Questions tagged [theory]

Use for questions on AI theory and other theoretical subjects related to AI.

Filter by
Sorted by
Tagged with
1
vote
1answer
20 views

Why is image classification tasks are dominated by minimizing cost function instead of maximizing ones?

I was watching a video of policy gradient by Andrej Karpathy at 10:00 there shows an equation for supervised learning for image classification. $max\sum _{i}log \:p(y_i|x_i)$ I have worked with ...
6
votes
3answers
83 views

How much can the addition of new features improve the performance?

How much can the addition of new features improve the performance of the model during the optimization process? Let's say I have a total of 10 features. Suppose I start the optimisation process using ...
2
votes
1answer
83 views

Can NEAT produce neural networks where inputs are directly connected to outputs?

Can NEAT produce neural networks where inputs are directly (without intermediate hidden neurons) connected to outputs?
2
votes
1answer
12 views

Independance of Gradient of feedforward neural network

Can the gradient of a feedforward neural network at a layer be assumed to be independent of the activations of the previous layers ? I read this in a paper titled "Mean Field Residual Networks: On the ...
3
votes
1answer
140 views

Are human brain processes, like creativity, intuition or imagination, computable processes?

Are human brain processes, like intuition, creativity, imagination and the ability to create art, computable processes?
3
votes
2answers
64 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, ...
10
votes
3answers
363 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 The Singularity Is Near: When Humans Transcend Biology (...
0
votes
1answer
73 views

How can I systematically learn about the theory of neural networks?

I have seen a few articles about neural nets. Mostly they went along these lines: we tried these architectures, these meta parameters, we trained it for $x$ hours on $y$ CPUs, and it gave us these ...
3
votes
2answers
995 views

What should I do when the potential value of a state is too high?

I'm working on a Reinforcement Learning task where I use reward shaping as proposed in the paper Policy invariance under reward transformations: Theory and application to reward shaping (1999) by ...
3
votes
0answers
31 views

Is it possible to control asymptotic behaviour of neural network models?

Is it possible to specify what the asymptotic behaviour of a Neural Networks (NN) model should be? I am thinking on NN which try to learn a mapping $\vec y=f(\vec x)$ with $\vec x$ a vector of ...
6
votes
9answers
521 views

Can Neural Networks self-optimize?

Suppose that you show a neural network its own code, and allow it to edit itself? Can a neural network modify its own weights and architecture (the number of layers, the number of neurons per layer, ...
5
votes
6answers
2k views

What are the most instructive movies about artificial intelligence?

The field of AI has expanded profoundly in recent years, as has public awareness and interest. This includes the arts, where fiction about AI has been popular since at least Isaac Asimov. Films on ...
37
votes
4answers
9k views

Are neural networks prone to catastrophic forgetting?

Imagine you show a neural network a picture of a lion 100 times and label with "dangerous", so it learns that lions are dangerous. Now imagine that previously you have shown it millions of images of ...
4
votes
1answer
113 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 ...
2
votes
0answers
38 views

Why do neural networks have bias units?

Why do neural networks have bias units? Why is it sometimes okay to opt them out?
0
votes
0answers
70 views

Help and guide books in the study of AI

Useful knowledge is costly to obtain. Above all books require a substantial investment. I have bought 6 books on AI. For ...
2
votes
1answer
92 views

What are the types of artificial intelligence and how are they measured?

I was reading an interesting book about the role of AI in Cybersecurity, and the author mentioned there being 3-4 types. Each one is dependent on its abilities and understanding. For example, a ‘...
3
votes
3answers
732 views

Does artificial intelligence write its own code?

Does artificial intelligence write its own code and then execute it? If so, does it create separate functions for each purpose?
3
votes
4answers
104 views

Could an AI be built to learn based of interaction with a human?

A neural network is usually programmed to learn from datasets to solve a specific problem. Essentially, they perform non-linear regression. Could a neural network be programmed to receive input from ...
1
vote
1answer
94 views

What is an agent in Artificial Intelligence?

While studying artificial intelligence, I have often encountered the term "agent" (often autonomous, intelligent). For instance, in fields such as Reinforcement Learning, Multi-Agent Systems, Game ...
7
votes
3answers
643 views

What is a learning agent?

