Decisions and AI?
Artificial Intelligence!
That, my friends, is the topic on everybody’s mind these days. Self-driving cars by Google, Fraud detection by PayPal, Alexa, Siri, and Cortana — They are helping us automate mundane routines and live life at ease.
AI and ML are interesting, confuzzling, fun, challenging and even a bit scary!
Ok, the nightmare of robots ruling us all will never be possible. Do not worry!
(Remember the time when Facebook shut down its robots after they started talking to each other in their own language?)
On another note, there are various machine learning models out there as a result of AI and they are relatable to humans’ experiences because the “Natural Intelligence” in humans led to the proposal of various machine learning models through “Artificial Intelligence”.
One of my favorite ML models is the concept of decision trees which is a part of the supervised learning category.
Decision trees are based on the idea of arriving at the most feasible decision that should be taken after analyzing the given data. To make a correct decision majority of the times, a number of questions have to be asked which have only yes or no as their answers.
The favorable outcomes and the probability of the decision being made correct always is the key in this model. One of the reasons why I like this model is because it gives the implementor a sense of brainstorming that should be done before making major decisions.
The decision trees are formed based on the inputs and the possible outcomes that arise when yes/no questions are asked. This model can be used to narrow down to the best possible decision we can take in times of chaos and confusion.
Let’s say we need to decide if quitting our job will help us in following our dream to be an entrepreneur. How can we decide on that? We should jot down as many questions as possible and make sure we’re all ready before quitting.
Generalizing facts and bifurcating them as option A and option B, the decision tree illustrated below could be followed. Since our well-wishers suggest options as well, we can include that in our decision tree and get a rationalized and apt choice for most of our confusions.
There might arise a doubt as to why the last condition forces us to follow option A only. Think of it using logical connectives for all the inputs till the resulting condition and you will realize that :
1) Option A is better than Option B
2) Option A is better than your well-wisher’s suggestion
3) Option B may or may not be better than the suggestion
=> (Option A better than option B)^(Option A better than the suggestion)^(Option B (OR) Suggestion)
=> Option A is clearly the best possible choice
How about the time when we had to decide between Science and Arts during college? The time when we had to decide between two cities for jobs? The time when we must decide between Pizza and DBC? (LOL even complex AI models cannot help me decide on one of the two!)
What I am trying to say, is that in times when faith or hope give up on us, practical analysis helps best.
A logical conclusion could be arrived at when we decide to think in terms of a structured approach to any type of decision that we ought to take.
Until next time! 😊
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