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  • Artificial Intelligence Project - What language should I go for?

    - by Kremlin Yocepf
    Hi, I am a computer science student and I am going to work on an artificial intelligence project which will compose a musical tune according to the genre and mood inputs. Are the algorithms to be used for this project likely to be very resource-consuming? Would it make any difference (in terms of speed) if I choose to go with Java rather than C++? (Note : I know only these two languages and I am more comfortable with Java than C++.) NB : Sorry for my poor English. If someone can, please clean up this post wherever necessary. Thanks.

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  • Using game of life or other virtual environment for artificial (intelligence) life simulation? [clos

    - by Berlin Brown
    One of my interests in AI focuses not so much on data but more on biologic computing. This includes neural networks, mapping the brain, cellular-automata, virtual life and environments. Described below is an exciting project that includes develop a virtual environment for bots to evolve in. "Polyworld is a cross-platform (Linux, Mac OS X) program written by Larry Yaeger to evolve Artificial Intelligence through natural selection and evolutionary algorithms." http://en.wikipedia.org/wiki/Polyworld " Polyworld is a promising project for studying virtual life but it still is far from creating an "intelligent autonomous" agent. Here is my question, in theory, what parameters would you use create an AI environment? Possibly a brain environment? Possibly multiple self contained life organisms that have their own "brain" or life structures. I would like a create a spin on the game of life simulation. What if you have a 64x64 game of life grid. But instead of one grid, you might have N number of grids. The N number of grids are your "life force" If all of the game of life entities die in a particular grid then that entire grid dies. A group of "grids" makes up a life form. I don't have an immediate goal. First, I want to simulate an environment and visualize what is going on in the environment with OpenGL and see if there are any interesting properties to the environment. I then want to add "scarce resources" and see if the AI environment can manage resources adequately.

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  • Of what significance is the solution to the game of checkers in AI research?

    - by cobie
    I have been doing some research into artificial intelligence and I came across a 2007 paper titled "Checkers is Solved" on the game of checkers being solved by AI techniques after more than 16 years of trial. A solution to the game is defined by the team as "determining the final result in a game with no mistakes made by either player". The search for a solution started back in 1989 and it was finally found in 2007. Of what importance is this to the field of AI?

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  • What are interesting ideas for experimenting with Artificial Neural Networks?

    - by Gerald Kaszuba
    I'm after a list of possible neural network implementations that one can do to learn how to use it. What other possibilities are there? Here's the list so far: Games tic-tac-toe Connect 4 Chess Go Visual recognition Character recognition (typefaces, letters, numbers, etc) Facial recognition Audio recognition Language detection Male vs female Word recognition Language detection (natural, programming)

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  • How to convert the output of an artificial neural network into probabilities?

    - by Mathieu Pagé
    I've read about neural network a little while ago and I understand how an ANN (especially a multilayer perceptron that learns via backpropagation) can learn to classify an event as true or false. I think there are two ways : 1) You get one output neuron. It it's value is 0.5 the events is likely true, if it's value is <=0.5 the event is likely to be false. 2) You get two output neurons, if the value of the first is than the value of the second the event is likely true and vice versa. In these case, the ANN tells you if an event is likely true or likely false. It does not tell how likely it is. Is there a way to convert this value to some odds or to directly get odds out of the ANN. I'd like to get an output like "The event has a 84% probability to be true"

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  • Artificial Intelligence - What to put in, or leave out, and what can be inferred?

    - by D Scott
    I was having a discussion with a coworker (while we were programming) about AI. We were talking about emotions/feelings and if you should choose to leave any out. I asked him, "Would you leave out racism or hate?" and if you did leave those out, what, if any, other emotions might lead to the AI learning the left out emotions or feelings. Should you PROGRAM in measures to stop the AI from learning those feelings? If you teach Love, does it need to know hurt? Or would it learn hurt? If it then knew Hurt would it connect it with Dislike, Hurt and Dislike could that then lead to some other non-programmed emotion? Such as hate? All while tele-commuting from home.

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  • How will technological singularity affect programmers?

    - by Amir Rezaei
    I'm one of the believers that think that we will hit the technological singularity sooner or later. Then the question is if any profession will be unaffected by changes that will come. In the end it will be we programmers that will implement the first self-aware AI. How will technological singularity affect us programmer? What is your professional opinion regarding technological singularity? EDIT: By self-aware I refer to an entity that questions and seek answers, able to analyze and solve problem. Artificial neural network is branch in mathematics/statistics with many widely used algorithms. The algorithms are applied where recognition of data is needed. For example hidden Markov model is used for voice recognition. Another well-known area is business intelligence and data mining. Today algorithms are self-learning. That is a bit of AI what many never think of. Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make. Link to Ref.

