Questions tagged [ai-design]

For questions related to the design of AI agents, algorithms or models.

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23
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2answers
931 views

Are there any ongoing projects which use the Stack Exchange for machine learning?

Are there any ongoing AI projects which use the Stack Exchange for machine learning?
14
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2answers
416 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 ...
13
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1answer
2k views

When should I use Reinforcement Learning vs PID Control?

When designing solutions to problems such as the Lunar Lander on OpenAIGym, Reinforcement Learning is a tempting means of giving the agent adequate action control so as to successfully land. But ...
13
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2answers
23k views

How can these 7 AI problem characteristics help me decide on an approach to a problem?

If this list1 can be used to classify problems in AI ... Decomposable to smaller or easier problems Solution steps can be ignored or undone Predictable problem universe Good solutions are ...
12
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1answer
17k views

Design AI for log file analysis

I'm developing an AI tool to find known equipments' errors and find new patterns of failure. This log file is time based and has known messages (information and error).I'm using a JavaScript library ...
12
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2answers
668 views

Do self-driving cars resort to randomness to make decisions?

I recently heard someone make a statement that when you're designing a self-driving car, you're not building a car but really a computerized driver, so you're trying to model a human mind -- at least ...
12
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1answer
2k views

How would Deepmind's new “differentiable neural computer” scale?

Deepmind just published a paper about a "differentiable neural computer", which basically combines a neural network with a memory. The idea is to teach the neural network to create and recall useful ...
11
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1answer
3k views

What are ontologies in AI?

What exactly are ontologies in AI? How should I write them and why are they important?
10
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5answers
3k views

How do I keep track of already visited states in breadth-first search?

I was trying to implement the breadth-first search (BFS) algorithm for the sliding blocks puzzle (number type). Now, the main thing I noticed is that, if you have a $4 \times 4$ board, the number of ...
10
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4answers
760 views

Can the English language ever be generalized using a set of grammar rules?

In programming languages, there is a set of grammar rules which govern the construction of valid statements and expressions. These rules help in parsing the programs written by the user. Can there ...
10
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1answer
379 views

AI that can generate programs

I have been looking into Viv an artificial intelligent agent in development. Based on what I understand, this AI can generate new code and execute it based on a query from the user. What I am curious ...
9
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1answer
1k views

Why does the policy network in AlphaZero work?

In AlphaZero, the policy network (or head of the network) maps game states to a distribution of the likelihood of taking each action. This distribution covers all possible actions from that state. ...
9
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2answers
780 views

What are general ideas behind OpenCog?

OpenCog is an open source AGI-project co-founded by the mercurial AI researcher Ben Goertzel. Ben Goertzel writes a lot of stuff, some of it really whacky. Nonetheless, he is clearly very intelligent ...
9
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1answer
176 views

Is analogy necessary to artificial general intelligence?

Analogies are quite powerful in communication. They allow to explain complex concepts to people with no domain knowledge, just by mapping to a known domain. Hofstadter says they matter, whereas ...
9
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3answers
601 views

Do I need classification or regression to predict the availability of a user given some features?

While studying data mining methods I have come to understand that there are two main categories: Predictive methods: Classification Regression Descriptive methods: Clustering Association rules ...
9
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1answer
365 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 ...
8
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3answers
345 views

Is there a trade-off between flexibility and efficiency?

A "general intelligence" may be capable of learning a lot of different things, but possessing capability does not equal actually having it. The "AGI" must learn...and that learning process can take ...
8
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1answer
2k views

Is Nassim Taleb right about AI not being able to accurately predict certain types of distributions?

So Taleb has two heuristics to generally describe data distributions. One is Mediocristan, which basically means things that are on a Gaussian distribution such as height and/or weight of people. The ...
8
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1answer
467 views

What is an intuitive explanation of how Google's AutoML works?

I recently read that Google has developed a new AI that anyone can upload data to and it will instantly generate models i.e. an image recognition model based off that data. Can someone explain to me ...
7
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2answers
2k views

What are the most important components in the algorithm of a minimum AI?

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. ...
7
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3answers
85 views

Is there a central focus on the communication methods between AI and humans?

AI is developing at a rapid pace and is becoming very sophisticated. One aspect will include the methods of interaction between AI and humans. Currently the interaction is an elementary interaction ...
7
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1answer
122 views

What technologies are needed for a self-driving car?

Google, Tesla or Apple have all built or are building their own self-driving cars. As an expert in a related area, I am interested in knowing at a high level, the systems and techniques that go into ...
7
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1answer
208 views

What does it mean to do multi-dimensional processing with tensors in tensor cores?

In some tweets about NeurIPS 2018, this video from NVIDIA appeared. At around 0.37, she says: If you think about the current computations in our deep learning systems, they are all based on Linear ...
7
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2answers
236 views

Which predictive algorithm can be used to predict a number given other numbers?

I am currently searching for a supervised learning algorithm that can be used to predict the output given a large enough training set. Here's a simple example. Suppose the training dataset is ...
6
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2answers
1k views

How do I create an AI for a two-players board game?

Goal I want to create an artificial intelligence to compete against other players in a board game. Game explanation I have a board game similar to 'snakes and ladders'. You have to get to a final ...
6
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1answer
881 views

Is the new Alpha Go implementation using Generative Adversarial Networks?

