Questions tagged [theory]
Use for questions on AI theory and other theoretical subjects related to AI.
0
votes
2answers
80 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
1answer
18 views
How should a researcher work out if the conflicting findings support, modify or challenge a particular theory? [on hold]
In social sciences, theories are not rejected outrightly based on a few contradictory observations. How a researcher should work out if the conflicting findings support, modify or challenge a ...
2
votes
1answer
30 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 ...
-1
votes
0answers
31 views
How IDS* is better than A* algorithm? [closed]
A* has consistency,monotinicity and triangle inequality while IDS* have different properties so which algorithm is better to find out the shortest path to solve the problems
2
votes
6answers
1k 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 ...
0
votes
0answers
27 views
What is a goal based agent?
What is a goal based agent and how are goal-based agents applied in artificial intelligence?
(For instance, can neural networks be goal based?)
3
votes
2answers
31 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
votes
2answers
43 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.
6
votes
4answers
133 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 ...
1
vote
2answers
35 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, ...
0
votes
0answers
39 views
Is my cart-pole agent behavior expected under these circumstances?
I'm trying to solve the cart-pole problem from Open-AI. For this task I'm using a one step actor-critic algorithm. The purpose of this implementation is mainly to study. For this reason I'm using a ...
8
votes
2answers
170 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
votes
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 ...
5
votes
2answers
386 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
votes
4answers
198 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
votes
3answers
69 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/...
-1
votes
1answer
45 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
votes
4answers
182 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
3answers
53 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
votes
2answers
64 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
vote
2answers
96 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
votes
1answer
90 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
votes
2answers
199 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 ...
1
vote
2answers
210 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
votes
1answer
78 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
votes
1answer
81 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
votes
7answers
227 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
votes
3answers
104 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
vote
0answers
91 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
votes
2answers
75 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 ...
20
votes
5answers
4k 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
votes
0answers
74 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
votes
1answer
64 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
273 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-...
6
votes
3answers
186 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
votes
2answers
309 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 ...
-2
votes
3answers
158 views
-4
votes
5answers
165 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
votes
1answer
303 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 ...
