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  • What forms of non-interactive RPG battle systems exist?

    - by Landstander
    I am interested in systems that allow players to develop a battle plan or setup strategy for the party or characters prior to entering battle. During the battle the player either cannot input commands or can choose not to. Rule Based In this system the player can setup a list of rules in the form of [Condition - Action] that are then ordered by priority. Gambits in Final Fantasy XII Tactics in Dragon Age Origin & II

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  • How can I efficiently update only the entities that matter in a given frame?

    - by lezebulon
    I'm making a RTS, which can potentially have lots of units in one map (think Age of Empires). I'm looking for a way to update my units. I want to avoid calling a virtual Update() method every frame on every entity. On the other hand, units that are not in view should still be updated and behave "normally." I'm assuming this is a fairly standard question; what would be a way to handle this situation?

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  • 3D RTS pathfinding

    - by xcrypt
    I understand the A* algorithm, but I have some trouble doing it in 3D to suit the needs of my RTS Basically, in the game I'm making, there will be agents with different sizes of OBB collision boxes. I can use steering behaviours for avoiding other agents, so I don't need complete dynamic pathfinding. However, there is a problem because different agents have different collision geometry, and structures can be placed in almost any place. This means that there might be a gap between two structures where some agents can go through and some can't. A solution I have found to this problem is to do a sweep of the collision geometry of the agent from start node of the edge the pf algorithm is currently testing, to the end node of that edge. But this is probably a bit overkill since every edge the algorithm tests would also have to create and test with a collision geometry sweep. What are some reasonable approaches to this problem? I should mention that I'd prefer not to use navmeshes, I prefer waypoints because my entire system is based on it atm.

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  • Space Invaders-type game: Keeping the enemies aligned with each other as they turn around?

    - by CorundumGames
    OK, so here's the lowdown of the problem I'm trying to solve. I'm developing a game in PyGame that's a cross between Space Invaders and Columns. I'm trying to make the motion of the enemies similar to that of the aliens in Space Invaders; that is, they're all clustered in a grid, and if even one hits the side of the screen, the entire formation moves down and turns around. However, the motion of these aliens is continuous (as continuous as a monitor can be, anyway), not on a discrete grid like in the original. The enemies are instances of an Enemy class, and in turn they're held by a 2D array in a enemysquadron module (which, if you don't use Python, is in this case essentially a singleton due to the way Python modules work). Inside the Enemy class I have a class-scope velocity vector that is reversed every time an Enemy object touches the edge of the screen. This won't do, though, because as time goes on the enemies just become disorganized and jumbled (i.e. not in a grid as planned). I haven't implemented the Enemies going downward yet, so let's not worry about that right now. Any tips?

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  • How to prioritize related game entity components?

    - by Paul Manta
    I want to make a game where you have to run over a bunch of zombies with your car. When moving around, the zombies have a few things to take into consideration: When there's no player around they might just roam about randomly. And even when some other component dictates a specific direction, they should wobble to the left and right randomly (like drunk people). This implies a small, random, deviation in their movement. They should avoid static obstacles. When they see they are headed towards a wall, they should reorient themselves. They should avoid the car. They should try to predict where the car will be based on its velocity and try to move out of the way. When they can, they should try to get near the player. All these types of decisions they have to do seem like they should be implemented in different components. But how should I manage them? How can I give different components different weights that reflect the importance of each decision (in a given situation)? I would need some other component that acts as a manager, but do you have any tips on how I should implement it? Or maybe there's a better solution?...

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  • Unit turning in navmesh-based pathfinding

    - by Haddayn
    I'm working on an RTS game, and I'm using navmeshes for unit pathfinding. I do know how to find a general path within a navmesh, but how do you determine if the unit have enough space to turn? I have units of different shapes (mostly rectangles with different dimensions), and with different turn radii. Additionally some of units can turn in place, and some can move in reverse. So, how to find a path which unit can follow, considering that it can not rotate easily?