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  • Microeconomical simulation: coordination/planning between self-interested trading agents

    - by Milton Manfried
    In a typical perfect-information strategy game like Chess, an agent can calculate its best move by searching the state tree for the best possible move, while assuming that the opponent will also make the best possible move (i.e. Mini-max). I would like to use this approach in a "game" modeling economic activity, where the possible "moves" would be to buy or sell for a given price, and the goal, rather than a specific class of states (e.g. Checkmate), would be to maximize some function F of the agent's state (e.g. F(money, widget) = 10*money + widget). How to handle buy/sell actions that require coordination between both parties, at the very least agreement upon a price? The cheap way out would be to set the price beforehand, maybe based upon the current supply -- but the idea of this simulation is to examine how prices emerge when freely determined by "perfectly rational" agents. A great example of what I do not want is the trading algorithm in SugarScape -- paraphrasing from Growing Artificial Societies p101-102: when a pair of agents interact to trade, they each compute their internal valuations of the goods, then a bargaining process is conducted and a price is agreed to. If this price makes both agents better off, they complete the transaction The protocol itself is beautiful, but what it cannot capture (as far as I can tell) is the ability for an agent to pay more than it might otherwise for a good, because it knows that it can sell it for even more at a later date -- what appears to be called "strategic thinking" in this pape at Google Books Multi-Agent-Based Simulation III: 4th International Workshop, MABS 2003... to get realistic behavior like that, it seems one would either (1) have to build an outrageously-complex internal valuation system which could at best only cover situations that were planned for at compile-time, or otherwise (2) have some mechanism to search the state tree... which would require some way of planning future trades. Note: The chess analogy only works as far as the state-space search goes; the simulation isn't intended to be "zero sum", so a literal mini-max search wouldn't be appropriate -- and ideally, it should work with more than two agents.

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  • Java - Using Linear Coordinates to Check Against AI [closed]

    - by Oliver Jones
    I'm working on some artificial intelligence, and I want my AI not to run into given coordinates as these are references of a wall/boundary. To begin with, every time my AI hits a wall, it makes a reference to that position (x,y). When it hits the same wall three times, it uses linear check points to 'imagine' there is a wall going through these coordinates. I want to now prevent my AI from going into that wall again. To detect if my coordinates make a straight line, i use: private boolean collinear(double x1, double y1, double x2, double y2, double x3, double y3) { return (y1 - y2) * (x1 - x3) == (y1 - y3) * (x1 - x2); } This returns true is the given points are linear to one another. So my problems are: How do I determine whether my robot is approaching the wall from its current trajectory? Instead of Java 'imagining' theres a line from 1, to 3. But to 'imagine' a line all the way through these linear coordinantes, until infinity (or close). I have a feeling this is going to require some confusing trigonometry? (REPOST: http://stackoverflow.com/questions/13542592/java-using-linear-coordinates-to-check-against-ai)

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  • Artificial neural network

    - by naveena
    hai this is naveena My guide given a simple example to solve in artificial neural network and PSO If any body help then i m very happy the example is `A B C a1 b1 c1 a2 b2 c2 how i have to solve manually i cannot understand plz any help me and send a mail to this id plz [email protected]

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  • how to write an artificial request.

    - by Bunny Rabbit
    how can i construct a artificial request to login to twitter or any site for that matter that accpets post forms. what i've been trying is to extract the headers and post request parameters from the origional request(directed at the action atribute of the form) and copy it to the outgoing url object that i am making.but it just won't work. And i am aware of the apis and i don't wanna use them i am trying this to write a web proxy site.

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  • Is it possible to predict future using machine learning and/or AI?

    - by Shekhar
    Recently I have started reading about machine learning. From 3000 feet view, machine learning seems really great thing but as if now I have found that machine learning is limited to only 3 types of algorithms namely classification, clustering and recommendations. I would like to know if my assumption about types of machine learning algorithms is correct or not and What is the extreme thing which we can do using machine learning and/or AI? Is it possible to predict future (same way we predict weather) using AI and/or machine learning?

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  • what languages are used in AI research today?

