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ulus • RelEx: A specific software component within OpenCog, which provides one way of dealing with natural language Relationship Extraction • SAT: Boolean SATisfaction, as a mathematical / computational problem • SMEPH: Self-Modifying Evolving Probabilistic Hypergraph • SRAM: Simple Realistic Agents Model • STI:
parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. • Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money,
ulus • RelEx: A specific software component within OpenCog, which provides one way of dealing with natural language Relationship Extraction • SAT: Boolean SATisfaction, as a mathematical / computational problem • SMEPH: Self-Modifying Evolving Probabilistic Hypergraph • SRAM: Simple Realistic Agents Model • STI:
parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. • Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money,
Calculus RelEx: A specific software component within OpenCog, which provides one way of dealing with natural language Relationship Extraction SAT: Boolean SATisfaction, as a mathematical / computational problem SMEPH: Self-Modifying Evolving Probabilistic Hypergraph SRAM: Simple Realistic Agents Model STI: Short Te
e parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money, ST
Entities connected to both Boolean SATisfaction and Hebbian Learning
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Stephen Hawking
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Woody Allen
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