Search Results

Search found 1302 results on 53 pages for 'ai pragma'.

Page 3/53 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

• C# Pragma to suppress break on thrown error

  - by Courtney de Lautour

  First off I run my applications with exceptions thrown on any error (handled or not). Second I am using a TypeConverter to convert from a user input string to the actual object. Third TypeConverter offers no TryConvert method so I'm stuck using exceptions for validation, using this rather ugly bit of code here: try { this._newValue = null; #pragma Magic_SuppressBreakErrorThrown System.Exception this._newValue = this.Converter.ConvertFromString(this._textBox.Text); #pragma Magic_ResumeBreakErrorThrown System.Exception this.HideInvalidNotification(); } catch (Exception exception) { if (exception.InnerException is FormatException) { this.ShowInvalidNotification(this._textBox.Text); } else { throw; } } I'm finding it rather distracting to have VS break execution every-time I type the - of -1, or some other invalid character. I could use something similar to this but not all the types I'm converting to have a TryParse method either. I'm hoping there may be some way to disable breaking for the section of code within the try without changing my exception settings.

  Read the article

• Can anyone please tell me the use of pragma statements

  - by maddy

  Can anyone please tell me the use of pragma in C and ada, with some examples if possible.

  Read the article

• Best way to implement an AI for Dominion? [on hold]

  - by j will

  I'm creating a desktop client and server backend for the game, Dominion, by Donald X. Vaccarino. I've been reading up on AI techniques and algorithms and I just wanted to what is the best way to implement an AI for such a game? Would it better to look at neural networks, genetic algorithms, decision trees, fuzzy logic, or any other methodology? For those who do not know how Dominion works, check out this part of the wikipedia article: http://en.wikipedia.org/wiki/Dominion_(card_game)#Gameplay

  Read the article

• What are some ways of making manageable complex AI?

  - by Tetrad

  In the past I've used simple systems like finite state machines (FSMs) or hierarchical FSMs to control AI behavior. For any complex system, this pattern falls apart very quickly. I've heard about behavior trees and it seems like that's the next obvious step, but haven't seen a working implementation or really tried going down that route yet. Are there any other patterns to making manageable yet complex AI behaviors?

  Read the article

• Do I need path finding to make AI avoid obstacles?

  - by yannicuLar

  How do you know when a path-finding algorithm is really needed? There are contexts, where you just want to improve AI navigation to avoid an object, like a space -ship that won't crash on a planet or a car that already knows where to steer, but needs small corrections to avoid a road bump. As I've seen on similar posts, the obvious solution is to implement some path-finding algorithm, most likely like A*, and let your AI-controlled object to navigate through the path. Now, I have the necessary skills to implement a path-finding algorithm, and I'm not being lazy here, but I'm still a bit skeptical on if this is really needed. I have the impression that path-finding is appropriate to navigate through a maze, or picking a path when there are many alternatives. But in obstacle avoidance, when you do know the path, but need to make slight corrections, is path finding really necessary? Even when the obstacles are too sparse or small ? I mean, in real life, when you're driving and notice a bump on the road, you will just have to pick between steering a bit on the left (and have the bump on your right side) or the other way around. You will not consider stopping, or going backwards. A path finding would be appropriate when you need to pick a route through the city, right ? So, are there any other methods to help AI navigation, except path-finding? And if there are, how do you know when path-fining is the appropriate algorithm ? Thanks for any thoughts

