A study on human like characteristics in real time strategy games

Hagelbäck, Johan; Johansson, Stefan J.

doi:10.1109/itw.2010.5593362

Cited by 9 publications

(5 citation statements)

References 4 publications

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“…While this does provide a very close feel towards playing against a human, its inhumanly low reaction time towards stimuli in game and very low response time towards the moves it must take or avoid also hinder the experience of playing against the bot. As shown in [19][20], it is found that human-like NPCs are far more fun to play against and it helps in the overall enjoyability of the game.…”

Section: B Current Status and Implementation Of Game Aimentioning

confidence: 99%

Game Ai Using Parametrized Behavior Monitoring

Suriyashekar¹

2021

TURCOMAT

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Game AI with a Non-Player Controlled Bots is the systems that are built into a game. These systems offer competition or objectives that the player must overcome to progress. Although in most situations, these NPCs provide an acceptable level of competition, over time, they become predictable and no longer pose any challenge to the players. Game AIs and NPCs use a basic detection and computational system to perform actions that seem to oppose the players, and these are even lesser of an opposition to players and will lead to loss of worth in the section of the game that would be more enjoyable to those if the opposition would be more challenging.

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Section: B Current Status and Implementation Of Game Aimentioning

confidence: 99%

Game Ai Using Parametrized Behavior Monitoring

Suriyashekar¹

2021

TURCOMAT

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“…There has been extensive research done by different authors who were trying to pinpoint what makes the human style of playing RTS games different to the computer bots play style. In article [2] the aim did not focus on creating a bot that behaved like a human, but rather to find the characteristics of humanlike behaviour. Their findings on human characteristics were as follows: simultaneous movements, overall strategy, attack tactics, placement of buildings, level of activity, ability to adapt, build order, player strength, map knowledge, intelligence and creativity, and monotony.…”

Section: Related Work -Identified Characteristics Of Human-like Behaviourmentioning

confidence: 99%

Real-Time Strategy Games Bot Based on a Non- Simultaneous Human-Like Movement Characteristic

Novak¹,

Verber²

2013

JoC V3 N2

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This paper discusses how to improve the behaviour of artificial intelligence (AI) algorithms during real-time strategy games so as to behave more like human players. If we want to achieve this goal we must take into consideration several aspects of human psychology -human characteristics. Here we focused on the limited reaction times of the players in contrast to the enormous speed of modern computers. We propose an approach that mimics the limitations of the human reaction times. In order to work properly, the AI must know the average reaction times of the players. Some techniques and proposed algorithm outline are presented on how to achieve this.

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“…In this paper, we focus on tactics, in between strategy (high-level) and micro-management (lower-level), as seen 1 in Fig. 1.…”

Section: B Rts Gameplaymentioning

confidence: 99%

“…In their study on human like characteristics in RTS games, Hagelbäck and Johansson [1] found out that "tactics was one of the most successful indicators of whether the player was human or not". No current non-cheating AI consistently beats good human players in RTS (aim cheating is harder to define for FPS games), nor are fun to play many games against.…”

Section: Introduction a Game Aimentioning

confidence: 99%

Special tactics: A Bayesian approach to tactical decision-making

Synnaeve¹,

Bessìère²

2012

2012 IEEE Conference on Computational Intelligence and Games (CIG)

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Abstract-We describe a generative Bayesian model of tactical attacks in strategy games, which can be used both to predict attacks and to take tactical decisions. This model is designed to easily integrate and merge information from other (probabilistic) estimations and heuristics. In particular, it handles uncertainty in enemy units' positions as well as their probable tech tree. We claim that learning, being it supervised or through reinforcement, adapts to skewed data sources. We evaluated our approach on StarCraft 1 : the parameters are learned on a new (freely available) dataset of game states, deterministically re-created from replays, and the whole model is evaluated for prediction in realistic conditions. It is also the tactical decision-making component of our StarCraft AI competition bot.

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A study on human like characteristics in real time strategy games

Cited by 9 publications

References 4 publications

Game Ai Using Parametrized Behavior Monitoring

Game Ai Using Parametrized Behavior Monitoring

Real-Time Strategy Games Bot Based on a Non- Simultaneous Human-Like Movement Characteristic

Special tactics: A Bayesian approach to tactical decision-making

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