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urations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. • Ben Kuipers and his colleagues INIK07, MKOS, NIKOalhave pursued an extremely innovative research program which combines qualitative reasoning and reinforcement
1 Introduction 107 6.2 High-Level Architecture of CogPrime 107 6.3 Current and Prior Applications of OpenCog 108 6.3.1 Transitioning from Virtual Agents to a Physical Robot 110 6.4 Memory Types and Associated Cognitive Processes in CogPrime 110 6.4.1 Cognitive Synergy in PLN 111 6.5 Goal-Ori
r the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of
for building steps available, finding some other way to get elevated will be a good idea that may help it get the object 6.3.1 lb-ansitioning from Virtual Agents to a Physical Robot Preliminary experiments have also been conducted using OpenCog to control a Nao robot as well as a virtual dog HIG081. This inv
igurations that carry out sensorimotor and categorization tasks. The emergence of higher-level cognition from this approach seems rather unlikely. e Ben Kuipers and his colleagues [MK07, MIX08, MIXO09]have pursued an extremely innovative research program which combines qualitative reasoning and reinforcement
ime .......... 0.00.00 eee eee eee eee 107 6.3 Current and Prior Applications of OpenCog ..............0..0 022 eee eee 108 6.3.1 Transitioning from Virtual Agents to a Physical Robot ................ 110 6.4 Memory Types and Associated Cognitive Processes in CogPrime ............. 110 6.4.1 Cognitive Synergy i
er the various cognitively-relevant properties of the environment from looking at data about the ev- eryday world. We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction, showing that learning algorithms can infer some basics about the structure of s
ls for building steps available, finding some other way to get elevated will be a good idea that may help it get the object 6.3.1 Transitioning from Virtual Agents to a Physical Robot Preliminary experiments have also been conducted using OpenCog to control a Nao robot as well as a virtual dog [GdGO08]. This in
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ORGANIZATIONCogPrime
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