  Read the article

• Discovering path through unknown territory

  - by TravisG

  Let's say all the AI knows about it's surroundings is a pixel-map that it has which clearly shows walkable terrain and obstacles. I want the AI to be able to traverse this terrain until it finds an exit point. There are some restrictions: There is always a way to the exit in the entire map that the AI walks around in, but there may be dead ends. The path to the exit is always pretty random, meaning that if you stand at crossroads, nothing indicates which direction would be the right one to go. It doesn't matter if the AI reaches a dead end, but it has to be able walk back out of it to a previously not inspected location and continue its search there. Initially, the AI starts out knowing only the starting area of the whole map. As it walks around, new points will be added to the pixel-map as the AI corresponding to the AIs range of sight (think of it like the AI is clearing the fog of war) The problem is in 2D space. All I have is the pixel map. There are no paths in the pixel map which are "too narrow". The AI fits through everything. It shouldn't be a brute force solution. E.g. it would be possible to simply find a path to each pixel in the pixel map that is yet undiscovered (with A*, for example), which will lead to the AI discovering new pixels. This could be repeated until the end is reached. The path doesn't have to be the shortest path (this is impossible without knowing the entire map beforehand), but when movements within the visible area are calculated, the shortest and from a human standpoint most logical path should be taken (e.g. if you can see a way out of your room into a hallway, you would obviously go there instead of exploring the corner of your current room). What kind of approaches to solve this problem are there?

  Read the article

• What's the proper way to calculate probability for a card game?

  - by Milan Babuškov

  I'm creating AI for a card game, and I run into problem calculating the probability of passing/failing the hand when AI needs to start the hand. Cards are A, K, Q, J, 10, 9, 8, 7 (with A being the strongest) and AI needs to play to not take the hand. Assuming there are 4 cards of the suit left in the game and one is in AI's hand, I need to calculate probability that one of the other players would take the hand. Here's an example: AI player has: J Other 2 players have: A, K, 7 If a single opponent has AK7 then AI would lose. However, if one of the players has A or K without 7, AI would survive. Now, looking at possible distribution, I have: P1 P2 AI --- --- --- AK7 loses AK 7 survives A7 K survives K7 A survives A 7K survives K 7A survives 7 KA survives AK7 loses Looking at this, it seems that there is 75% chance of survival. However, I skipped the permutations that mirror the ones from above. It should be the same, but somehow when I write them all down, it seems that chance is only 50%: P1 P2 AI --- --- --- AK7 loses A7K loses K7A loses KA7 loses 7AK loses 7KA loses AK 7 survives A7 K survives K7 A survives KA 7 survives 7A K survives 7K A survives A K7 survives A 7K survives K 7A survives K A7 survives 7 AK survives 7 KA survives AK7 loses A7K loses K7A loses KA7 loses 7AK loses 7KA loses 12 loses, 12 survivals = 50% chance. Obviously, it should be the same (shouldn't it?) and I'm missing something in one of the ways to calculate. Which one is correct?

  Read the article

• What data should be cached in a multiplayer server, relative to AI and players?

  - by DevilWithin

  In a virtual place, fully network driven, with an arbitrary number of players and an arbitrary number of enemies, what data should be cached in the server memory, in order to optimize smooth AI simulation? Trying to explain, lets say player A sees player B to E, and enemy A to G. Each of those players, see player A, but not necessarily each other. Same applies to enemies. Think of this question from a topdown perspective please. In many cases, for example, when a player shoots his gun, the server handles the sound as a radial "signal" that every other entity within reach "hear" and react upon. Doing these searches all the time for a whole area, containing possibly a lot of unrelated players and enemies, seems to be an issue, when the budget for each AI agent is so small. Should every entity cache whatever enters and exits from its radius of awareness? Is there a great way to trace the entities close by without flooding the memory with such caches? What about other AI related problems that may arise, after assuming the previous one works well? We're talking about environments with possibly hundreds of enemies, a swarm.

  Read the article

• AI Game Programming : Bayesian Networks, how to make efficient?

  - by Mahbubur R Aaman

  We know that AI is one of the most important part of Game Programming. Bayesian networks is one of the core part of AI at Game Programming. Bayesian networks are graphs that compactly represent the relationship between random variables for a given problem. These graphs aid in performing reasoning or decision making in the face of uncertainty. Here me, utilizing the monte carlo method and genetic algorithms. But tooks much time and sometimes crashes due to memory. Is there any way to implement efficiently?

