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Network that learns what it actually does

  • US 5,572,627 A
  • Filed: 03/23/1995
  • Issued: 11/05/1996
  • Est. Priority Date: 11/22/1993
  • Status: Expired due to Fees
First Claim
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1. A bidirectional memory means useful in a self-learning machine with a network of memory means, said bidirectional memory means operating in a sequence of sensing and action periods, said bidirectional memory means comprising:

  • a. a timing means to herald a beginning and an end of a sensing and action period of predetermined duration, said sensing and action period being within said sequence of sensing and action periods, andb. at least one of an input interface means to identify an extant value of said input interface means near a beginning of said sensing and action period, andc. at least one of an output interface means to make a production of a forward-selected value of said output interface means within said sensing and action period, andd. said output interface means also to identify an extant value of said output interface means after a predetermined delay from said production of said forward-selected value of said output interface means, ande. said input interface means also to make a production of a back-selected value of said input interface means within said sensing and action period, andf. said bidirectional memory means containing at least one of a bidirectional submatrix means made up of bidirectional memory cell means, wherein each said bidirectional submatrix means is connected to one said input interface means and one said output interface means uniquely, whereing. said bidirectional memory means is disposed to record a historical probability between said extant value of said input interface means and said extant value of said output interface means during said sequence of sensing and action periods, andh. said bidirectional memory means also is disposed to make a forward-selection of said forward-selected value of said output interface means in said sensing and action period, said forward-selection being made on the basis of said a highest of said historical probability, andi. said bidirectional memory means also is disposed to make a back-selection of said back-selected value of said input interface means in said sensing and action period, said back-selection being determined by said highest of said historical probability, wherebyj. said bidirectional memory means is a nodal unit means in a self-learning machine with a nodal network, and said bidirectional memory means is used in an actuator unit means in a self-learning machine with a duplex network, and a self-learning machine with a nodal network.

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