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Questions tagged [theory]

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

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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 ...
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 ...
11
votes
2answers
371 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
564 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 ...
10
votes
3answers
365 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 (...
10
votes
4answers
228 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 ...
8
votes
4answers
262 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 ...
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?
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 ...
7
votes
3answers
330 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 ...
7
votes
3answers
699 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)?
6
votes
9answers
523 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, ...
6
votes
3answers
125 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 ...
6
votes
1answer
57 views

Is there a way to understand neural networks without using the concept of brain?

Is there a way to understand, for instance, a multi-layered perceptron without hand-waving about them being similar to brains etc? For example: it is obvious that what a perceptron does is ...
6
votes
3answers
90 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 ...
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 ...
5
votes
3answers
231 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 ...
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 "...
4
votes
3answers
97 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/...
4
votes
2answers
610 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 ...
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 ...
4
votes
2answers
475 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-...
4
votes
3answers
118 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 ...
4
votes
4answers
214 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
votes
7answers
367 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 ...
3
votes
4answers
105 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 ...
3
votes
3answers
275 views

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

I think that AI perceive the world. Can an AI be sentient?
3
votes
2answers
998 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
3answers
733 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
1answer
261 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 ...
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
1answer
74 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 ...
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
104 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. ...
3
votes
0answers
32 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 ...
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 ...
3
votes
2answers
65 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, ...
3
votes
1answer
143 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?
2
votes
2answers
140 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
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 ...
2
votes
1answer
93 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 ‘...
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% ...
2
votes
2answers
88 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 ...
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?
2
votes
1answer
33 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
1answer
85 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
165 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 ...
2
votes
1answer
13 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 ...
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?
1
vote
1answer
99 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 ...