Syntax can generate natural meanings

Reliable causal connections between the syntactic system and the world are sufficient to to generate natural meanings.

For example, because a thermometer is reliably causally connected to the world, when it reads 60 it means that the temperature is 60.

Similarly if an AI system is reliably causally connected to the world, its (syntactic) belief that egg foo young is in front of it will mean (semantically) that egg foo young  medically young is in front of it.

Note: for a similar argument, see "Causal connection with the world is essential to meaning", Box 8.
RELATED ARTICLESExplain
Artificial Intelligence
Can computers think? [1]
Yes: physical symbol systems can think [3]
The Chinese Room Argument [4]
The Syntax-Semantics Barrier
Syntax can generate natural meanings
Barrier's a problem for Searle's theory too
Notion of semantic hookup is problematic
Programs that learn can overcome the barrier
Searle's 3rd axiom requires scientific research
Semantics may result from Godelian self-reference
The Empiricist Reply
The Luminous Room argument
Graph of this discussion
Enter the title of your article


Enter a short (max 500 characters) summation of your article
Enter the main body of your article
Lock
+Comments (0)
+Citations (0)
+About
Enter comment

Select article text to quote
welcome text

First name   Last name 

Email

Skip