, SCHULZ, CLAUDIA
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cambridge, UK Cambridge University Press 01.03.2019 Cambridge University Press (CUP)
Schlagworte:	Artificial Intelligence Computer Science Cryptography Decision making Domains Machine Learning Mathematical programming Problem solving Solvers Special Issue on User-Oriented Logic Programming and Reasoning Paradigms Survey Article answer set debugging justification explanation Justification Answer set Explanation Debugging
ISSN:	1471-0684, 1475-3081
Online-Zugang:	Volltext
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