    - by aaa
    hi. I am currently dabbling in expert systems, emacs lisp, and reading up about artificial intelligence. Traditionally, artificial intelligence is associated with LISP and expert systems with CLIPS. However, I have noticed in computational sciences how much Python is being used. What about the area of artificial intelligence and machine learning? is it still been dominated by LISP? how much is python being used in AI? are any of the newer functional languages, clojure for example, being used in research? in the area of expert systems, which shells are most used/popular today? are there any interesting developments language wise which you know of? Thanks a lot

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  • Identifying languages used by particular industries

    - by user66146
    I am new to programming and I don't know the differences between the major languages. I desperately want to get into the gaming industry because I have so many stories I want to tell and so many experiences I want to create. I currently do 3D modeling/animation, so any similarities would be helpful. What steps should I take to investigate an industry (gaming) and the companies within that industry? How do I identify what programming languages they use, so I can study them?

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  • Which web algorithms book to get ?

    - by fjxx
    I am currently undecided between which of the following web algorithms book to buy: 1) Algorithms of the Intelligent web by Marmanis 2) Collective Intelligence by Alag Both feature code in Java; Marmanis' book delves deeper into the core algorithms while Alag's book discusses more APIs including WEKA. I have already read Programming Collective Intelligence by Segaran and enjoyed it. Any comments on these books or any other recommendations are welcome.

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  • Watson Ties Against Human Jeopardy Opponents

    - by ETC
    In January we showed you a video of Waton in a practice round against Jeopardy champions Ken Jennings and Brad Rutter. Last night they squared off in a real round of Jeopardy with Watson in a tie with Rutter. Watson held his own against the two champions leveraging the 90 IBM Power 750 servers, 2,880 processors, and the 16TB of memory driving him to his full advantage. It was impressive to watch the round unfold and to see where Watson shined and where he faltered. Check out the video below to footage of Watson in training and then in action on Jeopardy. Pay special attention to the things that trip him up. Watson answers cut and dry questions with absolute lighting speed but stumbles when it comes to nuances in language–like finis vs. terminus in the train question that Jennings answered correctly. Watch Part 2 of the video above here. Latest Features How-To Geek ETC Internet Explorer 9 RC Now Available: Here’s the Most Interesting New Stuff Here’s a Super Simple Trick to Defeating Fake Anti-Virus Malware How to Change the Default Application for Android Tasks Stop Believing TV’s Lies: The Real Truth About "Enhancing" Images The How-To Geek Valentine’s Day Gift Guide Inspire Geek Love with These Hilarious Geek Valentines MyPaint is an Open-Source Graphics App for Digital Painters Can the Birds and Pigs Really Be Friends in the End? [Angry Birds Video] Add the 2D Version of the New Unity Interface to Ubuntu 10.10 and 11.04 MightyMintyBoost Is a 3-in-1 Gadget Charger Watson Ties Against Human Jeopardy Opponents Peaceful Tropical Cavern Wallpaper

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  • How to create a Semantic Network like wordnet based on Wikipedia?

    - by Forbidden Overseer
    I am an undergraduate student and I have to create a Semantic Network based on Wikipedia. This Semantic Network would be similar to Wordnet(except for it is based on Wikipedia and is concerned with "streams of text/topics" rather than simple words etc.) and I am thinking of using the Wikipedia XML dumps for the purpose. I guess I need to learn parsing an XML and "some other things" related to NLP and probably Machine Learning, but I am no way sure about anything involved herein after the XML parsing. Is the starting step: XML dump parsing into text a good idea/step? Any alternatives? What would be the steps involved after parsing XML into text to create a functional Semantic Network? What are the things/concepts I should learn in order to do them? I am not directly asking for book recommendations, but if you have read a book/article that teaches any thing related/helpful, please mention them. This may include a refernce to already existing implementations regarding the subject. Please correct me if I was wrong somewhere. Thanks!

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  • Some Insight on the Field of Knowledge Representations and Reasoning

    - by picmate
    I started following an MS in computer sciences after about two years of work for a software company. I worked primarily in data warehousing and business intelligence related software development during my previous occupation. There is a high chance for me to select a research in knowledge representations, ontologies and reasoning, as there are no other research available in any other interesting fields, such as pattern recognition and navigation. I developed an interest towards knowledge representation with what I learnt from the courses I am taking currently. But I do not have a deep understanding of it in terms of which areas such a field would have an impact in a real life scenario, and how it will help me when I am hunting for a job in the near future. Some thought about this would be greatly appreciated.