  Read the article

• What code have you written with #pragma you found useful?

  - 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? Edit: I'm not just after a list of #pragma directives. Perhaps I should rephrase this question a bit more: What code have you written with #pragma you found useful?

  Read the article

• AI for a mixed Turn Based + Real Time battle system - Something "Gambit like" the right approach?

  - by Jason L.

  This is maybe a question that's been asked 100 times 1,000 different ways. I apologize for that :) I'm in the process of building the AI for a game I'm working on. The game is a turn based one, in the vein of Final Fantasy but also has a set of things that happen in real time (reactions). I've experimented with FSM, HFSMs, and Behavior Trees. None of them felt "right" to me and all felt either too limiting or too generic / big. The idea I'm toying with now is something like a "Rules engine" that could be likened to the Gambit system from Final Fantasy 12. I would have a set of predefined personalities. Each of these personalities would have a set of conditions it would check on each event (Turn start, time to react, etc). These conditions would be priority ordered, and the first one that returns true would be the action I take. These conditions can also point to a "choice" action, which is just an action that will make a choice based on some Utility function. Sort of a mix of FSM/HFSM and a Utility Function approach. So, a "gambit" with the personality of "Healer" may look something like this: (ON) Ally HP = 0% - Choose "Relife" spell (ON) Ally HP < 50% - Choose Heal spell (ON) Self HP < 65% - Choose Heal spell (ON) Ally Debuff - Choose Debuff Removal spell (ON) Ally Lost Buff - Choose Buff spell Likewise, a "gambit" with the personality of "Agressor" may look like this: (ON) Foe HP < 10% - Choose Attack skill (ON) Foe any - Choose target - Choose Attack skill (ON) Self Lost Buff - Choose Buff spell (ON) Foe HP = 0% - Taunt the player What I like about this approach is it makes sense in my head. It also would be extremely easy to build an "AI Editor" with an approach like this. What I'm worried about is.. would it be too limiting? Would it maybe get too complicated? Does anyone have any experience with AIs in Turn Based games that could maybe provide me some insight into this approach.. or suggest a different approach? Many thanks in advance!!!

  Read the article

• How to add a sound that an enemy AI can hear?

  - by Chris

  Given: a 2D top down game Tiles are stored just in a 2D array Every tile has a property - dampen (so bricks might be -50db, air might be -1) From this I want to add it so a sound is generated at point x1, y1 and it "ripples out". The image below kind of outlines it better. Obviously the end goal is that the AI enemy can "hear" the sound - but if a wall is blocking it, the sound doesn't travel as far. Red is the wall, which has a dampen of 50db. I think in the 3rd game tick I am confusing my maths. What would be the best way of implementing this?

  Read the article

• what is the best way to add avoidance behaviour to an AI framework?

  - by SirYakalot

  I have a small AI framework for a shooting based game. Although this is rarely needed, as when agents are close to each other they are usually fighting, I would none the less like some way of implementing avoidance behaviour. For example, if in the future I wanted to take away their weapons and have many of them wonder around in a crowd, how would I make them not hit / pass through each other, but instead avoid each other? two ideas I had would be to add steering behaviour and allow that to deviate from their path, or to use a dynamic pathfinding technique. Are there better ways? What is the more respected practice?

  Read the article

• When attaching AI to a vehicle should I define all steps or try Line of Sight?

