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Which symbol grounding problem should we try to solve?

Vincent C. Müller

Journal of Experimental & Theoretical Artificial Intelligence 27 (1):73-78 (2015)

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Moralische Roboter: Humanistisch-philosophische Grundlagen und didaktische Anwendungen.André Schmiljun & Iga Maria Schmiljun - 2024 - transcript Verlag.details Brauchen Roboter moralische Kompetenz? Die Antwort lautet ja. Einerseits benötigen Roboter moralische Kompetenz, um unsere Welt aus Regeln, Vorschriften und Werten zu begreifen, andererseits um von ihrem Umfeld akzeptiert zu werden. Wie aber lässt sich moralische Kompetenz in Roboter implementieren? Welche philosophischen Herausforderungen sind zu erwarten? Und wie können wir uns und unsere Kinder auf Roboter vorbereiten, die irgendwann über moralische Kompetenz verfügen werden? André und Iga Maria Schmiljun skizzieren aus einer humanistisch-philosophischen Perspektive erste Antworten auf diese Fragen und entwickeln (...) Download Export citation Bookmark
Non-Stupidity Condition and Pragmatics in Artificial Intelligence.Bojan Borstner & Niko Šetar - 2022 - Croatian Journal of Philosophy 22 (64):101-121.details Symbol Grounding Problem is commonly considered one of the central challenges in the philosophy of artificial intelligence as its resolution is deemed necessary for bridging the gap between simple data processing and understanding of meaning and language. SGP has been addressed on numerous occasions with varying results, all resolution attempts having been severely, but for the most part justifiably, restricted by the Zero Semantic Commitment Condition. A further condition that demands explanatory power in terms of machine-to-human communication is the Non-Stupidity (...) Download Export citation Bookmark
The Bit (and Three Other Abstractions) Define the Borderline Between Hardware and Software.Russ Abbott - 2019 - Minds and Machines 29 (2):239-285.details Modern computing is generally taken to consist primarily of symbol manipulation. But symbols are abstract, and computers are physical. How can a physical device manipulate abstract symbols? Neither Church nor Turing considered this question. My answer is that the bit, as a hardware-implemented abstract data type, serves as a bridge between materiality and abstraction. Computing also relies on three other primitive—but more straightforward—abstractions: Sequentiality, State, and Transition. These physically-implemented abstractions define the borderline between hardware and software and between physicality and (...) Download Export citation Bookmark

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