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  • 8-Puzzle Solution executes infinitely [migrated]

    - by Ashwin
    I am looking for a solution to 8-puzzle problem using the A* Algorithm. I found this project on the internet. Please see the files - proj1 and EightPuzzle. The proj1 contains the entry point for the program(the main() function) and EightPuzzle describes a particular state of the puzzle. Each state is an object of the 8-puzzle. I feel that there is nothing wrong in the logic. But it loops forever for these two inputs that I have tried : {8,2,7,5,1,6,3,0,4} and {3,1,6,8,4,5,7,2,0}. Both of them are valid input states. What is wrong with the code? Note For better viewing copy the code in a Notepad++ or some other text editor(which has the capability to recognize java source file) because there are lot of comments in the code. Since A* requires a heuristic, they have provided the option of using manhattan distance and a heuristic that calculates the number of misplaced tiles. And to ensure that the best heuristic is executed first, they have implemented a PriorityQueue. The compareTo() function is implemented in the EightPuzzle class. The input to the program can be changed by changing the value of p1d in the main() function of proj1 class. The reason I am telling that there exists solution for the two my above inputs is because the applet here solves them. Please ensure that you select 8-puzzle from teh options in the applet. EDITI gave this input {0,5,7,6,8,1,2,4,3}. It took about 10 seconds and gave a result with 26 moves. But the applet gave a result with 24 moves in 0.0001 seconds with A*. For quick reference I have pasted the the two classes without the comments : EightPuzzle import java.util.*; public class EightPuzzle implements Comparable <Object> { int[] puzzle = new int[9]; int h_n= 0; int hueristic_type = 0; int g_n = 0; int f_n = 0; EightPuzzle parent = null; public EightPuzzle(int[] p, int h_type, int cost) { this.puzzle = p; this.hueristic_type = h_type; this.h_n = (h_type == 1) ? h1(p) : h2(p); this.g_n = cost; this.f_n = h_n + g_n; } public int getF_n() { return f_n; } public void setParent(EightPuzzle input) { this.parent = input; } public EightPuzzle getParent() { return this.parent; } public int inversions() { /* * Definition: For any other configuration besides the goal, * whenever a tile with a greater number on it precedes a * tile with a smaller number, the two tiles are said to be inverted */ int inversion = 0; for(int i = 0; i < this.puzzle.length; i++ ) { for(int j = 0; j < i; j++) { if(this.puzzle[i] != 0 && this.puzzle[j] != 0) { if(this.puzzle[i] < this.puzzle[j]) inversion++; } } } return inversion; } public int h1(int[] list) // h1 = the number of misplaced tiles { int gn = 0; for(int i = 0; i < list.length; i++) { if(list[i] != i && list[i] != 0) gn++; } return gn; } public LinkedList<EightPuzzle> getChildren() { LinkedList<EightPuzzle> children = new LinkedList<EightPuzzle>(); int loc = 0; int temparray[] = new int[this.puzzle.length]; EightPuzzle rightP, upP, downP, leftP; while(this.puzzle[loc] != 0) { loc++; } if(loc % 3 == 0){ temparray = this.puzzle.clone(); temparray[loc] = temparray[loc + 1]; temparray[loc + 1] = 0; rightP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); rightP.setParent(this); children.add(rightP); }else if(loc % 3 == 1){ //add one child swaps with right temparray = this.puzzle.clone(); temparray[loc] = temparray[loc + 1]; temparray[loc + 1] = 0; rightP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); rightP.setParent(this); children.add(rightP); //add one child swaps with left temparray = this.puzzle.clone(); temparray[loc] = temparray[loc - 1]; temparray[loc - 1] = 0; leftP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); leftP.setParent(this); children.add(leftP); }else if(loc % 3 == 2){ // add one child swaps with left temparray = this.puzzle.clone(); temparray[loc] = temparray[loc - 1]; temparray[loc - 1] = 0; leftP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); leftP.setParent(this); children.add(leftP); } if(loc / 3 == 0){ //add one child swaps with lower temparray = this.puzzle.clone(); temparray[loc] = temparray[loc + 