  - by ThorDivDev

  This problem is related to an intersection simulation I am building for university. I will try to make it as general as possible. I am trying to assign AI to a vehicle using the JMonkeyEngine platform. AIGama_JmonkeyEngine explains that if you wish to create a car that follows a path you can define the path in steps. If there was no physics attached whatsoever then all you need to do is define the x,y,z values of where you want the object to appear in all subsequent steps. I am attaching the vehicleControl that implements jBullet. In this case the author mentions that I would need to define the steering and accelerating behaviors at each step. I was trying to use ghost controls that represented waypoints and when on colliding the car would decide what to do next like stopping at a red light. This didn't work so well. Car doesn't face right. public void update(float tpf) { Vector3f currentPos = aiVehicle.getPhysicsLocation(); Vector3f baseforwardVector = currentPos.clone(); Vector3f forwardVector; Vector3f subsVector; if (currentState == ObjectState.Running) { aiVehicle.accelerate(-800); } else if (currentState == ObjectState.Seeking) { baseforwardVector = baseforwardVector.normalize(); forwardVector = aiVehicle.getForwardVector(baseforwardVector); subsVector = pointToSeek.subtract(currentPos.clone()); System.out.printf("baseforwardVector: %f, %f, %f\n", baseforwardVector.x, baseforwardVector.y, baseforwardVector.z); System.out.printf("subsVector: %f, %f, %f\n", subsVector.x, subsVector.y, subsVector.z); System.out.printf("ForwardVector: %f, %f, %f\n", forwardVector.x, forwardVector.y, forwardVector.z); if (pointToSeek != null && pointToSeek.x + 3 >= currentPos.x && pointToSeek.x - 3 <= currentPos.x) { aiVehicle.steer(0.0f); aiVehicle.accelerate(-40); } else if (pointToSeek != null && pointToSeek.x > currentPos.x) { aiVehicle.steer(-0.5f); aiVehicle.accelerate(-40); } else if (pointToSeek != null && pointToSeek.x < currentPos.x) { aiVehicle.steer(0.5f); aiVehicle.accelerate(-40); } } else if (currentState == ObjectState.Stopped) { aiVehicle.accelerate(0); aiVehicle.brake(40); } }

  Read the article

• C# XNA: AI Engine?

  - by Rosarch

  I'm developing a game with zombie running around in a swamp. I want AIs to have functionality like "chase this target" or "run away". A major stumbling block is pathfinding. Is there a good pathfinding/AI engine in XNA, or should I roll my own? Does anyone have any experience with this: http://www.codeplex.com/simpleAI?

  Read the article

• Using Artificial Intelligence (AI) to predict Stock Prices

  - by akaphenom

  Given a set of datavery similar to the Motley Fool CAPS system, where individual users enter BUY and SELL recommendations on various equities. What I would like to do is show each recommendation and I guess some how rate (1-5) as to whether it was good predictor<5 (ie corellation coeffient = 1) of the future stock price (or eps or whatever) or a horrible predictor (ie corellation coeffient = -1) or somewhere inbetween. Each recommendation is tagged to a particular user, so that can be tracked over time. I can also track market direction (bullish / bearish) based off of something like sp500 price. The components I think that would make sense in the model would be: user direction (long/short) market direction sector of stock The thought is that some users are better in bull markets than bear (and vice versa), and some are better at shorts than longs- and then a cobination the above. I can automatically tag the market direction and sector (based off the market at the time and the equity being recommended). The thought is that I could present a series of screens and allow me to rank each individual recommendation by displaying available data absolute, market and sector out performance for a specfic time period out. I would follow a detailed list for ranking the stocks so that the ranking is as objective as possible. My assumtion is that a single user is right no more than 57% of the time - but who knows. I could load the system and say "Lets rank the recommendation as a predictor of stock value 90 days forward"; and that would represent a very explicit set of rankings. NOW here is the crux - I want to create some sort of machine learning algorithm that can identify patterns over a series of time so that as recommendations stream into the application we maintain a ranking of that stock (ie. similar to correlation coeeficient) as to the likelihood of that recommendation (in addition to the past series of recommendations ) will affect the price. Now here is the super crux. I have never taken an AI class / read an AI book / never mind specific to machine learning. So I cam looking for guidance - sample or description of a similar system I could adapt. Place to look for info or any general help. Or even push me in the right direction to get started... My hope is to implment this with F# and be able to impress my friends with a new skillset in F# with an implementation of machine learnign and potentially something (application / source) I can include in a tech portfolio or blog space; Thank you for any advice in advance.

