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• AI control for a ship with physics model

  - by Petteri Hietavirta

  I am looking for ideas how to implement following in 2D space. Unfortunately I don't know much about AI/path finding/autonomous control yet. Let's say this ship can move freely but it has mass and momentum. Also, external forces might affect it (explosions etc). The player can set a target for the ship at any time and it should reach that spot and stop. Without physics this would be simple, just point to the direction and go. But how to deal with existing momentum and then stopping on the spot? I don't want to modify ship's placement directly. edit: Just to make clear, the physics related math of the ship itself is not the problem.

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• Android/Java AI agent framework/middleware

  - by corneliu

  I am looking for an AI agent framework to use as a starting point in an Android game I have to create for a university research project. It has been suggested to me to use JADE, but, as far as I can tell, it's not a suitable framework for games (at least for my game idea) because it runs in a split-execution mode, and it needs an always-active network connection to a main host. What I want is just a little something to give me a headstart. I am willing to adjust the game's features to the framework because it's more of a mockup game, and the purpose is to compare the performance of a couple of agents in the game world. The game will be very simplistic, with a minimal UI that displays various stats about the characters in the game (so no graphics, no pathfinding). Thank you.

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• tic tac toe game ai as3

  - by David Jones

  I'm looking into creating a simple tic tac toe/noughts and crosses game in actionscript3 and am trying to understand the ideas behind the ai used in a game like this. I've seen some simplistic examples online but from what I've read a game tree or something like minimax is the best way to go about this. Can anyone help explain or reference any good examples of this? I've seen that there is a library called as3ds - data structures for game developers which has a number of classes that might help tie this together? Any info/examples or help is much appreciated

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• Basic AI FSM - Handling state transition

  - by Galvanize

  I'm starting to study on how to implement game AI, and it seems to me that a very simple FSM for my Pong demo would be a nice way to start. My vision on implementing this would be to have a basic state interface and a class for each state, then the NPC would have an instance of the current state. The class should have an update method and directions on wich state to go next, depending on the event received. The question is: How do I handle this event? Should I have a regular addEventListener and a costum event system? Or should I check on update for the things that could change the current state? I'm feeling a bit lost, I feel I have a good grasp on the FSM concept but a good implementation seems tricky, thanks in advance.

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• Designing a simple snake A.I

  - by DillPixel

  I've looked at some stuff online regarding this specific topic, and a lot of the info that I read involved graphs and path finding. I really don't want to get involved in something too complex & out of my level, and also I don't need my snake to be that intelligent (it will be a large board with the snake not growing in size on every munch). How could you structure a simpler AI for the snake that gets the job done relatively well? I would be able to get the snake to move towards the food item correctly, but my issue is that I'm not sure how to deal with the snake colliding with itself. Say the snake has a look ahead, and it finds that its tail is in the way, it could change direction, but what happens next? Any ideas on how to tackle this? Should the snake build an instruction set from every square, or should it think on the go?

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• Tic-Tac-Toe game AI

  - by David Jones

  I'm looking into creating a simple tic tac toe/noughts and crosses game in Actionscript3 and am trying to understand the ideas behind the AI used in a game like this. I've seen some simplistic examples online but from what I've read a game tree or something like minimax is the best way to go about this. Can anyone help explain or reference any good examples of this? I've seen that there is a library called as3ds - data structures for game developers which has a number of classes that might help tie this together? Any info/examples or help is much appreciated.

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• Developing an AI opponent for Monopoly

  - by Bernhard Zürn

  i want to develop an AI opponent for the Board Game Monopoly. I want to implement the whole Game with Prolog (XPCE). The probability for a field on the Board being hit, can be computed with Markov Chains. I already know some "best practices" like "after 50% of the playing time it does not make sense to buy out of jail because in jail you get renting fees for your fields but you don't have to pay for other fields as long as you stay in prison". The interesting question always is: buy a streetfield ? buy houses / hotels ? how much ? so i think i would have to compute some kind of future liquidity .. does anyone know how to pack that into an algorithm or how to translate it to prolog ?