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  • Estimating costs in a GOAP system

    - by fullwall
    I'm currently developing a GOAP system in Java. An explanation of GOAP can be found at http://web.media.mit.edu/~jorkin/goap.html. Essentially, it's using A* to plot between Actions that mutate the world state. To provide a fair chance for all Actions and Goals to execute, I'm using a heuristic function to estimate the cost of doing something. What is the best way to estimate this cost so that it is comparable to all the other costs? As an example, estimating the cost of running away from an enemy versus attacking it - how should the cost be calculated to be comparable?

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  • Determining the angle to fire a shot when target and shooter moves, and bullet moves with shooter velocity added in

    - by Azaral
    I saw this question: Predicting enemy position in order to have an object lead its target and followed the link in the answer to stack overflow. In the stack overflow page I used the 2nd answer, the one that is a large mathematical derivation. My situation is a little different though. My first question though is will the answer provided in the stack overflow page even work to begin with, assuming the original circumstances of moving target and stationary shooter. My situation is a little different than that situation. My target moves, the shooter moves, and the bullets from the shooter start off with the velocities in x and y added to the bullets' x and y velocities. If you are sliding to the right, the bullets will remain in front of you as you move so as long as your velocity remains constant. What I'm trying to do is to get the enemy to be able to determine where they need to shoot in order to hit the player. Unless the player and enemy is stationary, the velocity from the ship adding to the velocity of the bullets will cause a miss. I'd rather like to prevent that. I used the formula in the stack overflow answer and did what I thought were the appropriate adjustments. I've been banging at this for the last four hours and I just can't make it click. It is probably something really simple and boneheaded that I am missing (that seems to be a lot of my problems lately). Here is the solution presented from the stack overflow answer: It boils down to solving a quadratic equation of the form: a * sqr(x) + b * x + c == 0 Note that by sqr I mean square, as opposed to square root. Use the following values: a := sqr(target.velocityX) + sqr(target.velocityY) - sqr(projectile_speed) b := 2 * (target.velocityX * (target.startX - cannon.X) + target.velocityY * (target.startY - cannon.Y)) c := sqr(target.startX - cannon.X) + sqr(target.startY - cannon.Y) Now we can look at the discriminant to determine if we have a possible solution. disc := sqr(b) - 4 * a * c If the discriminant is less than 0, forget about hitting your target -- your projectile can never get there in time. Otherwise, look at two candidate solutions: t1 := (-b + sqrt(disc)) / (2 * a) t2 := (-b - sqrt(disc)) / (2 * a) Note that if disc == 0 then t1 and t2 are equal. If there are no other considerations such as intervening obstacles, simply choose the smaller positive value. (Negative t values would require firing backward in time to use!) Substitute the chosen t value back into the target's position equations to get the coordinates of the leading point you should be aiming at: aim.X := t * target.velocityX + target.startX aim.Y := t * target.velocityY + target.startY Here is my code, after being corrected by Sam Hocevar (thank you again for your help!). It still doesn't work. For some reason it never enters the section of code inside the if(disc = 0) (obviously because it is always less than zero but...). However, if I plug the numbers from my game log on the enemy and player positions and velocities it outputs a valid firing solution. I have looked at the code side by side a couple of times now and I can't find any differences. There has got to be something simple I'm missing here. If someone else could look at this code and determine what is going on here I'd appreciate it. I know it's not going through that section because if it were, shouldShoot would become true and the enemy would be blasting away at the player. This section calls the function in question, CalculateShootHeading() if(shouldMove) { UseEngines(); } x += xVelocity; y += yVelocity; CalculateShootHeading(); if(shouldShoot) { ShootWeapons(); } UpdateWeapons(); This is CalculateShootHeading(). This is inside the enemy class so x and y are the enemy's x and y and the same with velocity. One output from my game log gives Player X = 2108, Player Y = -180.956, Player X velocity = 10.9949, Player Y Velocity = -6.26017, Enemy X = 1988.31, Enemy Y = -339.051, Enemy X velocity = 1.81666, Enemy Y velocity = -9.67762, 0 enemy projectiles. The output from the console tester is Bullet position = 2210.49, -239.313 and Player Position = 2210.49, -239.313. This doesn't make any sense. The only thing that could be different is the code or the input into my function in the game and I've checked that and I don't think that it is wrong as it's updated before this and never changed. float const bulletSpeed = 30.f; float const dx = playerX - x; float const dy = playerY - y; float const vx = playerXVelocity - xVelocity; float const vy = playerYVelocity - yVelocity; float const a = vx * vx + vy * vy - bulletSpeed * bulletSpeed; float const b = 2.f * (vx * dx + vy * dy); float const c = dx * dx + dy * dy; float const disc = b * b - 4.f * a * c; shouldShoot = false; if (disc >= 0.f) { float t0 = (-b - std::sqrt(disc)) / (2.f * a); float t1 = (-b + std::sqrt(disc)) / (2.f * a); if (t0 < 0.f || (t1 < t0 && t1 >= 0.f)) { t0 = t1; } if (t0 >= 0.f) { float shootx = vx + dx / t0; float shooty = vy + dy / t0; heading = std::atan2(shooty, shootx) * RAD2DEGREE; } shouldShoot = true; }