  Read the article

• Is chess-like AI really inapplicable in turn-based strategy games?

  - by Joh

  Obviously, trying to apply the min-max algorithm on the complete tree of moves works only for small games (I apologize to all chess enthusiasts, by "small" I do not mean "simplistic"). For typical turn-based strategy games where the board is often wider than 100 tiles and all pieces in a side can move simultaneously, the min-max algorithm is inapplicable. I was wondering if a partial min-max algorithm which limits itself to N board configurations at each depth couldn't be good enough? Using a genetic algorithm, it might be possible to find a number of board configurations that are good wrt to the evaluation function. Hopefully, these configurations might also be good wrt to long-term goals. I would be surprised if this hasn't been thought of before and tried. Has it? How does it work?

  Read the article

• What online games would let me practice AI development?

  - by Myn

  I am working on a project experimenting with Artificial Intelligence design methodologies for online world avatars. Online world here is quite open to interpretation; Second Life is just as applicable as Counter Strike, for example. To carry out these experiments, I must first develop an intelligent agent for the world in question. However, I am honestly quite stuck as to which game I could use for this. My preference was to develop an intelligent "bot" to play an MMORPG, but the legal restrictions of such games prevent me. Likewise with most FPS games the use of an intelligent agent in place of a human player is considered cheating. The alternative, of course, is to create an NPC bot; an intelligent agent that populates the world alongside the player(s) rather than replacing a particular player. However, I'm struggling to find a game that would enable me to create an intelligent opponent either. I suppose the main requirements would be a game allows a third party program to use the function calls usually utilised by players and read feedback on the state of the world. Quake III and Unreal Tournament have been suggested before, but they have already been the subject of work on this research project. Short of writing my own online game from scratch, what games would allow me, through middleware, an API, or otherwise, to create either an artificially intelligent player or a bot?

  Read the article

• Recent programming language for 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?

