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rchitectures 73 4.4.1 Neural versus Symbolic; Global versus Local 75 4.5 Globalist versus Localist Representations 78 4.5.1 CLARION 79 4.5.2 The Society of Mind and the Emotion Machine 80 4.5.3 DUAL 80 4.5.4 4D/RCS 81 4.5.5 PolyScheme 82 4.5.6 Joshua Blue 83 4.5.7 LIDA 84 4.5.8 The Global Work
nowledge representation and learning. Among the many kinds of patterns in intelligent systems, semiotic patterns are particularly interesting ones. Peirce decomposed these into three categories: • iconic patterns, which are patterns of contextually important internal similarity between two entities (e
.............. 002.000 00- 75 4.5 Globalist versus Localist Representations ............0...00 00 eee eee eee 78 4.5.1 CLARION ..... 0.0.0.0 79 4.5.2 The Society of Mind and the Emotion Machine ...................... 80 AB JDUUAD: sms cass SecEE ShFE SESE 48 SHEMG THEW CSTE S SRPMS EME OeE mE SR 80 ABA AD/RCS o.oo ccc
knowledge representation and learning. Among the many kinds of patterns in intelligent systems, semiotic patterns are particularly interesting ones. Peirce decomposed these into three categories: @ iconic patterns, which are patterns of contextually important internal similarity between two entities (e.
. Enough: Staying Human in an Engineered Age. Saint Martins Griffin, 2003. et04. Thomas Metzinger. Being No One. Bradford, 2004. in88. Marvin Minsky. The Society of Mind. MIT Press, 1988. inO7. Marvin Minsky. The Emotion Machine. 2007. KO7. Joseph Modayil and Benjamin Kuipers. Autonomous development of a grounded obje
The Origin of Life. Dover, 1952. Pal82. Gunter Palm. Neural Assemblies. An Alternative Approach to Artificial Intelligence. Springer, 1982. Pei34. C, Peirce. Collected papers: Volume V. Pragmatism and pragmaticism. Harvard University Press. Cambridge MA., 1934. Pel05. Martin Pelikan. Hierarchical Bayesian
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