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  • A* PathFinding Poor Performance

    - by RedShft
    After debugging for a few hours, the algorithm seems to be working. Right now to check if it works i'm checking the end node position to the currentNode position when the while loop quits. So far the values look correct. The problem is, the farther I get from the NPC, who is current stationary, the worse the performance gets. It gets to a point where the game is unplayable less than 10 fps. My current PathGraph is 2500 nodes, which I believe is pretty small, right? Any ideas on how to improve performance? struct Node { bool walkable; //Whether this node is blocked or open vect2 position; //The tile's position on the map in pixels int xIndex, yIndex; //The index values of the tile in the array Node*[4] connections; //An array of pointers to nodes this current node connects to Node* parent; int gScore; int hScore; int fScore; } class AStar { private: SList!Node openList; SList!Node closedList; //Node*[4] connections; //The connections of the current node; Node currentNode; //The current node being processed Node[] Path; //The path found; const int connectionCost = 10; Node start, end; ////////////////////////////////////////////////////////// void AddToList(ref SList!Node list, ref Node node ) { list.insert( node ); } void RemoveFrom(ref SList!Node list, ref Node node ) { foreach( elem; list ) { if( node.xIndex == elem.xIndex && node.yIndex == elem.yIndex ) { auto a = find( list[] , elem ); list.linearRemove( take(a, 1 ) ); } } } bool IsInList( SList!Node list, ref Node node ) { foreach( elem; list ) { if( node.xIndex == elem.xIndex && node.yIndex == elem.yIndex ) return true; } return false; } void ClearList( SList!Node list ) { list.clear; } void SetParentNode( ref Node parent, ref Node child ) { child.parent = &parent; } void SetStartAndEndNode( vect2 vStart, vect2 vEnd, Node[] PathGraph ) { int startXIndex, startYIndex; int endXIndex, endYIndex; startXIndex = cast(int)( vStart.x / 32 ); startYIndex = cast(int)( vStart.y / 32 ); endXIndex = cast(int)( vEnd.x / 32 ); endYIndex = cast(int)( vEnd.y / 32 ); foreach( node; PathGraph ) { if( node.xIndex == startXIndex && node.yIndex == startYIndex ) { start = node; } if( node.xIndex == endXIndex && node.yIndex == endYIndex ) { end = node; } } } void SetStartScores( ref Node start ) { start.gScore = 0; start.hScore = CalculateHScore( start, end ); start.fScore = CalculateFScore( start ); } Node GetLowestFScore() { Node lowest; lowest.fScore = 10000; foreach( elem; openList ) { if( elem.fScore < lowest.fScore ) lowest = elem; } return lowest; } //This function current sets the program into an infinite loop //I still need to debug to figure out why the parent nodes aren't correct void GeneratePath() { while( currentNode.position != start.position ) { Path ~= currentNode; currentNode = *currentNode.parent; } } void ReversePath() { Node[] temp; for(int i = Path.length - 1; i >= 0; i-- ) { temp ~= Path[i]; } Path = temp.dup; } public: //@FIXME It seems to find the path, but now performance is terrible void FindPath( vect2 vStart, vect2 vEnd, Node[] PathGraph ) { openList.clear; closedList.clear; SetStartAndEndNode( vStart, vEnd, PathGraph ); SetStartScores( start ); AddToList( openList, start ); while( currentNode.position != end.position ) { currentNode = GetLowestFScore(); if( currentNode.position == end.position ) break; else { RemoveFrom( openList, currentNode ); AddToList( closedList, currentNode ); for( int i = 0; i < currentNode.connections.length; i++ ) { if( currentNode.connections[i] is null ) continue; else { if( IsInList( closedList, *currentNode.connections[i] ) && currentNode.gScore < currentNode.connections[i].gScore ) { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; } else if( IsInList( openList, *currentNode.connections[i] ) && currentNode.gScore < currentNode.connections[i].gScore ) { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; } else { currentNode.connections[i].gScore = currentNode.gScore + connectionCost; currentNode.connections[i].hScore = abs( currentNode.connections[i].xIndex - end.xIndex ) + abs( currentNode.connections[i].yIndex - end.yIndex ); currentNode.connections[i].fScore = currentNode.connections[i].gScore + currentNode.connections[i].hScore; currentNode.connections[i].parent = &currentNode; AddToList( openList, *currentNode.connections[i] ); } } } } } writeln( "Current Node Position: ", currentNode.position ); writeln( "End Node Position: ", end.position ); if( currentNode.position == end.position ) { writeln( "Current Node Parent: ", currentNode.parent ); //GeneratePath(); //ReversePath(); } } Node[] GetPath() { return Path; } } This is my first attempt at A* so any help would be greatly appreciated.