What is a learning agent, and how does it work? What are examples of learning agents (e.g., in the field of robotics)?
3
votes
1answer
2k views

What is the difference between simple reflex and model-based agents?

What is the difference between simple reflex and model-based agents? What is the role of the internal state, in the case of model-based agents?
3
votes
2answers
1k views

What is the difference between learning and non-learning agents?

What is the difference between learning agents and other types of agents? In what ways learning agents can be applied? Do learning agents differ from deep learning
3
votes
3answers
268 views

If AI can perceive, can it be sentient? [duplicate]

I think that AI perceive the world. Can an AI be sentient?
1
vote
1answer
74 views

Can I filter barking sounds on the television?

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 ...
2
votes
1answer
32 views

Is explainable AI more feasible through symbolic AI or soft computing?

Is explainable AI more feasible through symbolic AI or soft computing? How much each paradigm, symbolic AI and soft computing (or hydrid approaches), adresses explanation and argumentation, where ...
2
votes
2answers
87 views

Would an artificial general intelligence have to be Turing complete?

Artificial general intelligence is the intelligence of a machine that could successfully perform any intellectual task that a human being can. Would an artificial general intelligence have to be ...
1
vote
4answers
263 views

Can an AI distinguish between good and bad according to people living in a restricted geographical area?

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' according to people ...
7
votes
4answers
97 views

What does learning mean?

Can someone explain what is the process of learning? What does it mean to learn something?
2
votes
1answer
56 views

What are the known ways to test AI black boxes?

Is there any conmprehensive paper or site that describes an overview of the known black box testing techniques?
11
votes
2answers
366 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 ...
11
votes
1answer
562 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 ...
1
vote
0answers
16 views

Theoretical grounding for ease of training with a prior

If we have a neural network that learns the generative model for P(A, B, C) And now, we want to learn the generative model for P(A, B, C, D) Is there any theory that says learning P(A,B,C) and then ...
5
votes
2answers
127 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 "...
1
vote
3answers
162 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 ...
0
votes
0answers
20 views

Superhuman AI to disguise as human players

TL;DR below. You entered a online mini video game. It's a fast-paced hypercasual game. But it's a ranked one - top 10 get prizes. The leaderboard resets and prizes are handed out every couple of ...
2
votes
2answers
139 views

Will an AI ever understand its own functionality?

Assuming i have a quite advanced AI with consciousness which can "understand" basics of electronics and software structures. Will it (he/she) ever be able to understand that its consciousness is just ...
2
votes
1answer
75 views

Neural nets need a short term memory of some sort

I notice with the recent revelation of severe limitations in some AI domains such as self driving cars that NNets behave with the same sort of errors as in simpler models. Ie: They may be ~100% ...
1
vote
1answer
28 views

Is Intelligence a naturally occurring function of Information Technology?

Here intelligence is defined as any analytic or decision making process, regardless of strength (utility), and, potentially, any process of computation that produces output, regardless of the medium. ...
22
votes
6answers
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 ...
1
vote
3answers
58 views

Are winning and imitating the primary indicators of intelligence?

Conjecture 1: The smartest chess playing system is the one that wins the tournament. Conjecture 2: The computer system that imitates human dialog is as smart as the human whose dialog was imitated. ...
1
vote
1answer
71 views

How would a quantum computer potentially facilitate artificial consciousness, assuming it is possible?

How would a quantum computer potentially facilitate artificial consciousness, assuming it is possible?
3
votes
0answers
23 views

Batch PTA stopping condition

I am reviewing my Neural Network lectures and I have a doubt: My book's (Haykin) batch PTA describes a cost function which is defined over the set of the misclassified inputs. I have always been ...
1
vote
0answers
67 views

An idea I had to create the first Humanoid using Deep Learning

I've come up with an idea on how we could use a combination of Deep Learning and body sensors to create a walking talking living humanoid. Here goes: First, we will recruit 1 billion people and have ...
3
votes
1answer
251 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 ...
2
votes
2answers
60 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 ...
1
vote
1answer
60 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 ...
4
votes
2answers
469 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-...
7
votes
2answers
104 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 ...
6
votes
3answers
122 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 ...