Questions tagged [theory]
Use for questions on AI theory and other theoretical subjects related to AI.
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2answers
27 views
Will a neural network always predict the correct label if it sees the exact same input during training and testing?
If I'm performing a text classification task using a model built in Keras, and for example, am attempting to predict the appropriate tag given a Stack Overflow question:
"how to subtract 1 from an ...
3
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4answers
136 views
If AI can perceive, can it be sentient? [duplicate]
AI should be perceiving - I think. There are debates around the world about the intelligence of an Super-Intelligent AI. I'm curious whether AI can have sentience or not.
0
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1answer
23 views
Is AI truly doing anything that we can consider ''intelligent'' outside of subjective perception of what we perceive to function?
Artificial intelligence seems like a modelling program for interfaces of possible processes forming into another possible or greater architectures of further or differing processes. In what capacity ...
1
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1answer
42 views
How important are notations for Artificial Intelligence?
According to WIkipedia, a notation is a semiotics term to describe artistic disciplines. Famous examples are: chess notation, Siteswap notation for juggling, Labanotation for dancing, basketball play ...
0
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1answer
38 views
Can I filter barking sounds on the tele?
My dog goes bonkers every time the sound of a barking dog is heard on a television program. I never noticed this before but literally every movie or show with an outdoors setting eventually includes ...
-1
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0answers
12 views
Pros and cons of batch normalization
One of the pros of batch normalization is to keep some kinds of in-variants(such as colour invariant). As an example, if the data-set contain only black cats, the trained NN can still recognize the ...
1
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0answers
23 views
Why does the “reward to go” trick in policy gradient methods work?
In policy gradient method, there's a trick to reduce a variance of policy gradient. We use causality, and remove part of the sum over rewards so that only actions happened after the reward are taken ...
1
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0answers
23 views
How Dempster-Shafer theory work in AI?
How does Dempster-Shafer theory work in representing ignorance in AI field?
4
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3answers
97 views
Is an algorithm that is no longer actively learning an AI?
This question assumes a definition of AI based on machine learning, and was inspired by this fun Technology Review post:
SOURCE: Is this AI? We drew you a flowchart to work it out (Karen Hao, MIT ...
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3answers
105 views
How does Tara AI work?
Cisco and other companies are using Tara AI—a matching tool that connects IT projects with freelancers who have the exact skills required to complete them.
Looking for an explanation of how Tara AI ...
2
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1answer
53 views
Is the proposal that more power leads to more intelligence correct?
One of the somewhat subliminal and entirely unsubstantiated assumptions we hear is that more computing power will allow us to approximate human intelligence — that quantitative augmentation will ...
2
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6answers
2k views
Best movies about artificial intelligence? [closed]
I am a CS student, our professor gave an assignment that each group of our class should watch at least 5 movies based on artificial intelligence, then discuss and share with the whole class. Can ...
4
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2answers
42 views
Optimization of many vs few features
Let's say there's an optimization problem of 10 elements.
If I try to optimize it, I'll get to some result. (***)
My question is, if somehow I start optimizing while having 3 elements already solved ...
2
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2answers
220 views
What is a learning agent and how are they applied?
I'm new to AI and and would like to understand the difference between learning agents and other types of agents, in what ways learning agents can be applied, and if they differ from deep learning.
7
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4answers
174 views
Spontaneous emergence of replicators in Artificial Life
One of the corner stones of The Selfish Gene (Dawkins) is the spontaneous emergence of replicators, i.e. molecules capable of replicating themselves.
Has this been modeled in silico in open-ended ...
3
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2answers
49 views
The possibility of emerging of the psychology of an artificial intelligence
The question, in short, is: what the possibility of emerging of the new branch of the psychology - the psychology of an artificial intelligence?
Possibly as a new branch of an engineering psychology, ...
8
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2answers
185 views
Is The Singularity something to be taken seriously?
The term Singularity is often used in mainstream media for describing visionary technology. It was introduced by Ray Kurzweil in a popular book in 2005. (1)
In his book, Kurzweil gives an outlook to ...
3
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1answer
61 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 ...
6
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3answers
437 views
Why does the discount rate (γ) in the Monte-Carlo Policy-Gradient Method (episodic) appears twice?
I was reading the book Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto (complete draft, November 5, 2017).
On page 271, the pseudo-code for the episodic Monte-Carlo ...
7
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4answers
210 views
How do you program fear into a neural network?
If you've been attacked by a spider once chances are you'll never go near a spider again.
In a neural network model, having a bad experience with a spider will slightly decrease the probability you ...
4
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3answers
72 views
Can we make a chatbot that UNDERSTANDS not just answer questions based on his database?
Can we really make a chatbot that understands (rather than just replies to) questions based on the database/options of replies that it has? I mean, can it come up with correct/non-stupid replies/...
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1answer
47 views
How important will statistical learning be to a conscious AI?