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  • State machine interpreters

    - by saadtaame
    I wrote my own state machine tool in C and at this point I'm faced with two choices for specifying state machines. Crafting a little language and writing a interpreter. Writing a compiler for that language. I know the advantages/disadvantages of each. I'd like to know what choices game programmers have made for their games. If you've used a state machine in your game in any form, I'd be interested in knowing how you did it.

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  • Artificial Intelligence ... how to make an object roam freely/avoid other objects, and model consciousness? [on hold]

    - by help bonafide pigeons
    Say a simple free roam battle scene in which a player runs around freely and engages in battle with other enemies/objects, as shown below: The dragon/dinosaur (or whatever that thing I drew appears to be) will, by some measure, try and avoid attacks so it is modeled to appear to have a conscious desire to avoid pain. My question is ... since this is very complex, many possible strategies for solving this, algorithms, etc., what is the basic idea behind how this would be accomplished in any sort? Like, we can assume the enemy in the picture is not just going to aimlessly hop around and avoid, but freely be modeled to behave as if it were really exploring/fighting. For the best example I can give, witness the behavior of the enemies in Final Fantasy 12 in this video: http://www.youtube.com/watch?v=mO0TkmhiQ6w How do the pros, or how would anyone attempt solve/implement this? PS: I have tried several times to give an image the "illusion" that is has a conciousness, but aside from emulating a real animal's consciousness in complete, I fall short and get choppy moving images that follow predictable patterns, error-prone movements, and the worst imaginable scenario of a battle engagement.

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  • A* PathFinding Not Consistent

    - by RedShft
    I just started trying to implement a basic A* algorithm in my 2D tile based game. All of the nodes are tiles on the map, represented by a struct. I believe I understand A* on paper, as I've gone through some pseudo code, but I'm running into problems with the actual implementation. I've double and tripled checked my node graph, and it is correct, so I believe the issue to be with my algorithm. This issue is, that with the enemy still, and the player moving around, the path finding function will write "No Path" an astounding amount of times and only every so often write "Path Found". Which seems like its inconsistent. This is the node struct for reference: struct Node { bool walkable; //Whether this node is blocked or open vect2 position; //The tile's position on the map in pixels int xIndex, yIndex; //The index values of the tile in the array Node*[4] connections; //An array of pointers to nodes this current node connects to Node* parent; int gScore; int hScore; int fScore; } Here is the rest: http://pastebin.com/cCHfqKTY This is my first attempt at A* so any help would be greatly appreciated.