I read through the publication Mastering the game of Go without Human Knowledge. It doesn't seem to use GANs, just a new form of search and reinforcement learning.
6
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4answers
1k views

Can prior knowledge be encoded in deep neural networks?

I was reading Gary Marcus's a Critical Appraisal of Deep Learning. And one of his criticisms is that neural networks don't incorporate prior knowledge in tackling a problem. My question is, has there ...
6
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1answer
250 views

How important is true randomness in AI designs?

How important is true (non-pseudo) randomness in Artificial Intelligence designs? Is there any chance that pseudo-randomness could be a barrier to more successful designs?
6
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1answer
155 views

Q-Learning the generic maze solution

After doing some exercices on Q-learning for maze solving, I wondered : my q-learning algorithms solve only ONE maze. The AI doesn't learn how to solve mazes, so how can I achieve it ? For instance ...
6
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3answers
318 views

AI composing music

Do you know what AI model would be best for let it learn composing music? I really don't know where to start there. Are there some good papers out there? I would say, if I use a NN, my only option ...
6
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1answer
81 views

Suicide Predictor and Locator

Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI ...
6
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3answers
453 views

AI beginners books for coding [closed]

Does anyone know a good book to buy for beginners to coding for artificial intelligence? I have done some coding in Java and a little with Python, but I would be willing to learn a new language too.
6
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2answers
148 views

Can an AI be made to maintain a train of thought?

This mostly refers to human-like or chatbot AI, but could maybe be used in other applications (math or something?). Basically, it occurred to me, that when I'm thinking or speaking, there is a ...
5
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3answers
249 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, ...
5
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4answers
13k views

Are there real applications of fuzzy logic?

This question covers in detail, what fuzzy logic is and how it relates to other math fields, such as boolean algebra and sets theory. This question is also very related, but the answers are focused ...
5
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2answers
219 views

What functionality, does control look like in autonomous vehicles levels 4 and 5?

We are doing a research design project on autonomous vehicles and have some questions on AV Levels 4/5; specifically on the roles, impacts and consequences of AV on society, government, users and ...
5
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2answers
1k views

Should the prediction of the body temperature given a camera image be modelled as classification or regression?

I am fairly new to deep learning in general and I am currently facing a problem I want to solve using neural networks and I am unsure if it is a classification or regression problem. I am aware that ...
5
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1answer
1k views

How to turn a ternary constraint into three binary constraints?

I'm trying to solve problem 6.6 from the book Artificial Intelligence: A Modern Approach, by Peter Norvig and Stuart Russell. This is in the context of Constraint Satisfaction Problem and how you can ...
5
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2answers
3k views

Use AI to interpret XML?

My question is more about "is it possible?" and "is this the right approach?" So let me explain what my idea is: I think about a system which gets XML documents in various structures but with ...
5
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3answers
57 views

What should we do when we have equal observations with different labels?

Suppose we have a labeled data set with columns $A$, $B$, and $C$ and a binary outcome variable $X$. Suppose we have rows as follows: ...
5
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1answer
172 views

What does “hard for AI” look like?

In theoretical computer science, there is a massive categorization of the difficulty of various computational problems in terms of their asymptotic worst-time computational complexity. There doesn't ...
5
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3answers
107 views

What defines a good dataset in Deep Learning approach?

Scenario: I am trying to create a dataset with images of choice for different animal classes. I am going to train those images for classification using CNN. Problem: Lets assume I somehow don't have ...
5
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1answer
57 views

What is the relationship between robustness and adversarial machine learning?

I have been reading a lot of articles on adversarial machine learning and there are mentions of "best practices for robust machine learning". A specific example of this would be when there are ...
5
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1answer
118 views

Are the ideas in the paper “Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour” novel?

In the paper Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour, the authors seem to be presenting a black box method of testing. Are these ideas really new? Weren't these ...
5
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1answer
92 views

Context-based gap-fill face posture-mapper GAN

These images are handmade, not auto-generated like they will be in production. Apologies for inaccuracies in the graph overlay. I am trying to build an AI like that displayed in the diagram: when ...
5
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3answers
115 views

What machine learning algorithm should be used to analyze the relationship between strings?

I am trying to build a neural network that takes in a single string, ex: "dog" as an input, and outputs 50 or so related hashtags such as, "#pug, #dogsarelife, #realbff". I have thought of using a ...
5
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1answer
75 views

State of the art and possible development of judging AIs in laws field

I'd like a general explanation of that in AIs that were to mimic judges, prosecutors or lawyers, on very general terms they would act on this way for each case: A judge AI would give a verdict, ...
5
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2answers
116 views

Feasibility of an AI assistant to expedite game development?

Basically, an AI that can create, rig, and texture 3d models and game environments (by extrapolating from collections of reference models, according to user input), and that can set up physics and ...
5
votes
1answer
239 views

Building AI from chess - data shape from simulation

Problem My problem is the following: Given 1000 wins, losses, and ties from a chess simulation I am using, what shape should each game be (I.e., sequence of moves leading to win/loss/tie) in order to ...
5
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2answers
76 views

Two data classes for a convolutional neural network, can one have a LOT more images for training than the other?

I have two classes in the training set: one that has images with a feature and the other of images without that feature. Can there be a LOT more images with "no feature" so I can fit in all possible ...

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