Deep learning is based on getting a large number of samples and essentially making statistical deductions and outputting probabilities.
On the other hand we have formal programming languages like ...
4
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4answers
192 views
What if there's a game where all the AI people actually lived?
Imagine the fictitious scenario in a role playing game (RPG) where the non-playing characters (NPCs) within the RPG are conscious of their own surrounding and consider the developer to be god. The ...
3
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3answers
62 views
Could an AI be built to learn based of interaction with a human?
Following my recent chat on this network, I have been advised to form this question.
Background: Currently a neural network or deep-learning/machine learning is programmed to interact with specific ...
3
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2answers
70 views
Google's Principles of Artificial Intelligence
Earlier this month, Google released a set of principles governing their AI development initiatives. The stated principles are:
Objectives for AI Applications:
Be socially beneficial.
...
1
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4answers
128 views
Limits of artificial emotional intelligence?
I would like to know:
Would people go far with Artificial Intelligence and machine learning to the point where machines could learn during a long period of time to distinguish what's 'good' from 'bad'...
2
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1answer
116 views
Reinforcement Learning over an MDP that is actually a POMDP
Look at Breakout:
We know that the underlying world behaves like an MDP, because for the evolution of the system it just need to know which is the current state, i.e. position, speed and speed ...
10
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2answers
228 views
Is there any scientific/mathematical argument that prevents deep learning from ever producing strong AI?
I read Judea Pearl's The Book of Why, in which he mentions that deep learning is just a glorified curve fitting technology, and will not be able to produce human-like intelligence.
From his book ...
2
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2answers
406 views
Potential-based Reward Shaping gives too negative reward
I'm working on a Reinforcement Learning task where I use reward shaping as proposed in [1]. In short, my reward function has this form:
...
4
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1answer
80 views
Is it possible to build an AI that learns humanity, morally?
It is a new era and people are trying to evolve more in science and technology. Artificial Intelligent is one of the ways to achieve this. We seen lots of examples for AI sequences or a simple "...
7
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2answers
95 views
Measuring Soft Skill
How can we attach numerical value to the measurement of soft skill? Is there any book, site or materials that can teach me how to do this?
I want to know if there is any way we can measure soft skill ...
3
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7answers
238 views
Why are we asking, “How can we simulate the brain?”
As I've thought about AI, and what I understand of the problems that we face in the creation of it, I've noticed a recurring pattern: we always seem to be asking ourselves, "how can we better simulate ...
7
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3answers
136 views
Compound intelligence?
A question about swarm intelligence as a potential method of strong general AI came up recently, and yielded some useful answers and clarifications regarding the nature of swarm intelligence. But it ...
1
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0answers
137 views
Analogies and similarity
The more I think about machine learning the more I realize the importance of finding similarities by using analogies as a way of learning.
If I want to categorize words into hierarchical tree this ...
4
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3answers
93 views
Algorithms can be greedy. What are some other algorithmic vices?
Greedy algorithms are well known, and although useful in a local context for certain problems, and even potentially find general, global optimal solutions, they nonetheless trade optimality for ...
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5answers
5k views
What are the current theories on developing a conscious AI?
Is most development or theory geared towards the idea that consciousness is an emergent phenomenon? That once we put enough complexity into our system, it will become self-aware? Or is this even a ...
2
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0answers
102 views
Deep Neural Network and learnable
Gold and Vapnik proved that what are learnable are only data of finite demension or set of language without infinite language, that is only algorithms with computational complexity weaker than NP or ...
3
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1answer
65 views
How can computers beat humans at image recognition?
For supervised learning, humans have to label the images computers use to train in the first place, so the computers will probably get wrong the images that humans get wrong. If so can computers beat ...
4
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2answers
362 views
At what rate could AI theoretically self-improve?
Due to recursive self-improvement, AI could lead to an intelligence explosion improving on itself year over year exponentially.
Assuming the proper environment was created to allow an AI to self-...
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3answers
191 views
Has it been theoretically proven or dis-proven that a machine can generally think and communicate on its own?
I am not looking for proof of AI (too broad, I know) concepts trying to solve a specific business problem, instead for a proof (or dis-proof) or a model (or a source of the same) where a machine is ...
3
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2answers
397 views
Are Dreams a Form of Backpropagation?
Humans often dream of random events that occurred during the day. Could the reason for this be that our brains are backpropagating errors while we sleep, and we see the result of these ...
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3answers
166 views
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5answers
173 views
Is it possible for an AI to work in a computer without the power cord being plugged in?
Could an Artificial Intelligence be able to interact (see, talk, etc.) with someone even when there's no power cord connected to the machine it's running on? Might it find some way to generate its own ...
9
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1answer
357 views
Are Cellular Neural Networks one type of Neural Networks?
I am researching Cellular Neural Networks and have already read Chua's two articles (1988). In cellular neural networks, a cell is only in relation with its neighbors. So its is easy to use it for ...