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  • How can I plot a radius of all reachable points with pathfinding for a Mob (XNA)?

    - by PugWrath
    I am designing a tactical turn based game. The maps are 2d, but do have varying level-layers and blocking objects/terrain. I'm looking for an algorithm for pathfinding which will allow me to show an opaque shape representing all of the possible max-distance pixels that a mob can move to, knowing the mob's max pixel distance. Any thoughts on this, or do I just need to write a good pathfinding algorithm and use it to find the cutoff points for any direction in which an obstacle exists?

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  • Showing range on hexagonal grid

    - by user23673
    Here is the situation. I have hexagonal board,and a unit on it,with speed or move value 4.Diffrent terrain has a diffrent cost.When i click on the unit,game should show me a move range. My solution was to check each hex in range of 4,with A* pathfinding,and if path cost was less than 4 then this hex was in range.Finally game nicely show me range of that unit. My question is: Is there other solution to search for range on hex grids or square grid,because even if i am really proud of what i did in my solution,i think,it is a little to exaggerated?:)) What make me ask this question?I noticed that when unit speed is 4 or 6 or even 8,time to computing range for my computer was really good,but when speed was 10 and more i noticed that i needed to wait few second to compute.Well in real games i rather dont see something like this and my A* pathfinding is rather well optimized,so im thinking that my solution is wrong. Thanks for any replies.

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  • Concept: Interpretive Spells [closed]

    - by Deathly
    The goal is to be able to create complex spells, that can manipulate the game's environment in non-preprogrammed ways, and to make the program understand spells. For example: $@ $=Big @=Fire You can probably understand what this one means. The player types, writes, or selects symbols. Of course, a spell can be only a few characters, or more sophisticated spells could potentially be hundreds or thousands of symbols long. How could something like this be accomplished?

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  • how to stop enemies from moving to one point when lots of them are chasing one object [duplicate]

    - by BBgun
    This question already has an answer here: Is there a simple way to stop enemies standing in the same spot? 8 answers i am making a top down game which lots of enemies are chasing one guy. then,enemies would move to one point without any collision,they just overlay each other. so ,is there any simple way to make them feel more real? make them not overlay with each other? ================================= i have tried the solution using boundbox to check collision, but i still very puzzled about what to do with the collision. i have a bad solution.it doesn't work well. my solution in simple: foreach(around_enemy_arr in other) { vector a = normalize(self.positionvector - other.positionvector); self.move_vector = self.move_vector + a; } this can work,but when plenty of enemies come very close to each other,they would shake. i am sooooo confused. please help.

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  • Artificial Neural Networks

    - by user1724140
    I have an Artificial Networks which needs to recognize 130 different types of moves encoded in terms of 1s and 0s. Therefore the number of outputs I used is 8 so that all my patterns could be distinguished. However, by using 8 outputs, the different types of patterns possible is 256, leaving me with 126 different types of patterns useless. Do these extra 126 different patterns ruin my ANN's ability? Is there a better way not to have these unused holes?

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  • chess AI for GAE

    - by Richard
    I am looking for a Chess AI that can be run on Google App Engine. Most chess AI's seem to be written in C and so can not be run on the GAE. It needs to be strong enough to beat a casual player, but efficient enough that it can calculate a move within a single request (less than 10 secs). Ideally it would be written in Python for easier integration with existing code. I came across a few promising projects but they don't look mature: http://code.google.com/p/chess-free http://mariobalibrera.com/mics/ai.html

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  • AI testing framework

    - by Jon
    I am looking at developing an AI player for a simple game I have created in C#. I will be creating a population of the bots and evolving them over generations. What I was wondering is there any frameworks out there that could be good for this sort of testing / development. Ideally I would like something that I could plug any / some type of games into and say, OK so have a population of X run it over Y generations and chart the results for me. I was having a think about how I would create something that would do this for me and allow me to reuse this later for different AI projects and all I could think of was to have some sort of core code and some interface contracts that the game and AI would use so that the server can script it. What are your thoughts, does anyone have any practical experience of this sort of thing?

