David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 17 (4):369-389 (2008)
This article is the second step in our research into the Symbol Grounding Problem (SGP). In a previous work, we defined the main condition that must be satisfied by any strategy in order to provide a valid solution to the SGP, namely the zero semantic commitment condition (Z condition). We then showed that all the main strategies proposed so far fail to satisfy the Z condition, although they provide several important lessons to be followed by any new proposal. Here, we develop a new solution of the SGP. It is called praxical in order to stress the key role played by the interactions between the agents and their environment. It is based on a new theory of meaning—Action-based Semantics (AbS)—and on a new kind of artificial agents, called two-machine artificial agents (AM²). Thanks to their architecture, AM2s implement AbS, and this allows them to ground their symbols semantically and to develop some fairly advanced semantic abilities, including the development of semantically grounded communication and the elaboration of representations, while still respecting the Z condition
|Keywords||Action-based semantics Artificial evolution Communication Hebb’s rule Local selection Symbol Grounding Problem Two-machine artificial agents Zero semantic commitment condition|
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Orlin Vakarelov (2010). Pre-Cognitive Semantic Information. Knowledge, Technology & Policy 23 (2):193-226.
Fred Adams (2010). Information and Knowledge À la Floridi. Metaphilosophy 41 (3):331-344.
Orlin Vakarelov (2013). From Interface to Correspondence: Recovering Classical Representations in a Pragmatic Theory of Semantic Information. Minds and Machines (3):1-25.
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