3]; temparray[loc + 3] = 0; downP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); downP.setParent(this); children.add(downP); }else if(loc / 3 == 1 ){ //add one child, swap with upper temparray = this.puzzle.clone(); temparray[loc] = temparray[loc - 3]; temparray[loc - 3] = 0; upP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); upP.setParent(this); children.add(upP); //add one child, swap with lower temparray = this.puzzle.clone(); temparray[loc] = temparray[loc + 3]; temparray[loc + 3] = 0; downP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); downP.setParent(this); children.add(downP); }else if (loc / 3 == 2 ){ //add one child, swap with upper temparray = this.puzzle.clone(); temparray[loc] = temparray[loc - 3]; temparray[loc - 3] = 0; upP = new EightPuzzle(temparray, this.hueristic_type, this.g_n + 1); upP.setParent(this); children.add(upP); } return children; } public int h2(int[] list) // h2 = the sum of the distances of the tiles from their goal positions // for each item find its goal position // calculate how many positions it needs to move to get into that position { int gn = 0; int row = 0; int col = 0; for(int i = 0; i < list.length; i++) { if(list[i] != 0) { row = list[i] / 3; col = list[i] % 3; row = Math.abs(row - (i / 3)); col = Math.abs(col - (i % 3)); gn += row; gn += col; } } return gn; } public String toString() { String x = ""; for(int i = 0; i < this.puzzle.length; i++){ x += puzzle[i] + " "; if((i + 1) % 3 == 0) x += "\n"; } return x; } public int compareTo(Object input) { if (this.f_n < ((EightPuzzle) input).getF_n()) return -1; else if (this.f_n > ((EightPuzzle) input).getF_n()) return 1; return 0; } public boolean equals(EightPuzzle test){ if(this.f_n != test.getF_n()) return false; for(int i = 0 ; i < this.puzzle.length; i++) { if(this.puzzle[i] != test.puzzle[i]) return false; } return true; } public boolean mapEquals(EightPuzzle test){ for(int i = 0 ; i < this.puzzle.length; i++) { if(this.puzzle[i] != test.puzzle[i]) return false; } return true; } } proj1 import java.util.*; public class proj1 { /** * @param args */ public static void main(String[] args) { int[] p1d = {1, 4, 2, 3, 0, 5, 6, 7, 8}; int hueristic = 2; EightPuzzle start = new EightPuzzle(p1d, hueristic, 0); int[] win = { 0, 1, 2, 3, 4, 5, 6, 7, 8}; EightPuzzle goal = new EightPuzzle(win, hueristic, 0); astar(start, goal); } public static void astar(EightPuzzle start, EightPuzzle goal) { if(start.inversions() % 2 == 1) { System.out.println("Unsolvable"); return; } // function A*(start,goal) // closedset := the empty set // The set of nodes already evaluated. LinkedList<EightPuzzle> closedset = new LinkedList<EightPuzzle>(); // openset := set containing the initial node // The set of tentative nodes to be evaluated. priority queue PriorityQueue<EightPuzzle> openset = new PriorityQueue<EightPuzzle>(); openset.add(start); while(openset.size() > 0){ // x := the node in openset having the lowest f_score[] value EightPuzzle x = openset.peek(); // if x = goal if(x.mapEquals(goal)) { // return reconstruct_path(came_from, came_from[goal]) Stack<EightPuzzle> toDisplay = reconstruct(x); System.out.println("Printing solution... "); System.out.println(start.toString()); print(toDisplay); return; } // remove x from openset // add x to closedset closedset.add(openset.poll()); LinkedList <EightPuzzle> neighbor = x.getChildren(); // foreach y in neighbor_nodes(x) while(neighbor.size() > 0) { EightPuzzle y = neighbor.removeFirst(); // if y in closedset if(closedset.contains(y)){ // continue continue; } // tentative_g_score := g_score[x] + dist_between(x,y) // // if y not in openset if(!closedset.contains(y)){ // add y to openset openset.add(y); // } // } // } } public static void print(Stack<EightPuzzle> x) { while(!x.isEmpty()) { EightPuzzle temp = x.pop(); System.out.println(temp.toString()); } } public static Stack<EightPuzzle> reconstruct(EightPuzzle winner) { Stack<EightPuzzle> correctOutput = new Stack<EightPuzzle>(); while(winner.getParent() != null) { correctOutput.add(winner); winner = winner.getParent(); } return correctOutput; } }

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  • So are we ever getting the technological singularity

