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Questions tagged [decision-theory]

For various clarifications/proofs behind an Artificially Intelligent agent's reasoning process using Decision Theory.

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Decision making systems applications

Machine learning and data science are mainly made for processing large amounts of data nowadays, for example - a multitude of pictures. But do these fields have some applications in the decision ...
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0answers
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Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
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1answer
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Should I use Monte Carlo or a classifier for this Decision Making problem?

I want to build a model to support decision making for loan insurance proposal. There are three actors in the problem: a bank, a loaner applicant (someone who ask for a loan) and a counselor. The ...
2
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1answer
38 views

What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models' principles be applied to AI?

What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models’ principles and insights be applied to the field of Artificial Intelligence, e.g. ...
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Condition Action Statement - Feed Forward Neural Network

I am trying to produce Decision Tree from Feed Forward Neural Network . The input to the feed forward neural network is Condition Action Statement for example, if airthrusthold > 90 , power up the ...
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1answer
249 views

Getting Negative Information Gain (using Entropy as a measure of disorder)

I'm creating a Decision Tree and at the very root level itself, I'm getting negative Information Gain. As per my knowledge, Information Gain is always > 0.... ...
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3answers
381 views

How to define or represent evil in logic

Is there any well defined method to define or represent evil in abstract logic, binary or AI form? Video games method of representing evil is relative to the player context (thus subjective, and not ...
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1answer
110 views

Is there a name for this principle?

I have an idea for a transformative decision rule (TDR), but I want to know if there's already a name for it. Any ordinal scale should be converted to a scale such that all the outcomes are ...
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1answer
96 views

Is there any flaw to this solution to the One shot prisoner's dilemma

I wrote a solution to the one shot Prisoner's dilemma:     Introduction My solution applies to a prisoner dilemma involving two people (I have neither sufficient knowledge of the prisoner'...
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1answer
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Is Logistic Regression more free from 'Conditional Independence' assumption than Naive Bayes?

To my understanding, Logistic Regression is an extension of Naive Bayes. Suppose, X = {x1, x2........xN}, Y = {0, 1}, each xi is i.i.d and the P(xi|Y=yk) ~ N (μ,σ2) is a Gaussian ...
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2answers
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A Twist on the “AI in a box experiment”

Let's suppose there are two AI boxes, AI_A and AI_B, both of them General Intelligence. Consider that AI_B has the ability to open and modify AI_A. But this action of opening up and modifying is ...
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1answer
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Zilberstein's “LP-dominate” pruning explained?

How does in the (famous Zilberstein) PR(uning) algorithm below the LP-dominate function get started: the first time it's called, ...
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2answers
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Making decision based on users' reports

I have users' reports about an accident. I want to know how to make sure that the number of reports is big enough to take that accident as a true accident and not spam. My idea is to consider a ...
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1answer
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How to calculate entropy for an ID3 decision tree?

Wikipedia's description of entropy breaks down the formula, but I still don't know how to determine the values of X and p(x), defined as "The proportion of the number of elements in class x to the ...
3
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1answer
410 views

How to represent a large decision tree?

A system makes a decision basing on a large number of varied factors, following a "live" decision tree - one that is (independently, through other subsystem) updated with new decisions, new situations....
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12answers
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Could a paradox kill an AI?

In Portal 2 we see that AI's can be "killed" by thinking about a paradox. I assume this works by forcing the AI into an infinite loop which would essentially "freeze" the computer's consciousness. ...
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Would Google's self-driving-car stop when it sees somebody with a T-shirt with a stop sign printed on it?

In Hidden Obstacles for Google’s Self-Driving Cars article we can read that: Google’s cars can detect and respond to stop signs that aren’t on its map, a feature that was introduced to deal with ...
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2answers
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Is it ethical to implement self-defence for street walking AI robots?

Would it be ethical to implement AI for self-defence for public walking robots which are exposed to dangers such as violence and crime such as robbery (of parts), damage or abduction? What would be ...
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1answer
325 views

What would happen if someone jumped in the front of a Google car?

The Situation: A self-driving car is traveling at it's maximum speed, 25 mph (40 km/h), in the middle of an empty street with the ability to change lanes on both sides. There are two passengers, one ...
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13answers
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How could self-driving cars make ethical decisions about who to kill?

Obviously, driverless cars aren't perfect, so imagine that the Google car (as an example) got into a difficult situation. Here are a few examples of unfortunate situations caused by a set of events: ...