Questions about design and properties of agents that act in a dynamic environment and make decisions towards some goal without user control.

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0
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1answer
28 views

What is a sufficiently complex system?

I have been reading about the AI approaches, and I came across the AI emergent approach that has the following definition: That is, the appearance of an entity with a sense of its own identity and ...
0
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1answer
71 views

Why can't we solve the Halting Problem by using Artificial Intelligence? [duplicate]

Yesterday I was reading about Computability and they mention the Halting Problem. It got stuck in mind all day until I remember that some weeks ago, when learning Java, the IDE (Netbeans) show me a ...
0
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1answer
27 views

Updating connections weights in neural networks

I am learning about neural networks and have a couple of things I don't understand. Firstly, in competitive learning I understand that only the neuron with the strongest output is reinforced. That is ...
0
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0answers
49 views

Iterative lengthening search: iterative version of Uniform Cost Search or DFS?

Actually my question has two parts: 1) I wanted to know that whether Iterative Lengthening Search is used in combination with DFS or Uniform Cost Search? Actually, in Russell and Norvig book (on page ...
1
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0answers
20 views

Research work on computational models for a “specific” person's behaviors

Is there active research work on creating computational models of a "specific" person's behaviors (general behaviors, emotions, actions...)? What are some references for such research? I tried google ...
14
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4answers
4k views

Did 'Eugene Goostman' really pass the Turing test?

It is being said that 'Eugene Goostman', a computer programme developed to simulate a 13-year-old boy, managed to convince 33 per cent of the judges that it was human, and thus passed the Turing Test. ...
0
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0answers
14 views

Previous approaches for encoding physical affordances

From Wikipedia, an affordance is: a relation between an object or an environment and an organism, that affords the opportunity for that organism to perform an action Previously what approaches ...
0
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1answer
18 views

What is a continuous environment for an agent?

I know the environment of an intelligent agent is divided to discrete and continuous. But I think they are relevant to sensors and actuators of the agent itself. Moreover, environment may have many ...
0
votes
2answers
45 views

Which type of computer programs could be called intelligent agents?

I know some computer programs can be modeled as intelligent agents, for example a chess program which plays against a human. The environment is the chess board stored in the memory and actuators are ...
0
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0answers
17 views

Can Ontologies be used for defining tactics and technical features?

The generic use of ontologies is defining terms and relations between them in a specific domain. And in some cases they are used with the cognitive architectures to make intelligent agents for ...
4
votes
4answers
206 views

What are the practical uses of ontologies?

I have read many papers and books about ontologies and I am trying to figure out that how they are used in a real project? For example how the ontology for a soccer player robot can be defined and ...
3
votes
0answers
84 views

Who coined the term “artificial intelligence”?

The most obvious (and commonly given) answer to this question is John McCarthy, but I have traced the first usage of this term to a 1955 paper, which McCarthy co-authored with Marvin Minsky, Nathaniel ...
1
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0answers
43 views

Formulating an arrangement problem with STRIPS

The problem is rearranging furniture in a flat. We are given rectangular rooms of natural width and height with doors between them, (the walls have no width) and rectangular furniture at starting ...
1
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1answer
75 views

Cognitive Computing vs Artificial Intelligence?

Can anyone please tell me the difference between them? A brief definition of Cognitive Computing would appreciated. Also how does cognitive computing relate to neural networks? Thank you~
1
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0answers
164 views

What is an example of Licklider’s idea of man-machine symbiosis in constructing information systems?

I am trying to understand Licklider’s idea of man-machine symbiosis in the real world, does anyone know of any real world examples of the use of a man-machine symbiosis? Would it be correct to say ...
-1
votes
1answer
46 views

Books to get prepared before self studying Artificial Intelligence [closed]

I want to study Artificial Intelligence from Artificial Intelligence: A Modern Approach by Russell and Norvig, in the mid-year vacation. I want to get prepared before diving into the book so I decided ...
1
vote
1answer
49 views

negative effective branching factor it's possible?

i've implemented A* algorithm in python,after that i calculate with this python function the effective branching factor $ B^* $ $ T+1=1+B^*+(B^*)^2+⋯+(B^*)^L$ where $T$ is the number of expanded ...
0
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1answer
40 views

Why do heuristic functions only approximate the real value of the cost?

