Questions tagged [ai-design]
For questions related to the design of AI agents, algorithms or models.
15
questions
1
vote
3answers
257 views
How would AI prioritize situational ethics? [duplicate]
There's a real possibility that self driving cars become more than just a high tech novelty and they start changing the market.
As seen in Logan, self driven commercial freight might be among the ...
3
votes
0answers
207 views
How to define an action space when an agent can take multiple sub-actions in a step?
I'm attempting to design an action space in OpenAI's gym and hitting the following roadblock. I've looked at this post which is closely related but subtly different.
The environment I'm writing needs ...
6
votes
2answers
2k views
What are the most important components in the algorithm of a minimum AI? [closed]
If someone wants to develop a basic AI with some code modules,Let us say the AI just has to provide an action when stimulated in a certain situation based on its previous understanding of situations.
...
14
votes
2answers
424 views
How should I encode the structure of a neural network into a genome?
For a deterministic problem space, I need to find a neural network with the optimal node and link structure. I want to use a genetic algorithm to simulate many neural networks to find the best network ...
9
votes
1answer
446 views
What tools are used to deal with adversarial examples problem?
The problem of adversarial examples is known to be critical for neural networks. For example, an image classifier can be manipulated by additively superimposing a different low amplitude image to each ...
5
votes
3answers
256 views
Given enough computational resources, do we currently have any algorithms which could achieve AI?
Hypothetically, assume that you have access to infinite computing power. Do we have designs for any brute-force algorithms that can find an AI capable of passing traditional tests (e.g. Turing, ...
4
votes
1answer
492 views
How would you encode your input vector/matrix from a sequence of moves in game like tasks to train an AI? e.g. Chess AI?
I've seen data sets for classification / regressions tasks in domains such as credit default detection, object identification in an image, stock price prediction etc. All of these data sets could ...
4
votes
3answers
189 views
Are Neural Net architectures accidental discoveries?
So recently I have been learning about new NN's which are used for specialised purposes like speech recognition, image recognition, etc. The more I discover the more I get amazed by the cleverness ...
2
votes
1answer
273 views
How to train a reinforcement learning agent from raw pixels?
How would you train a reinforcement learning agent from raw pixels?
For example, if you have 3 stacked images to sense motion, then how would you pass them to neural networks to output Q-learning ...
2
votes
1answer
325 views
AI chatbot design
I am looking to train a chatbot that can help me relieve stress and deal with my negative emotions. I would like for the chatbot to be like the ones that pass the Turing test, remain professional, yet ...
4
votes
2answers
112 views
Why do we need both the validation set and test set?
I know that this has been asked a hundred times before, however, I was not able to find a question (and an answer) which actually answered what I wanted to know, respectively, which explained it in a ...
4
votes
1answer
112 views
How would one go about generating *sensible* responses to chat?
I have recently gone about and made a simple AI, one that gives responses to an input (albeit completely irrelevant and nonsensical ones), using Synaptic.js. Unfortunately, this is not the type of ...
4
votes
2answers
229 views
AI on Academic vs Industry vs Competition
When we are working on an AI project, does the background or the domain make the process different? The "domain" I mean here is like AI for academic research, AI for industry, and AI for competition.
...
3
votes
1answer
541 views
What are the (general) sizes of AlphaGo and Deep Blue?
I'm trying to get a gauge on just how big the programs and databases are these automata. I understand that this is a changing number, particularly in regard to Machine Learning.
Q: How large was ...
3
votes
0answers
168 views
What can be considered a deep recurrent neural network?
In the paper Deep Recurrent Q-Learning for Partially Observable MDPs, the DRQN is described as DQN with the first post-convolutional fully-connected layer replaced by a recurrent LSTM.
I have DQN ...
