Questions about design and properties of agents that act in a dynamic environment and make decisions towards some goal without user control.
Questions tagged [artificial-intelligence]
572 questions
21
votes
3 answers
When should I learn artificial intelligence?
Straight to the point: I would really like to learn AI.
But I want some advice from experienced CS guys as to when I should jump into Artificial Intelligence.
What prerequisites are needed in order for me to better grasp the AI concepts?

cprogcr
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14
votes
1 answer
Reachable state space of an 8-puzzle
I've just began studying Artificial Intelligence and am wondering why the reachable state space of an 8-puzzle is $9!/2$. I see that the number of permutations of the tiles is $9!$ but it is not immediately obvious why half the possible states of…

Cam
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13
votes
4 answers
Water Jug Problem in AI
In AI we can classify a problem in 3 classes, ignorable, recoverable or irrecoverable problems. Now while reading Water jug Problem
I am wondering in which of these 3 class it should fall? It should reside under recoverable right? As we can go…

Turing101
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5
votes
1 answer
Solving problems related to Marginal Contribution Nets
So, I encoutered this problem in examination:
Consider the following marginal contribution net:
$\{a \wedge b\} \to 5$
$\{b\} \to 2$
$\{c\} \to 4$
$\{b \wedge \neg c\} \to −2$
Let $v$ be the characteristic function defined by these rules. Give the…

Daulet
- 53
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4
votes
1 answer
Any significance to why a lot of big names in AI have math PhD?
I've been looking into AI research and I've noticed a nontrivial amount of individuals either received a PhD in math or had advisors who received a PhD in math. Some names include (Ben Goertzel, Marvin Minsky, Jürgen Schmidhuber).
I can see how a…

ozarka
- 141
- 1
4
votes
1 answer
How are artificial intelligence and Natural intelligence compared?
I can remember reading that computer intelligence is heading (or maybe the most powerful ones already have) towards the Natural intelligence of a four-year-old child. But how are the two kinds of intelligence compared?
4
votes
1 answer
Explanation of the knowledge representation hypothesis (Brian Smith)
In 1982 Brian Smith proposed his Knowledge Representation Hypothesis:
Any mechanically embodied intelligent process will be comprised of
structural ingredients that
we as external observers naturally take to represent a propositional account of…

xonya
- 143
- 3
4
votes
3 answers
Rational agent question from Russell and Norvig
Question from Artificial Intelligenge: A Modern Approach by Russell and Norvig (Exercise 2.1).
Suppose that the performance measure is concerned with just the first
$T$ time steps of the environment and ignores everything thereafter.
Show that…

zrbecker
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- 9
3
votes
1 answer
Effective AI for one player-one ghost pacman
I am thinking of a modified version of pacman. In this version, it will be a two-player game. Each player will have one pacman and one ghost. So there are 2 pacmans and 2 ghosts in the board at a time. No additional ghost is there. A player will…

Preetom Saha Arko
- 171
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3
votes
0 answers
Why isn't there a big HTM machine already?
I've been reading a bit about Hierarchical Temporal Memory and Memory Prediction. I found a great paper: How the brain might work: A hierarchical and temporal model for learning and recognition, Dileep George's dissertation for his PhD at Stanford.…

Bartlomiej Lewandowski
- 131
- 3
2
votes
1 answer
Rational versus intelligent agents
Question about "Artificial Intelligence: A Modern Approach by Russell and Norvig"
I have issue to distinguish clearly between intelligent and rational agent presented by Norvig and Russel. What I understand is that rational agent think and act like…

ranell
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2
votes
0 answers
Is one of the Advantages of AI symbolic systems the fact they are good at abstraction and modularity according to Minsky and Papert?
I was reading Perceptron's by Minsky's and Papert's book and there is a part where they discuss symbolic systems and one part of it says:
Symbolic systems yield gains of their own...Above all else they offer
us the prospect that computers share:…

Charlie Parker
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2
votes
2 answers
What are the differences between approximation of AIXI and deep reinforcement learning
AIXI is a theoretical formulation for artificial general intelligence. While AIXI is computationally intractable, there are approximations of AIXI like https://arxiv.org/abs/0909.0801 that are computable.
Some time ago, I stumbled upon theoretical…

Petercommand Hsu
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2
votes
1 answer
In Lbest PSO, how is the local best position in a neighbourhood defined?
I am implementing a couple of PSO (particle swarm optimization) algorithms, and I got stuck on a bit of detail which I could not clearly determine from the papers I have read. In lbest PSO, for each particle, the velocity update step takes the best…

Phlippie Bosman
- 135
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2
votes
1 answer
How come the branching factor of chess is 35?
I was studying about minmax algorithms and it said the branching factor of a chess game is around average 35. Meaning a player can move about 35 legal moves per position.
I am not able to comprehend this.Like if I do the opening in chess I was able…

Shad
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