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About QSMM

QSMM, a recursive acronym for "QSMM State Machine Model", is a framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning...

QSMM, a recursive acronym for "QSMM State Machine Model", is a framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning process can be carried out in real time together with the interaction process. A basic building block for supporting state models of finite automatons is adaptive probabilistic mapping, which for an argument from its domain returns more often results that maximize or minimize values of one or more objective functions. Finite automatons can be represented by assembler programs with user-defined instructions that perform effective work. To assist in the learning of a finite automaton, a template for its state model can be provided as an assembler program with probabilistic jump instructions.

The operating principle behind the framework resembles the Boltzmann machine.



Previous Versions

Here you can find the changelog of QSMM since it was posted on our website on 2015-04-26 03:00:00. The latest version is 1 and it was updated on 2024-04-22 16:06:45. See below the changes in each version.

QSMM version 1
Updated At: 2021-01-27
QSMM version 1.1x
Updated At: 2010-10-01
Changes: Several fixes and updates


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Users Rating:  
  5.0/5     1
Downloads: 68
Updated At: 2024-04-22 16:06:45
Publisher: olegvol
Operating System: Mac,windows,linux
License Type: Free