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• Free Models and Related Animations for AI project in Unity [on hold]

  - by zhed

  Does anybody know a good website where to find free models and animations for AI projects? I'm not talking about anything good looking, like stuff you would look for when building a proper game, but, for example, a bunch of male/female models that are able to walk around and that would substitute my ugly "capsules", just to give a better -yet, still rough - idea of what's going on in the scene. On the Unity Asset Store there are a bunch of nice male/female models, but i haven't found any free general-purpose(i.e. normal walking) animation attachable to them. Any tip would we appreciated, thanks :)

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• Checkers AI Algorithm

  - by John

  I am making an AI for my checkers game and I'm trying to make it as hard as possible. Here is the current criteria for a move on the hardest difficulty: 1: Look For A Block: This is when a piece is being threatened and another piece can be moved in behind it to protect it. Here is an example: Black Moves |W| |W| |W| |W| | | |W| |W| |W| |W| |W| | | |W| |W| | | | | |W| | | | | | | | | |B| | | | | |B| | | |B| |B| |B| |B| |B| |B| | | |B| |B| |B| |B| White Blocks |W| |W| |W| |W| | | |W| | | |W| |W| |W| |W| |W| |W| | | | | |W| | | | | | | | | |B| | | | | |B| | | |B| |B| |B| |B| |B| |B| | | |B| |B| |B| |B| 2: Move pieces out of danger: if any piece is being threatened, and a piece cannot block for that piece, then it will attempt to move out of the way. If the piece cannot move out of the way without still being in danger, the computer ignores the piece. 3: If the computer player owns any kings, it will attempt to 'hunt down' enemy pieces on the board, if no moves can be made that won't in danger the king or any other pieces, the computer ignores this rule. 4: Any piece that is owned by the computer that is in column 1 or 6 will attempt to go to a side. When a piece is in column 0 or 7, it is in a very strategic position because it cannot get captured while it is in either of these columns 5: It makes an educated random move, the move will not indanger the piece that is moving or any piece that is on the board. 6: If none of the above are possible it makes a random move. This question is not really specific to any language but if all examples could be in Java that would be great, considering this app is written in android. Does anyone see any room for improvement in this algorithm? Anything that would make it better at playing checkers?

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• How to build a "traffic AI"?

  - by Lunikon

  A project I am working on right now features a lot of "traffic" in the sense of cars moving along roads, aircraft moving aroun an apron etc. As of now the available paths are precalculated, so nodes are generated automatically for crossings which themselves are interconnected by edges. When a character/agent spawns into the world it starts at some node and finds a path to a target node by means of a simply A* algorithm. The agent follows the path and ultimately reaches its destination. No problem so far. Now I need to enable the agents to avoid collisions and to handle complex traffic situations. Since I'm new to the field of AI I looked up several papers/articles on steering behavior but found them to be too low-level. My problem consists less of the actual collision avoidance (which is rather simple in this case because the agents follow strictly defined paths) but of situations like one agent leaving a dead-end while another one wants to enter exactly the same one. Or two agents meeting at a bottleneck which only allows one agent to pass at a time but both need to pass it (according to the optimal route found before) and they need to find a way to let the other one pass first. So basically the main aspect of the problem would be predicting traffic movement to avoid dead-locks. Difficult to describe, but I guess you get what I mean. Do you have any recommendations for me on where to start looking? Any papers, sample projects or similar things that could get me started? I appreciate your help!

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• Must all AI states be able to react to any event?

  - by Prog

  FSMs implemented with the State design pattern are a common way to design AI agents. I am familiar with the State design pattern and know how to implement it. How is this used in games to design AI agents? Consider a simplified class Monster, representing an AI agent: class Monster { State state; // other fields omitted public void update(){ // called every game-loop cycle state.execute(this); } public void setState(State state){ this.state = state; } // irrelevant stuff omitted } There are several State subclasses implementing execute() differently. So far, classic State pattern. AI agents are subject to environmental effects and other objects communicating with them. For example, an AI agent might tell another AI agent to attack (i.e. agent.attack()). Or a fireball might tell an AI agent to fall down. This means that the agent must have methods such as attack() and fallDown(), or commonly some message receiving mechanism to understand such messages. With an FSM, the current State of the agent should be the one taking care of such method calls - i.e. the agent delegates to the current state upon every event. Is this correct? If correct, how is this done? Are all states obligated by their superclass to implement methods such as attack(), fallDown() etc., so the agent can always delegate to them on almost every event? Or is it done in some other way?

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• How to build a "traffic AI"?