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  • Writing an AI for a turn-based board game

    - by Cyril
    Hi, i'm currently programming a board game (8x8) in which I need to develop an AI. I have read a lot of articles about AI in board games, minmax with or without alphabeta pruning, but I don't really know how to implements this, I don't know where to start... About my game, this is a turn-based game, each player has pieces on the board, they have to pick one and choose in moving this piece (1 or 2 cells max) or clone the piece (1 cell max). At the moment, I have a really stupid AI which choose a random piece then choose a random move to play... Could you please give me some clues, on how to implement this functionality ? Best regards

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  • Snowden : «j'ai été entraîné comme un espion dans le sens traditionnel du terme», l'ancien contractuel de la NSA aurait travaillé comme agent infiltré

    Snowden : « J'ai été entraîné comme un espion dans le sens traditionnel du terme», l'ancien contractuel de la NSA affirme avoir travaillé comme agent infiltré Dans une interview accordée à NBC News, mardi, Edward Snowden est revenu sur son expérience au sein de la CIA et de la NSA. « J'ai été entraîné comme un espion dans le sens traditionnel du terme. J'ai vécu et travailler sous couverture à l'étranger, prétendant avoir un emploi que je n'avais pas et empruntant même un nom qui n'était pas le...

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  • What is a recent programming language of choice for the AI?

    - by Eduard Florinescu
    For a few decades the programming language of choice for AI was either Prolog or LISP, and a few more others that are not so well known. Most of them were designed before the 70's. Changes happens a lot on many other domains specific languages, but in the AI domain it hadn't surfaced so much as in the web specific languages or scripting etc. Are there recent programming languages that were intended to change the game in the AI and learn from the insufficiencies of former languages?

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  • How to delay my AI move

    - by Mythili
    I am doing a game like chess. As soon my player move is completed(if he starts move from one place to another), my AI move is started (before my player reaching his destination ). Sometimes i find difficult which AI coin is moved now. how to delay it.

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  • Why is Lisp used for AI?

    - by Cristián Romo
    I've been learning Lisp to expand my horizons because I have heard that it is used in AI programming. After doing some exploring, I have yet to find AI examples or anything in the language that would make it more inclined towards it. Was Lisp used in the past because it was available, or is there something that I'm just missing?

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  • ai: Determining what tests to run to get most useful data

    - by Sai Emrys
    This is for http://cssfingerprint.com I have a system (see about page on site for details) where: I need to output a ranked list, with confidences, of categories that match a particular feature vector the binary feature vectors are a list of site IDs & whether this session detected a hit feature vectors are, for a given categorization, somewhat noisy (sites will decay out of history, and people will visit sites they don't normally visit) categories are a large, non-closed set (user IDs) my total feature space is approximately 50 million items (URLs) for any given test, I can only query approx. 0.2% of that space I can only make the decision of what to query, based on results so far, ~10-30 times, and must do so in <~100ms (though I can take much longer to do post-processing, relevant aggregation, etc) getting the AI's probability ranking of categories based on results so far is mildly expensive; ideally the decision will depend mostly on a few cheap sql queries I have training data that can say authoritatively that any two feature vectors are the same category but not that they are different (people sometimes forget their codes and use new ones, thereby making a new user id) I need an algorithm to determine what features (sites) are most likely to have a high ROI to query (i.e. to better discriminate between plausible-so-far categories [users], and to increase certainty that it's any given one). This needs to take into balance exploitation (test based on prior test data) and exploration (test stuff that's not been tested enough to find out how it performs). There's another question that deals with a priori ranking; this one is specifically about a posteriori ranking based on results gathered so far. Right now, I have little enough data that I can just always test everything that anyone else has ever gotten a hit for, but eventually that won't be the case, at which point this problem will need to be solved. I imagine that this is a fairly standard problem in AI - having a cheap heuristic for what expensive queries to make - but it wasn't covered in my AI class, so I don't actually know whether there's a standard answer. So, relevant reading that's not too math-heavy would be helpful, as well as suggestions for particular algorithms. What's a good way to approach this problem?

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