    - by jsoldi
    I´m still waiting for an AI robot that will pass the Turing test. I keep going back to http://www.a-i.com/ and nothing. I don´t know much about AI but, did anyone ever tried to make a genetic algorithm whose evolution algorithm itself evolves? Or how about one whose algorithm that makes the genetic algorithm evolve, evolves? Or one whose genetic algorithm that makes the genetic algorithm that makes the genetic algorithm evolve, evolves? Or how about an algorithm that abstracts all this into a potentially infinitely deep tree of genetic evolution algorithms? Aren´t we just failing as programmers? And I don´t think we can blame the processors speed. If you make and application that simulates consciousness you will get a Nobel prize no matter how many hours it takes to respond to your questions. But nobody did it. It almost reminds me to Randi´s $1000000 paranormal challenge. As I keep going back to AI chat bots, they keep getting better at changing the subject on a way that seems natural. But if I tell them something like "if 'x' is 2 then whats two times 'x'?" then they don't have a clue what I'm talking about. And I don't think they need a whole human brain simulation to be able to answer to something like that. They don't need feelings or perception. This is just language and logics. I don't think my perception of the color red gives me the ability to understand that if 'x' is 2 then two times 'x' is 4. I'm sure we are just missing some elemental principle we cannot grasp because it's probably stuck behind our eyes. What do you think?

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  • Creating New Scripts Dynamically in Lua