  Read the article

• Solaris 11 pkg fix is my new friend

  - by user12611829

  While putting together some examples of the Solaris 11 Automated Installer (AI), I managed to really mess up my system, to the point where AI was completely unusable. This was my fault as a combination of unfortunate incidents left some remnants that were causing problems, so I tried to clean things up. Unsuccessfully. Perhaps that was a bad idea (OK, it was a terrible idea), but this is Solaris 11 and there are a few more tricks in the sysadmin toolbox. Here's what I did. # rm -rf /install/* # rm -rf /var/ai # installadm create-service -n solaris11-x86 --imagepath /install/solaris11-x86 \ -s [email protected] Warning: Service svc:/network/dns/multicast:default is not online. Installation services will not be advertised via multicast DNS. Creating service from: [email protected] DOWNLOAD PKGS FILES XFER (MB) SPEED Completed 1/1 130/130 264.4/264.4 0B/s PHASE ITEMS Installing new actions 284/284 Updating package state database Done Updating image state Done Creating fast lookup database Done Reading search index Done Updating search index 1/1 Creating i386 service: solaris11-x86 Image path: /install/solaris11-x86 So far so good. Then comes an oops..... setup-service[168]: cd: /var/ai//service/.conf-templ: [No such file or directory] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ This is where you generally say a few things to yourself, and then promise to quit deleting configuration files and directories when you don't know what you are doing. Then you recall that the new Solaris 11 packaging system has some ability to correct common mistakes (like the one I just made). Let's give it a try. # pkg fix installadm Verifying: pkg://solaris/install/installadm ERROR dir: var/ai Group: 'root (0)' should be 'sys (3)' dir: var/ai/ai-webserver Missing: directory does not exist dir: var/ai/ai-webserver/compatibility-configuration Missing: directory does not exist dir: var/ai/ai-webserver/conf.d Missing: directory does not exist dir: var/ai/image-server Group: 'root (0)' should be 'sys (3)' dir: var/ai/image-server/cgi-bin Missing: directory does not exist dir: var/ai/image-server/images Group: 'root (0)' should be 'sys (3)' dir: var/ai/image-server/logs Missing: directory does not exist dir: var/ai/profile Missing: directory does not exist dir: var/ai/service Group: 'root (0)' should be 'sys (3)' dir: var/ai/service/.conf-templ Missing: directory does not exist dir: var/ai/service/.conf-templ/AI_data Missing: directory does not exist dir: var/ai/service/.conf-templ/AI_files Missing: directory does not exist file: var/ai/ai-webserver/ai-httpd-templ.conf Missing: regular file does not exist file: var/ai/service/.conf-templ/AI.db Missing: regular file does not exist file: var/ai/image-server/cgi-bin/cgi_get_manifest.py Missing: regular file does not exist Created ZFS snapshot: 2012-12-11-21:09:53 Repairing: pkg://solaris/install/installadm Creating Plan (Evaluating mediators): | DOWNLOAD PKGS FILES XFER (MB) SPEED Completed 1/1 3/3 0.0/0.0 0B/s PHASE ITEMS Updating modified actions 16/16 Updating image state Done Creating fast lookup database Done In just a few moments, IPS found the missing files and incorrect ownerships/permissions. Instead of reinstalling the system, or falling back to an earlier Live Upgrade boot environment, I was able to create my AI services and now all is well. # installadm create-service -n solaris11-x86 --imagepath /install/solaris11-x86 \ -s [email protected] Warning: Service svc:/network/dns/multicast:default is not online. Installation services will not be advertised via multicast DNS. Creating service from: [email protected] DOWNLOAD PKGS FILES XFER (MB) SPEED Completed 1/1 130/130 264.4/264.4 0B/s PHASE ITEMS Installing new actions 284/284 Updating package state database Done Updating image state Done Creating fast lookup database Done Reading search index Done Updating search index 1/1 Creating i386 service: solaris11-x86 Image path: /install/solaris11-x86 Refreshing install services Warning: mDNS registry of service solaris11-x86 could not be verified. Creating default-i386 alias Setting the default PXE bootfile(s) in the local DHCP configuration to: bios clients (arch 00:00): default-i386/boot/grub/pxegrub Refreshing install services Warning: mDNS registry of service default-i386 could not be verified. # installadm create-service -n solaris11u1-x86 --imagepath /install/solaris11u1-x86 \ -s [email protected] Warning: Service svc:/network/dns/multicast:default is not online. Installation services will not be advertised via multicast DNS. Creating service from: [email protected] DOWNLOAD PKGS FILES XFER (MB) SPEED Completed 1/1 514/514 292.3/292.3 0B/s PHASE ITEMS Installing new actions 661/661 Updating package state database Done Updating image state Done Creating fast lookup database Done Reading search index Done Updating search index 1/1 Creating i386 service: solaris11u1-x86 Image path: /install/solaris11u1-x86 Refreshing install services Warning: mDNS registry of service solaris11u1-x86 could not be verified. # installadm list Service Name Alias Of Status Arch Image Path ------------ -------- ------ ---- ---------- default-i386 solaris11-x86 on i386 /install/solaris11-x86 solaris11-x86 - on i386 /install/solaris11-x86 solaris11u1-x86 - on i386 /install/solaris11u1-x86 This is way way better than pkgchk -f in Solaris 10. I'm really beginning to like this new IPS packaging system.