  - by Lunikon

  A project I am working on right now features a lot of "traffic" in the sense of cars moving along roads, aircraft moving aroun an apron etc. As of now the available paths are precalculated, so nodes are generated automatically for crossings which themselves are interconnected by edges. When a character/agent spawns into the world it starts at some node and finds a path to a target node by means of a simply A* algorithm. The agent follows the path and ultimately reaches its destination. No problem so far. Now I need to enable the agents to avoid collisions and to handle complex traffic situations. Since I'm new to the field of AI I looked up several papers/articles on steering behavior but found them to be too low-level. My problem consists less of the actual collision avoidance (which is rather simple in this case because the agents follow strictly defined paths) but of situations like one agent leaving a dead-end while another one wants to enter exactly the same one. Or two agents meeting at a bottleneck which only allows one agent to pass at a time but both need to pass it (according to the optimal route found before) and they need to find a way to let the other one pass first. So basically the main aspect of the problem would be predicting traffic movement to avoid dead-locks. Difficult to describe, but I guess you get what I mean. Do you have any recommendations for me on where to start looking? Any papers, sample projects or similar things that could get me started? I appreciate your help!

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• Designing Snake AI

  - by Ronald

  I'm new to this gamedev stackechange but have used the math and cs sites before. So, I'm in a competition to create AI for a snake that will compete with 3 other snakes in 5 minute rounds where the rules are much like the traditional Nokia snake game except that there are 4 snakes, the board is 50x50 and there are a number of small obstacles on the field. Like the Nokia game, your snake grows when you get to the fruit and if you crash into yourself, another snake or the wall you die. The game runs with a 50ms delay between moves and the server sends the new game state every 50ms which the code must analyze and what not and output the next move. The winner is the snake who had the longest length at any point in the game. Tie breakers are decided by kills. So far what I have done is implemented an A* graph search from each snake to determine if my snake is the closest to the apple and if it is, it goes for the apple. Otherwise, I made a neat little algorithm to determine the emptiest area of the board, which my snake goes for, to anticipate the next apple. Other than this I have some small survivability checks to ensure my snake isn't walking into a trap that it can't get out and if it does get stuck, I have something to give it a better chance of getting out. ... Anyway, I've tested my snake on a test server and it does quite well. Generally, my strategy of only going for the apple when its a sure thing and finding space when its not makes it grow faster than any other snakes (some snakes do a similar thing but often just go to the middle or a corner) sometimes it wins these trial games but is more often than not beaten by the same snake who seems to have the edge on survivability(my snake grows quicker but then dies somehow and this other snake just plods slowly along and wins on consistency. So I was wondering about any ideas anyone has to try and improve my snake. Or maybe ideas at a new approach to take. My functions and classes are good so changes that might seem drastic shouldn't be too bad. I encourage all ideas. Any thoughts ??

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• How would you code an AI engine to allow communication in any programming language?

  - by Tokyo Dan

  I developed a two-player iPhone board game. Computer players (AI) can either be local (in the game code) or remote running on a server. In the 2nd case, both client and server code are coded in Lua. On the server the actual AI code is separate from the TCP socket code and coroutine code (which spawns a separate instance of AI for each connecting client). I want to be able to further isolate the AI code so that that part can be a module coded by anyone in their language of choice. How can I do this? What tecniques/technology would enable communication between the Lua TCP socket/coroutine code and the AI module?

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• Better way to do AI Behavior in AS3/Flixel

  - by joon

  I'm making a game in Flixel and I need to program an NPC. It's rapidly turning more complex than I expected. I was wondering if there are any best practices, tutorials or examples that you can refer me to, to see how this is done. I can probably hack it together, which is what I always do, but it would be nice if I can make it maintanable and can add stuff later on. Here's screenshot to give you an idea: The butler will be an NPC that will follow you, or guide you, and talk to you the whole time. EDIT: More specifically: What I have now is a long list of IF statements in the update loop of the butler (about 8 different cases), and all I have covered is his walking behavior. I want him to comment on things and sometimes switch his main behavior to be more aggresive or distant,... Is there any way to keep track of this, or is complex code with many many nested if statements the way to go?

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• Path tables or real time searching for AI?

  - by SirYakalot

  What is the more common practice in commercial games; path lookup tables or real time searches? I've read that in many games path lookup tables are pre-calculated and baked into each map, so to speak, then steering behaviour is used to handle dynamic obstacles. or is it better practice to use optimised hierarchical A* searches? I understand the pro's and cons of each, I'm just curious as to what is most often used in the industry.

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• Adaptive Characters: AI Solution Needs a Problem

  - by Roger F. Gay

  Have sophisticated adaptive programming, will travel - so to speak. I'm part of a group that developed sophisticated learning / adaptive software for robotics. The system "thinks" via its simulator, building and adapting code on its own; and then carries out the best solution. The software can also adapt to new situations, etc. http://mensnewsdaily.com/2007/05/16/robobusiness-robots-with-imagination/ It's easy to imagine using it with automated game characters that will adapt to the players moves and style - the easiest example would be fighting. The more the simulated fighter fights with the human player, the more it learns to counter that players fighting skills. But there should be more. Anyone have any ideas as to how adaptive characters might be interesting in games?

