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      "body": "if the zone vaues represent object identification certainty then there are other aspects of an object that might affect this value other than location within a zone, object that are moving are much easier to objects that are  perfectly still.\n\n![0_cdleOXvnoVsBXKDF.jpg](https://images.hive.blog/DQmUbX4gnFfWqRykPnXiykuJmBpRfbeBtPRnkQMqCizW5hg/0_cdleOXvnoVsBXKDF.jpg)\n\nadditionally object is mch harder to identify when they are camouflaged against their environment, because of either having simillar colors or patterns to the background.\n\nadditional factors can be incorporated the visions model by giving an object a bonus or penalty based the attribute an object is moving might add to its object identification certainty.\n\nif an object in the peripheral vision would normally have an object identification certainty then a camouflaged object in that same spot would essentially be invisible,\n\nnote that the examle zone value number and bonus penalty vaues used for illustration purposes and finding appropriate number would depend on the particular games and would require tuning and testing.",
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      "body": "Ai for both animals and guests used dual utility reasoning most time the characters would select options based purely on their. this options all had a rank of zero but their weight would vary depending  on the current situation.\n\n![0_cdleOXvnoVsBXKDF.jpg](https://images.hive.blog/DQmUbX4gnFfWqRykPnXiykuJmBpRfbeBtPRnkQMqCizW5hg/0_cdleOXvnoVsBXKDF.jpg)\n\nHowevr when characters were in a specifi sitution that distinct set of behaviors were appropriate for instance if a koala climbed up a tree it wouold have a number of climbing behaviors would have a higher rank to ensure that the animals didn't pick some other behaviot and pop out of the tree unrelistically.\n\nIts very important when one of these shows occurred both the animals and an appropiate number of guests showed the player was rewarded for their hard work training the animals.\n\nThe animals would go through  a specific sequence where they would come in to the show tank wait for the whistle, go back to the trainer, get a treat, wait for the whistle again, do their next trick and so forth.\n\nIn order to make sure that the right behaviors were picked at the right time, simply gave then appropriate ranks the best action at a given moment would play, these ranks coordinated by a simple FSM, although they could have been set in other ways.\n\nThere was one behaviour the took precedence over other behavior and that was dying, want any animals coming back from the dead  so that the die behavior had a rank of  million, ensuring that trumped anything else that might happen",
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      "body": "there are two basic or common way to make decision using utility, firstis called absolute utility and the second is relative utility. absolute utility is a simply evaluates each option and takes the on e with the most score, unlike the relative utility selects an option at random but use the score of each option to define the probabil;ity that it will be selected.\n\n\n![download (9).jpg](https://images.hive.blog/DQmSHZP2WewsnxMJpU2qm9BjuGrdCnStMR53mqZ739DACi4/download%20(9).jpg)\n\nthe approach is referred to as weight based random and is implemented as follow;\n\n* add up the total weight of all valid options.\n* pick a random number between 0 and the total weight from step to step.\n* going through the valid options one at a time and reduce the random number by the weight for each option, if your result is less than or equal to zero, pick this option.\n\nrelative and absolute utilities each have merit and demerit, absolute utilty is but when you want to ensure that the ai always takes takes the most appropriate action available. unfortunately this can become predictable given a predictability of absolute utility picking at random it ensures a certain amount of variation still giving perference to the most appropriate choices.\n\nthe combines absolute and relative untilities into a synergistic whole avoiding the weekness of both together and is also more flexible and expressive for the game designers. the idea is that rather assigning a single utility value to each option, we assign to rank and weight.\nFinally, we use weight-based random to select from among those options that remain. Once again, the four steps are as follows:\n* Eliminate the options with a weight of zero.\n* Find the highest rank category, and eliminate options that don’t belong to it.\n* Find the best remaining option (i.e., the one with the highest weight), and eliminate options that are much worse (i.e., much lower weight) than it.\n* Use weight-based random to select from the options that remain. \n\nOnce this is done, we can use relative utility to pick from among the options within the best category in a random but reasonable way.",
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      "body": "utility based approaches decision making examine the situation in the game of the moment a decision is being the utility, priority, weight or score if each using function and then drive decision making using the value.\n\n![images.jpg](https://cdn.steemitimages.com/DQmVjGWGKVz5NBToFtNrn2o3oxR45oYhsnichKCKCcJZnKF/images.jpg)\n\nthis can be contrated against purely decision making approaches the finite state machine (FSM) or behavior which evaluate a series of yes or no questions in order to select an option for excution.\n\nthe advantage of utility based on ai is that the better able to account5 the subtle situation whem making is decision, the situations where more than option is valid uility based ai will base its decision on an eveluation of the relative appropiateness and important pf each option insted of picking at random.\n\nbecause the heuristic function are hand authored, the designers retain reasonably tight over control the behavuior of the ai is better ensure that the player's experience will fit with their design.\n\nthe calculating each option utility in game is not enough to fix the weights the options a priori, only by eveluting them based on the moment when the decision is being made can you achieve the responsive behavior that utility based ai promise.",
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      "body": "behind combat banter in fear is that whenever possible , AI characters should talk to each other about what they are doing, rather than having an individual character rectal with a bark, different characters carry s short dialogue that broadcast mental state and intentions to the player.\n\n![download (10).jpg](https://images.hive.blog/DQmao4fWfaLwJGGJEFHjEJLQ1THQevonpMi5GYBh7jZR5JS/download%20(10).jpg)\n\n\nclarify with barks from some prototypical first person shooter [fps] game play situations, fps is when you fire at an enemy and cries out in pain. when an AI detects the player for the first time you shouts.\n\nwhen the agent loses sight of the player he exclaims, when you land that shot that takes out your enemy, why the ai always often these barks sound contrived and fall to convincingly sell the situation to the player.\n\nin fears instead of hiving the enemy who got shot  the injured AI replies i'm alright this dialogue serves multiple game play purpose , tells the player that he hit someone then it reinforces the illusion that ai are working together as a human like way lastly it hints the player the enemy state of health.",
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      "body": "relatively short list of difficulties enumerated realm of incertainly , this without doubt a long list of questions that are yet to even be asked. \n\n\n![download (9).jpg](https://images.hive.blog/DQmSHZP2WewsnxMJpU2qm9BjuGrdCnStMR53mqZ739DACi4/download%20(9).jpg)\n\n\nin a very real sence we have barely to scratch the surface of the what game ai can do, new form of technology are constantly arriving on the scence.\n\na large portion of than can will influence the direction of gaming in the future, these devices and mediums take us game.\n\nai game will be sure to follow behind anyone with an interest in game ai exciting time not only do we have opportunity to leverage a amount of technical capability and how but we can also look forword excitedly to the game and ai of the future.",
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