This Guest paper was first published on the PlanningPlanet blog on January 12, 2018 and is copyright to Dr. Dan Patterson, PMP, 2018
Published here
April 2018.

Introduction | What Exactly is Artificial Intelligence?
The Problem with Project Planning Today | AI Categories | Current Approaches to ANI
Neural Networks | Which AI Approach is Best for Helping with Project Planning?
Should We Embrace or Avoid AI in Planning?

Neural Networks (NN)

A neural network tries to simulate the way a brain processes, learns and remembers information. An NN learns from experience. It looks for similarities in information that is fed to it and compares that with previous data. It then makes a selection based on that. That is, it looks for patterns.

This pattern matching is based on what is called machine learning, but you have to teach an NN what is a match and what is not. Feed in enough examples of characteristics of an alive human (e.g., breathing, pulse, eye movement, etc.) and a neural network will start to establish a pattern as to whether those inputs point towards a correct diagnosis of alive or dead.

Figure 3: Again, our simplistic example of a Neural Network
Figure 3: Again, our simplistic example of a Neural Network

There are various forms of machine learning in a neural network including:

  • Supervised: e.g., feed in an activity that has zero total float and tell the NN that the activity is "on the critical path". After feeding in enough of these activities, it will establish a pattern that matches zero float activities to critical path activities.
  • Unsupervised: feed in activities but don't tell the NN which are on the critical path or let the NN try and categorize the activities based on its various attributes e.g., total float. In this instance, the NN will perhaps group into zero and non-zero float without knowing this relates to critical path — it simply groups activities together.
  • Reinforcement: teaching through reward, e.g., teaching a kid good behavior by offering a treat. As to our planning software examples, perhaps the license cost of the software should automatically go up or down depending on how good the AI engine suggestions are!!!!
Current Approaches to ANI  Current Approaches to ANI

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