Reinforcement learning is one of several breads of “machine learning” approaches within the field of computer science. However, at its origins, reinforcment learning is leverages the science of behaviour in an attempt to . Mathematics/Game Theory – probability Industrial management – theory of constraints Computer science – Turing’s man as machine, machine as brain PsychologyContinue reading “Habit Magic!”
I did not initially gravitate to the Clifton Strengths framework. Then I discovered Gallop’s Strengths Based Leadership, which offered a new level of depth by grouping the themes into quadrants. Wow, now the strengths work with the Myers-Briggs type theory, with some intriguing deviations
In my experience, #paper is the unwieldiest of all the #KonMari categories. And it makes sense: not only is #tidiness entropic, #information itself is #entropic.
Woot woot! #publicdata for #marketanalysis, or #howispentmyweekend cleaning dirty data 🙂
In pursing the difficult questions, we may enter the murky territory of the dreaded “ethical dilemma”. However, it is only in asking them that one collects enough information to make the best possible decision at a given point in time.
The Art of Proposal Management – on how #theArtofWar lends a framework for understanding the purpose of each stage/gate along the entire #proposalmanagement process
#systemstheory #informationtheory #innovation #innovationmanagement #adaptiveenterprise #communicationtheory