As stated in the title I'm wondering why do heuristic functions only approximate the real value of the cost? I understand it can never overestimate, but can it ensure the cost is accurate?
2
votes
3answers
73 views

Can someone clarify this unification algorithm?

I've been having trouble understanding a unification algorithm for first order logic, as I don't know what a compound expression is. I googled it, but found nothing relevant. I also don't know what a ...
3
votes
1answer
145 views

Genetic Algorithm, Neural Network, Deep Learning, Machine Learning Similarities and Applications? [closed]

I am a computer engineering student and trying to get the idea behind all these Artificial Intelligence Concepts and applications. I know little theoretically about machine learning and some high ...
2
votes
2answers
105 views

ANN - Backpropagation with multiple output neurons

Can I utilize the backpropagation algorithm in a layered, feed-forward ANN in instances where there are multiple output neurons? If so, how? Links to (somewhat) comprehensible resources would be ...
0
votes
1answer
33 views

what is the general name of this problem?

what is the general name of a problems where learning agent observe new data as a learning goes on. For example when playing platformer games one must incrementally learn new level areas and states ...
1
vote
1answer
39 views

Programs for artificial system design? [closed]

Are there program systems that can discover the need of routines - and then design them, code them and use them as parts of the system? Any group of humans trying to pursue an activity has to ...
1
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0answers
41 views

Formula for number of parameters in an undirected graphical (probability) model

I have googled endlessly, and I cannot find it. Can anyone point me to a reference that gives a way to calculate the number of parameters in an undirected Graphical Model? Adapting from the similar ...
0
votes
2answers
65 views

Why is And-Or-Graph-Search called a search algorithm?

An algorithm in Artificial Intelligence: A Modern Approach for planning in stochastic, fully observable environments is called And-Or-Graph-Search, implying that it's a search algorithm. However, I ...
3
votes
0answers
69 views

Prerequisites for AI and machine learning [closed]

I am interested in the field of AI and machine learning and I am fairly good at mathematics and statistics and programming in general. However I lack a formal CS education and my undergraduate degree ...
0
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1answer
83 views

Forward checking with conflict directed backjumping [closed]

Can somebody explain me how can I join forward checking with conflict directed backjumping in my CSP solver? I understand that when the consistency fails when I add a value to a variable, I should ...
0
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0answers
6 views

Hierarchical reinforcement learning exploration methods

One of the extensions to hierarchical reinforcement learning is change the degree of randomness that is applied while choosing an action. It is possible to increase the randomness to encourage ...
0
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0answers
43 views

A* cost implications of arbitrary/dynamic point on edge in navmesh

I currently have a working implementation of A* using navigation meshes. Agents are moving around a 3d navigation mesh, reaching their target, however often a sub-optimal path is chosen, when ...
4
votes
2answers
782 views

How is a Turing Test defined?

Turing Test definition taken from wikipedia: The Turing test is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. In the ...
1
vote
1answer
53 views

How to properly solve this Hidden Markov Model problem?

I got a an exercise problem which should be seen as a HMM scenario and argument some statements. However I'm quite confused about how to properly solve and argument my solutions. Problem tells: ...
1
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0answers
35 views

Intelligent Agents-Probability and Beliefs

I am reading about probability and beliefs in artificial intelligent agents, and came across the following passage: Why the axioms of probability are reasonable The axioms of probability can ...
0
votes
1answer
64 views

Find path to point and avoid bear

I'm so far a self taught programmer who's mostly been working on simple web and app development. But now my teacher wants me to enter a school competition in programming. Of course the competition is ...
0
votes
1answer
21 views

ANN architectures that perform faster/efficient prediction over time?

ANN when compared to biological neural systems have this common concept of reducing error in prediction over time (training) and becoming more good at predicting correctly. But there is one behavior ...
-1
votes
1answer
40 views

Understanding A* Search on Tropical Island

I am working on an online course on AI and I am now working to understand A* better. Basically, right now I am working on a problem where: we live on a tropical island and we're trying to navigate ...
1
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0answers
117 views

Mini-Games for Artificial Intelligence Course [closed]

I am going to have Introduction to Artificial Intelligence in this semester & I know that our main resource would be "Artificial Intelligence A Modern Approach", since I want to learn deeply and ...
0
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0answers
10 views

Hierarchical learning in a non-static environment

I've been reading about hierarchical reinforcement learning (HRL), in particular it's application to a simple delivery task as show here. While reading the paper, I noticed that the environment ...
2
votes
1answer
77 views

Is there a program that will tell you the optimal algorithm for ANY problem if the problem is decidable? [duplicate]

Is there a program that will tell you the optimal algorithm for ANY problem if the problem is decidable? If not, why not? If yes, how can such a program be realistically constructed? I would prefer ...
5
votes
3answers
303 views

Difference between weak and strong AI

I'm trying to understand the difference between weak and strong AI. For an example, let's say we would pass the turing test - would it show strong AI or weak AI then? I don't believe that this is ...
0
votes
1answer
73 views

Automatically generate meaningful queries for a data table

My field of research is not Database or AI. But I have some problems to solve, and would like to know which branch this kind of problems belong to, and what are the results. The main question is: ...
2
votes
2answers
70 views

Is it possible to implement a Neural Network using a graph data structure?

I'm trying to implement a feedforward neural network using a graph. The thing is: I haven't found any example in which is used a graph data structure. So far the examples I've found used arrays. Can ...
1
vote
1answer
49 views

Generating hard puzzles for a backtracking snake

Let $M$ be a matrix of height $h$ and width $w$. Each entry of $M$ is an integer. There is a snake that starts from the "left side" of $M$, and its goal is to reach the "right side" of $M$. To get ...
0
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0answers
53 views

Activity prediction in a kitchen

Here is the scenario: There are three chefs(A- main chef, B and C- assistant) working together to prepare a diner set. The sequence of the event is as following. Start: The three chefs enter the ...
1
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3answers
86 views

Are neural networks dynamical systems?

Dynamical systems are those whose evolution can be described by a rule, evolves with time and is deterministic. In this context can I say that Neural networks have a rule of evolution which is the ...
2
votes
1answer
56 views

Closed form solution for a single layer linear perceptron

Let f be a one-layer neural network which is linear (ie. no activation function). Let it have $p$ inputs and $q$ outputs. These are fully connected by weights $W$. We have $n$ inputs $x \in ...
1
vote
1answer
95 views

What are practical applications of AI Planning? [closed]

note: any tips toward making this more constructive will be highly appreciated. I've dealt with ai-related problems, from searching algorithms, to computer vision, to machine learning. However none ...
1
vote
1answer
302 views

Understanding Decision Stump in Adaboost

I am trying to understand how Adaboost works, and many of the tutorials online involve the use of a decision tree stump. For example, http://www.cc.gatech.edu/~thad/6601-gradAI-fall2013/boosting.pdf ...
3
votes
1answer
44 views

Why does ε-greedy $Q$-learning not oscillate?

I have a intuitive question on the convergence of $Q$- learning. In $Q$ learning for each step a $Q$- value is learned for the state-action pair where the action is selected according to the ...
1
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0answers
63 views

What is the difference between “objective function”, “error function”, “criterion function” and “cost function” in the context of neural networks?

The title says it all: I have seen three functions so far, that seem to be the same / similar: error function criterion function cost function objective function I am currently working on ...
-1
votes
1answer
20 views

Training Error & Convergence to True Error

I Take some online class for Machine Learning. one of teacher say this sentence. if we have m data points, the training error converges to the true error as m → ∞. i thought, this sentence not ...