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• Disable #pragma message("")

  - by Balls-of-steel

  Hi, I needed to include in my project but there is a line, in glut.h which is #pragma message("Note: including lib: glut32.lib\n") It is really annoying and I want to get rid of it when compiling. I could just remove the line in my glut.h but I want my fix to be independent of the glut.h. I have tried setting #pragma warnings to show only critical info, and I have also tried #pragma message disable but nothing worked. Any help?

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• #pragma directive and its uses in c

  - by sandy101

  Hello , can anyone tell my what does the #pragma can do in the c language . what are its uses and why the above program is not giving the output 'inside v1'& 'inside v2' in the following program ... include void v1(); void v2(); pragma startup v1 pragma exit v2 int main() { printf("inside main\n"); return 0; } void v1() { printf("inside v1\n"); } void v2() { printf("inside v2\n"); } i also want to know what a are the uses of the #pragma directive .... plz help

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• What are some lesser known usages of #pragma?

  - by Xavier Ho

  I've never understood the need of #pragma once when #ifndef #define #endif always works. I've seen the usage of #pragma comment to link with other files , but setting up the compiler settings was easier with an IDE. What are some other usages of #pragma that is useful, but not widely known?

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• Collision Detection fails with AI cars

  - by amit.r007

  I am making a car parking game in flash and AS3 wherein I drive my car along with other AI traffic cars moving along a specified path using Guidelines. I am using CDK for collision detection. The collision detection works fine with few AI cars, but doesn't seems to be working as required for few AI cars. When an AI car is moving on a path in a straight line it works fine.... but when the AI Car turns at 90 degress..... my car goes into the AI car (Overlapping) and it hits at the center of that AI car and then collision is Detected.... ..... I made a New path and used a new Sprite for AI car... but still the problem pursues....

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• What are the possible options for AI path-finding etc when the world is "partitionned"?

  - by Sebastien Diot

  If you anticipate a large persistent game world, and you don't want to end up with some game server crashing due to overload, then you have to design from the ground up a game world that is partitioned in chunks. This is in particular true if you want to run your game servers in the cloud, where each individual VM is relatively week, and memory and CPU are at a premium. I think the biggest challenge here is that the player receives all the parts around the location of the avatar, but mobs/monsters are normally located in the server itself, and can only directly access the data about the part of the world that the server own. So how can we make the AI behave realistically in that context? It can send queries to the other servers that own the neighboring parts, but that sounds rather network intensive and latency prone. It would probably be more performant for each mob AI to be spread over the neighboring parts, and proactively send the relevant info to the part that contains the actual mob atm. That would also reduce the stress in a mob crossing a border between two parts, and therefore "switching server". Have you heard of any AI design that solves those issues? Some kind of distributed AI brain? Maybe some kind of "agent" community working together through message passing?

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• gcc memory alignment pragma

  - by aaa

  hello. Does gcc have memory alignment pragma, akin #pragma vector aligned in Intel compiler? I would like to tell compiler to optimize particular loop using aligned loads/store instructions. Thanks

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• C/C++ pragma in define macro

  - by aaa

  is there some way to embed pragma statement in macro with other statements? I am trying to achieve something like: #define DEFINE_DELETE_OBJECT(type) \ void delete_ ## type_(int handle); \ void delete_ ## type(int handle); \ #pragma weak delete_ ## type_ = delete_ ## type I am okay with boost solutions (save for wave) if one exists. thank you

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• Where can I train my game AI skills? (any upgoing competition?) [on hold]

  - by user1671710

  There are 2 main options - building AI plugin for existing game or entering to some competition. Do you have some concrete tips? Is there any competition which will be soon open? From my research, competitions: http://aichallenge.org (last 2011) http://www.battlecode.org (January 2014) http://webdocs.cs.ualberta.ca/~cdavid/starcraftaicomp/index.shtml (August 2014) http://aibirds.org (maybe summer 2014) http://www.marioai.org (last 2012) http://www.ice.ci.ritsumei.ac.jp/~ftgaic/index.htm (last 2013) http://www.pacman-vs-ghosts.net (last 2012) http://ai-contest2013.gameloft.com/index/contest (last 2013) http://www.botprize.org/ (last 2012) And maybe more. These are from quick research. Obviously there were many competitions this year but it is difficult to catch it. Main question is: Do you have any information of any currently running AI competition?

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