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AI
2004
Springer
13 years 10 months ago
Intrinsic Representation: Bootstrapping Symbols from Experience
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
Stephen David Larson
MM
2004
ACM
178views Multimedia» more  MM 2004»
13 years 10 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
CONNECTION
2006
117views more  CONNECTION 2006»
13 years 5 months ago
Bootstrap learning of foundational representations
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
Benjamin Kuipers, Patrick Beeson, Joseph Modayil, ...
CORR
1999
Springer
115views Education» more  CORR 1999»
13 years 4 months ago
The Symbol Grounding Problem
: There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This pa...
Stevan Harnad
COGSCI
2007
93views more  COGSCI 2007»
13 years 5 months ago
Foundations of Representation: Where Might Graphical Symbol Systems Come From?
It has been suggested that iconic graphical signs evolve into symbolic graphical signs through repeated usage. This article reports a series of interactive graphical communication...
Simon Garrod, Nicolas Fay, John Lee, Jon Oberlande...