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e created. Using frequent itemset mining to find temporal motif maps is a similar, but slightly more complex process. Here, one fixes a time-window W. Then, for each activation cycle index t, one creates a set S(t) consisting of pairs of the form: (A, a) where A is an Atom and 0 ≤ s ≤ W is an int
oach could enable language to be learned quite rapidly. EFTA00624525 Chapter 44 Natural Language Comprehension Co-authored with Michael Ross and Linas Vepstas and Ruiting Lian 44.1 Introduction Two key approaches to endowing AGI systems with linguistic facility exist, as noted above: • "Experiential" - s
so that according to the process of synthesis, Y„=W. In practice, of course, the implementation of a
ook), Sibley Verbeck, Jeff Reed, Pejman Makhfi, Welter Silva, Lukasz Kaiser and more • All theme who have helped with the OpenCog system, including Linas Vepstas, Joel Pitt, Jared Wigmore / Jade O'Neill, Zhenhua Cal, Deheng Huang, Shujing Ke, Lake Watkins, Alex van der Peet, Samir Araujo, Fabricio Silva, Yan
so that according to the process of synthesis, Y,=W. In practice, of course, the implementation of a
s book), Sibley Verbeck, Jeff Reed, Pejman Makhfi, Welter Silva, Lukasz Kaiser and more All those who have helped with the OpenCog system, including Linas Vepstas, Joel Pitt, Jared Wigmore / Jade O'Neill, Zhenhua Cai, Deheng Huang, Shujing Ke, Lake Watkins, Alex van der Peet, Samir Araujo, Fabricio Silva, Yang
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