    - by bazola
    Right now this is just a crazy idea that I had, but I was able to implement the code and get it working properly. I am not entirely sure of what the use cases would be just yet. What this code does is create a new Lua script file in the project directory. The ScriptWriter takes as arguments the file name, a table containing any arguments that the script should take when created, and a table containing any instance variables to create by default. My plan is to extend this code to create new functions based on inputs sent in during its creation as well. What makes this cool is that the new file is both generated and loaded dynamically on the fly. Theoretically you could get this code to generate and load any script imaginable. One use case I can think of is an AI that creates scripts to map out it's functions, and creates new scripts for new situations or environments. At this point, this is all theoretical, though. Here is the test code that is creating the new script and then immediately loading it and calling functions from it: function Card:doScriptWriterThing() local scriptName = "ScriptIAmMaking" local scripter = scriptWriter:new(scriptName, {"argumentName"}, {name = "'test'", one = 1}) scripter:makeFileForLoadedSettings() local loadedScript = require (scriptName) local scriptInstance = loadedScript:new("sayThis") print(scriptInstance:get_name()) --will print test print(scriptInstance:get_one()) -- will print 1 scriptInstance:set_one(10000) print(scriptInstance:get_one()) -- will print 10000 print(scriptInstance:get_argumentName()) -- will print sayThis scriptInstance:set_argumentName("saySomethingElse") print(scriptInstance:get_argumentName()) --will print saySomethingElse end Here is ScriptWriter.lua local ScriptWriter = {} local twoSpaceIndent = " " local equalsWithSpaces = " = " local newLine = "\n" --scriptNameToCreate must be a string --argumentsForNew and instanceVariablesToCreate must be tables and not nil function ScriptWriter:new(scriptNameToCreate, argumentsForNew, instanceVariablesToCreate) local instance = setmetatable({}, { __index = self }) instance.name = scriptNameToCreate instance.newArguments = argumentsForNew instance.instanceVariables = instanceVariablesToCreate instance.stringList = {} return instance end function ScriptWriter:makeFileForLoadedSettings() self:buildInstanceMetatable() self:buildInstanceCreationMethod() self:buildSettersAndGetters() self:buildReturn() self:writeStringsToFile() end --very first line of any script that will have instances function ScriptWriter:buildInstanceMetatable() table.insert(self.stringList, "local " .. self.name .. " = {}" .. newLine) table.insert(self.stringList, newLine) end --every script made this way needs a new method to create its instances function ScriptWriter:buildInstanceCreationMethod() --new() function declaration table.insert(self.stringList, ("function " .. self.name .. ":new(")) self:buildNewArguments() table.insert(self.stringList, ")" .. newLine) --first line inside :new() function table.insert(self.stringList, twoSpaceIndent .. "local instance = setmetatable({}, { __index = self })" .. newLine) --add designated arguments inside :new() self:buildNewArgumentVariables() --create the instance variables with the loaded values for key,value in pairs(self.instanceVariables) do table.insert(self.stringList, twoSpaceIndent .. "instance." .. key .. equalsWithSpaces .. value .. newLine) end --close the :new() function table.insert(self.stringList, twoSpaceIndent .. "return instance" .. newLine) table.insert(self.stringList, "end" .. newLine) table.insert(self.stringList, newLine) end function ScriptWriter:buildNewArguments() --if there are arguments for :new(), add them for key,value in ipairs(self.newArguments) do table.insert(self.stringList, value) table.insert(self.stringList, ", ") end if next(self.newArguments) ~= nil then --makes sure the table is not empty first table.remove(self.stringList) --remove the very last element, which will be the extra ", " end end function ScriptWriter:buildNewArgumentVariables() --add the designated arguments to :new() for key, value in ipairs(self.newArguments) do table.insert(self.stringList, twoSpaceIndent .. "instance." .. value .. equalsWithSpaces .. value .. newLine) end end --the instance variables need separate code because their names have to be the key and not the argument name function ScriptWriter:buildSettersAndGetters() for key,value in ipairs(self.newArguments) do self:buildArgumentSetter(value) self:buildArgumentGetter(value) table.insert(self.stringList, newLine) end for key,value in pairs(self.instanceVariables) do self:buildInstanceVariableSetter(key, value) self:buildInstanceVariableGetter(key, value) table.insert(self.stringList, newLine) end end --code for arguments passed in function ScriptWriter:buildArgumentSetter(variable) table.insert(self.stringList, "function " .. self.name .. ":set_" .. variable .. "(newValue)" .. newLine) table.insert(self.stringList, twoSpaceIndent .. "self." .. variable .. equalsWithSpaces .. "newValue" .. newLine) table.insert(self.stringList, "end" .. newLine) end function ScriptWriter:buildArgumentGetter(variable) table.insert(self.stringList, "function " .. self.name .. ":get_" .. variable .. "()" .. newLine) table.insert(self.stringList, twoSpaceIndent .. "return " .. "self." .. variable .. newLine) table.insert(self.stringList, "end" .. newLine) end --code for instance variable values passed in function ScriptWriter:buildInstanceVariableSetter(key, variable) table.insert(self.stringList, "function " .. self.name .. ":set_" .. key .. "(newValue)" .. newLine) table.insert(self.stringList, twoSpaceIndent .. "self." .. key .. equalsWithSpaces .. "newValue" .. newLine) table.insert(self.stringList, "end" .. newLine) end function ScriptWriter:buildInstanceVariableGetter(key, variable) table.insert(self.stringList, "function " .. self.name .. ":get_" .. key .. "()" .. newLine) table.insert(self.stringList, twoSpaceIndent .. "return " .. "self." .. key .. newLine) table.insert(self.stringList, "end" .. newLine) end --last line of any script that will have instances function ScriptWriter:buildReturn() table.insert(self.stringList, "return " .. self.name) end function ScriptWriter:writeStringsToFile() local fileName = (self.name .. ".lua") file = io.open(fileName, 'w') for key,value in ipairs(self.stringList) do file:write(value) end file:close() end return ScriptWriter And here is what the code provided will generate: local ScriptIAmMaking = {} function ScriptIAmMaking:new(argumentName) local instance = setmetatable({}, { __index = self }) instance.argumentName = argumentName instance.name = 'test' instance.one = 1 return instance end function ScriptIAmMaking:set_argumentName(newValue) self.argumentName = newValue end function ScriptIAmMaking:get_argumentName() return self.argumentName end function ScriptIAmMaking:set_name(newValue) self.name = newValue end function ScriptIAmMaking:get_name() return self.name end function ScriptIAmMaking:set_one(newValue) self.one = newValue end function ScriptIAmMaking:get_one() return self.one end return ScriptIAmMaking All of this is generated with these calls: local scripter = scriptWriter:new(scriptName, {"argumentName"}, {name = "'test'", one = 1}) scripter:makeFileForLoadedSettings() I am not sure if I am correct that this could be useful in certain situations. What I am looking for is feedback on the readability of the code, and following Lua best practices. I would also love to hear whether this approach is a valid one, and whether the way that I have done things will be extensible.

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  • Machine Learning Web Jobs

    - by gprime
    I always see job positions for web companies for Machine Learning. For example facebook always has this type of job opening. Anyways, i was curious as to what exactly do web companies use machine learning for. Is it for giving people ads based on their site surfing history or something like that. I want to know because i have some experience with machine learning and it sounds like a fun thing to work on as long as i can convince the business guys to go ahead with it.

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