Symbol grounding and the symbolic theft hypothesis
In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer-Verlag (2002)
| Abstract | Scholars studying the origins and evolution of language are also interested in the general issue of the evolution of cognition. Language is not an isolated capability of the individual, but has intrinsic relationships with many other behavioral, cognitive, and social abilities. By understanding the mechanisms underlying the evolution of linguistic abilities, it is possible to understand the evolution of cognitive abilities. Cognitivism, one of the current approaches in psychology and cognitive science, proposes that symbol systems capture mental phenomena, and attributes cognitive validity to them. Therefore, in the same way that language is considered the prototype of cognitive abilities, a symbol system has become the prototype for studying language and cognitive systems. Symbol systems are advantageous as they are easily studied through computer simulation (a computer program is a symbol system itself), and this is why language is often studied using computational models | |||||||||
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Nirmalangshu Mukherji (2003). Is C Hl Linguistically Specific? Philosophical Psychology 16 (2):289 – 308.
Peter beim Graben (2004). Incompatible Implementations of Physical Symbol Systems. Mind and Matter 2 (2):29-51.
Stevan Harnad (1995). Grounding Symbols in Sensorimotor Categories with Neural Networks. Institute of Electrical Engineers Colloquium on "Grounding Representations.
Stevan Harnad (2002). Symbol Grounding and the Origin of Language. In Matthias Scheutz (ed.), Computationalism: New Directions. MIT Press.
Tim van Gelder (1999). Defending the Dynamic Hypothesis. In Wolfgang Tschacher & J-P Dauwalder (eds.), Dynamics, Synergetics, Autonomous Agents: Nonlinear Systems Approaches to Cognitive Psychology and Cognitive Science. Singapore: World Scientific.
Angelo Cangelosi (2001). Evolution of Communication and Language Using Signals, Symbols and Words. [Journal (on-Line/Unpaginated)].
Vincent C. Müller (2009). Symbol Grounding in Computational Systems: A Paradox of Intentions. Minds and Machines 19 (4):529-541.
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