Auflistung nach Autor:in "Wrede, Britta"
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- ZeitschriftenartikelA Short Review of Symbol Grounding in Robotic and Intelligent Systems(KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Coradeschi, Silvia; Loutfi, Amy; Wrede, BrittaThis paper gives an overview of the research papers published in Symbol Grounding in the period from the beginning of the 21st century up 2012. The focus is in the use of symbol grounding for robotics and intelligent system. The review covers a number of subtopics, that include, physical symbol grounding, social symbol grounding, symbol grounding for vision systems, anchoring in robotic systems, and learning symbol grounding in software systems and robotics. This review is published in conjunction with a special issue on Symbol Grounding in the Künstliche Intelligenz Journal.
- ZeitschriftenartikelAI: Back to the Roots?(KI - Künstliche Intelligenz: Vol. 36, No. 2, 2022) Wrede, Britta
- ZeitschriftenartikelExplainable AI(KI - Künstliche Intelligenz: Vol. 36, No. 0, 2022) Schmid, Ute; Wrede, Britta
- ZeitschriftenartikelExplaining AI: Are We Ready For It?(KI - Künstliche Intelligenz: Vol. 34, No. 1, 2020) Wrede, Britta
- ZeitschriftenartikelOn Grounding Natural Kind Terms in Human-Robot Communication(KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Peltason, Julia; Rieser, Hannes; Wachsmuth, Sven; Wrede, BrittaOur contribution situates Human-Robot Communication, especially the grounding of Natural Kind Terms, in the interface of Artificial Intelligence, Cognitive Psychology, Philosophy, Robotics and Semantics. We investigate whether a robot can be grounded in the sense favoured in Artificial Intelligence and Philosophy.We thus extend the notion of grounding to social symbol grounding using an interactive perspective addressing the question how grounding can be achieved in detail in interaction. For the acquisition of Natural Kind Terms we establish the notions of foundational common ground and foundational grounding in contrast to the established common ground and grounding. We introduce the robot setting used and provide a deep evaluation of a tutorial dialogue between a user and the robot. We investigate these Human-Robot Communication data from an ethno-methodological and an “omniscient” perspective (the latter amounting to consideration of automatic speech recognition results) and test whether these perspectives matter for analysing grounding. We show that the robot has acquired a partial concept of a Natural Kind Term—represented by statistics over visual object features—and that this is shared knowledge, hence the first step of a grounding sequence. Finally, we argue that grounding of robots can be achieved and extended to situated structures of considerable complexity.
- ZeitschriftenartikelSpace for Opinions(KI - Künstliche Intelligenz: Vol. 31, No. 2, 2017) Wrede, Britta
- ZeitschriftenartikelSpecial Issue on Symbol Grounding(KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Coradeschi, Silvia; Loutfi, Amy; Wrede, Britta
- ZeitschriftenartikelWhat is Missing in XAI So Far?(KI - Künstliche Intelligenz: Vol. 36, No. 0, 2022) Schmid, Ute; Wrede, BrittaWith the perspective on applications of AI-technology, especially data intensive deep learning approaches, the need for methods to control and understand such models has been recognized and gave rise to a new research domain labeled explainable artificial intelligence (XAI). In this overview paper we give an interim appraisal of what has been achieved so far and where there are still gaps in the research. We take an interdisciplinary perspective to identify challenges on XAI research and point to open questions with respect to the quality of the explanations regarding faithfulness and consistency of explanations. On the other hand we see a need regarding the interaction between XAI and user to allow for adaptability to specific information needs and explanatory dialog for informed decision making as well as the possibility to correct models and explanations by interaction. This endeavor requires an integrated interdisciplinary perspective and rigorous approaches to empirical evaluation based on psychological, linguistic and even sociological theories.