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Turing Test, Chinese Room Argument, Symbol Grounding Problem. Meanings in Artificial Agents (APA 2013)

Christophe Menant

American Philosophical Association Newsletter on Philosophy and Computers 13 (1):30-34 (2013)

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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
Proposal for an evolutionary approach to self-consciousness (Feb 8th 2014).Christophe Menant - manuscriptdetails It is pretty obvious to most of us that self-consciousness is a product of evolution. But its nature is unknown. We propose here a scenario addressing a possible evolutionary nature of self-consciousness covering the segment linking pre-human primates to humans. The scenario is based on evolutions of representations and of inter-subjectivity that could have taken place within the minds of our pre-human ancestors . We begin by situating self-consciousness relatively to other aspects of human consciousness. With the help of anthropology, (...) Download Export citation Bookmark 1 citation
Meaning generation for animals, humans and artificial agents. An evolutionary perspective on the philosophy of information. (IS4SI 2017).Christophe Menant - manuscriptdetails Meanings are present everywhere in our environment and within ourselves. But these meanings do not exist by themselves. They are associated to information and have to be created, to be generated by agents. The Meaning Generator System (MGS) has been developed on a system approach to model meaning generation in agents following an evolutionary perspective. The agents can be natural or artificial. The MGS generates meaningful information (a meaning) when it receives information that has a connection with an internal constraint (...) Download Export citation Bookmark
Constraint satisfaction, agency and meaning generation as an evolutionary framework for a constructive biosemiotic (2019 update).Christophe Menant - manuscriptdetails Biosemiotics deal with the study of signs and meanings in living entities. Constructivism considers human knowledge as internally constructed by sense making rather than passively reflecting a pre-existing reality. Consequently, a constructivist perspective on biosemiotics leads to look at an internal active construction of meaning in living entities from basic life to humans. That subject is addressed with an existing tool: the Meaning Generator System (MGS) which is a system submitted to an internal constraint related to the nature of the (...) Download Export citation Bookmark
Information, Constraint and Meaning. From the pre-biotic world to a possible post human one. An evolutionary approach (IS4SI 2017).Christophe Menant - manuscriptdetails The presentation proposes to complement an existing development on meaning generation for animals, humans and artificial agents by looking at what could have existed at pre-biotic times and what could be a post-human meaning generation. The core of the approach is based on an existing model for meaning generation: the Meaning Generator System (MGS). The MGS is part of an agent submitted to an internal constraint. The MGS generates a meaning when it receives an information that has a connection with (...) Download Export citation Bookmark 1 citation

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