  Read the article

• Design: an array of "enemy" objects for game AI

  - by Meko

  Hi..I made shoot em up like game.But I have only one ememy which fallows me on screen.But I want to make lots of enemys like each 10 second they will across on screen together 5 or 10 enemys. ArrayList<Enemies> enemy = new ArrayList<Enemies>(); for (Enemies e : enemy) { e.draw(g); } is it good creating array list and then showing on screen? And Do I have to make some planing movements thoose enemies in my code ? I want that they vill appear not on same pozition.Like First 5 enemies will come top of screen then the other 5 or 10 enemies will come from left side.. so on.What is best solution for this?

  Read the article

• What could be adding "Pragma:no-cache" to my response Headers? (Apache, PHP)

  - by Daniel Magliola

  I have a website whose maintenance I've inherited, which is a big hairy mess. One of the things i'm doing is improving performance. Among other things, I'm adding Expires headers to images. Now, there are some images that are served through a PHP file, and I notice that they do have the Expires header, but they also get loaded every time. Looking at Response Headers, I see this: Expires Wed, 15 Jun 2011 18:11:55 GMT Cache-Control no-store, no-cache, must-revalidate, post-check=0, pre-check=0 Pragma no-cache Which obviously explains the problem. Now, i've looked all over the code base, and it doesn't say "pragma" anywhere. .htaccess doesn't seem to have anything related either. Any ideas who could be setting those "pragma" (and "cache-control") headers, and how I can avoid it? Thanks! Daniel

  Read the article

• Calculating the "power" of a player in a "Defend Your Castle" type game

  - by Jesse Emond

  I'm a making a "Defend Your Castle" type game, where each player has a castle and must send units to destroy the opponent's castle. It looks like this (and yeah, this is the actual game, not a quick paint drawing..): Now, I'm trying to implement the AI of the opponent, and I'd like to create 4 different AI levels: Easy, Normal, Hard and Hardcore. I've never made any "serious" AI before and I'd like to create a quite complete one this time. My idea is to calculate a player's "power" score, based on the current health of its castle and the individual "power" score of its units. Then, the AI would just try to keep a score close to the player's one(Easy would stay below it, Normal would stay near it and Hard would try to get above it). But I just don't know how to calculate a player's power score. There are just too many variables to take into account and I don't know how to properly use them to create one significant number(the power level). Could anyone help me out on this one? Here are the variables that should influence a player's power score: Current castle health, the unit's total health, damage, speed and attack range. Also, the player can have increased Income(the money bag), damage(the + Damage) and speed(the + speed)... How could I include them in the score? I'm really stuck here... Or is there an other way that I could implement AI for this type of game? Thanks for your precious time.

  Read the article

• Implementing a FSM with ActionScript 2 without using classes?

  - by Up2u

  I have seen several references of A.I. and FSM, but sadly I still can't understand the point of an FSM in AS2.0. Is it a must to create a class for each state? I have a game-project which also it has an A.I., the A.I. has 3 states: distanceCheck, ChaseTarget, and Hit the target. It's an FPS game and played via mouse. I have created the A.I. successfully, but I want to convert it to FSM method... My first state is CheckDistanceState() and in that function I look for the nearest target and trigger the function ChaseState(), there I insert the Hit() function to destroy the enemy, The 3 functions that I created are being called in AI_cursor.onEnterframe. Is there any chance to implement an FSM without the need to create a class? From what I've read before, you have to create a class. I prefer to write the code on frames in flash and I still don't understand how to have external classes.

  Read the article

• what knowledge would I need to make a good simulation games

  - by Skeith

  I have an idea for a game like theme park but don't know how simulation games are made. I am not some noob on his first game so I appreciated constructive answers instead of "its hard, don't do it". What I want is to know how simulation game mechanics are put together. I figure it would be heaver on the AI than normal games and not knowing much about AI would like to know some programming techniques I should look into for this style game. specific techniques please not just a book on ai. what sort of architecture would be used? I guess it would have some sort of probability engine with pre designed events that are triggered based on the AI state. Would it use a FSM or be purely event driven ? Any information on how a sims game functions would be cool.

  Read the article

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >