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

learn more… | top users | synonyms

0
votes
0answers
8 views

Lattice of a fuzzy number?

Can somebody define what is a fuzzy lattice? How to compute lattice of a fuzzy number? Please try to be generic and basic in the explanation as I'm a beginner in studying fuzzy theory and soft ...
1
vote
1answer
31 views

the meaning of heuristics in artificial intelligence

I would like to know what 'heuristics' actually means in artificial intelligence. For example, I am reading a paper by Engelbrecht on the convergence analysis of the particles of the algorithm. The ...
1
vote
0answers
37 views

Is it even theoretically possible to invent coumputers that are more intelligent than humans? [on hold]

I've read an article recently where Stephen Hawking claims that in hundred years there will be computers, which are more intelligent than humans. Link: ...
1
vote
1answer
48 views

Perceptron learning rule past exam question

I'm struggling to solve this past paper question and my lecturer is being less than helpful. The question is: Apply the perceptron learning rule to update the current weight vector (0.1, 0.3) when ...
0
votes
0answers
19 views

How to apply Alpha-Beta pruning to a game tree? (Algorithms Theory)

I'm studying for an AI exam, and having trouble working out this question on Alpha Beta pruning. I can answer on the effectiveness of the pruning method and the rules involved in the pruning process, ...
2
votes
1answer
46 views

What is the name of this problem in Computer Vision?

My google skills have failed me during research for a college project. Our task is write a program that describes an image in spacial terms, e.g. "Cat on the left of a chair", or for a simple image ...
0
votes
0answers
33 views

Standard problem sets for metaheuristics

I'm wanting to dabble with metaheuristics and am interested to know what the "hello world" problem sets are. In other words, what are the common problems (e.g Traveling Salesman, Vehicle Routing ...
2
votes
2answers
40 views

Why can Multilayer neural networks solve non-linear problems

I understand what a multilayer neural network is, but what about them allows them to solve non-linear problems unlike perceptrons? Is it the fact that they can extend to any number of outputs/hidden ...
1
vote
0answers
11 views

How to determine convergence when using Q-learning?

I'm using Q-Learning to find the values of states in on a gameboard. For example, something like: ...
1
vote
0answers
11 views

Adversarial Monte Carlo Tree Search Assymetry

Monte Carlo Tree Search with UCT is praised for it's assymetric tree growth, growing promising subtrees more than non-promising ones. But in a 2-player adversarial game, when a win at one node is a ...
1
vote
1answer
28 views

Is it possible to create a human thinking and acting program on a computer? [closed]

Does Artifical Intelligence need something else, something that is not so limited as a computer to achieve the goal of building a humanly thinking and acting program? If so, what might this be? I ...
1
vote
1answer
26 views

Differences between linear/nonlinear vs. deterministic/nondeterministic neural nets

When speaking of neural networks, I don't get the difference between nonlinear and non-deterministic. Basically, both say that the output of something is not directly correlated to the input? Hope ...
-1
votes
0answers
48 views

Could there be an end of (human-organized) databases? [closed]

I'm not a computer science guy but just curious about a potential decline of databases. I believe there will always be data, that's for sure, but would there always be databases? Databases are a ...
0
votes
0answers
23 views

Numerical Boardgame — Help with with a pruning method (alpha-beta : minimax)

I'm developing a simple AI to play a boardgame which consists of N x N squares, each with a predefined value. ...
0
votes
1answer
34 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 ...
1
vote
1answer
124 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
votes
1answer
35 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
votes
0answers
87 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
vote
0answers
23 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
votes
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
votes
0answers
15 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
votes
1answer
31 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
54 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
votes
0answers
19 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
241 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
88 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
vote
0answers
45 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
vote
1answer
192 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
vote
0answers
167 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
66 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
64 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
votes
1answer
42 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
95 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 ...
4
votes
1answer
203 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
192 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
36 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
40 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
vote
0answers
42 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
87 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
77 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
votes
1answer
99 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
votes
0answers
7 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
votes
0answers
58 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
796 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
2answers
71 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
vote
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
65 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
26 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
43 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
vote
0answers
124 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 ...