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Toward a Pragmatic Understanding of the Cognitive Underpinnings of Symbol Grounding
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Author(s): Ben Goertzel (Virginia Tech, National Capital Region, USA), Moshe Looks (Washington University, USA), Ari Heljakka (Novamente LLC, USA)and Cassino Pennachin (Vetta Technologies, Brazil)
Copyright: 2007
Pages: 13
Source title:
Semiotics and Intelligent Systems Development
Source Author(s)/Editor(s): Ricardo Gudwin (UNICAMP, Brazil)and João Queiroz (Federal University of Juiz de Fora, Brazil)
DOI: 10.4018/978-1-59904-063-9.ch004
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Abstract
We describe a research project investigating “symbol grounding” – the dynamics by which psychological connections are made between abstract symbols and concrete physical phenomena observed via sense perception and motor action. The project involves the use of a 3D simulated environment (AGI-SIM) as a medium for training, teaching and developing an integrative, general-intelligence-oriented AI software system (the Novamente AI Engine). Via acting in AGI-SIM, Novamente forms concrete sensorimotor groundings for abstract relationships, such as those expressed in English by prepositions and subject-argument relationships. We describe results obtained using probabilistic-evolutionary learning within Novamente to learn groundings for the concept “near”, the use of these groundings in practical procedure learning (e.g. learning to play “fetch” in a simulated world), and we then discuss the correlation of these groundings with linguistic usage of related words, and the use of these groundings within analogical and other sorts of inference.
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