In-game tactic adaptation for interactive computer games

Hartley, Thomas; Mehdi, Qasim

doi:10.1109/cgames.2011.6000358

Cited by 8 publications

(7 citation statements)

References 2 publications

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“…Figure 2 illustrates a cubic Bézier Spline within a navigation mesh cell. The in-game navigation mesh cell route adaptation system proposed in this paper is also inspired by our online tactic selection architecture [3] [5], which learns and adapts an NPC's selection of player vs. player tactics. In this work the approach is combined with Bézier Splines and optimized for the selection of routes through navigation mesh cells rather than scripted tactics.…”

Section: In-game Adaptation Of Navigation Mesh Cell Movementmentioning

confidence: 99%

“…The first component of the equation evaluates the effect of the route on an NPC's health. It determines the difference in life caused by the tactic [2] [3]. That is the life lost from any opponents encountered minus the life lost from the NPC.…”

Section: A Navigation Cell Path Fitness and Weight-updatementioning

confidence: 99%

“…To achieve this aim we propose to combine path movement and smoothing techniques that make use of Bézier Splines [17] with techniques inspired by reinforcement learning (RL) [24] and our previous work on online tactic selection [3] [5].…”

Section: In-game Adaptation Of Navigation Mesh Cell Movementmentioning

confidence: 99%

“…Researchers in the area, such as [1] [2] and our previous work [3] [4] [5] [6] have seen significant success and it is considered an essential approach in work towards more challenging, unpredictable and player-centric games [7]. The games industry also consider learning and adaptation in games to be an important advance that is highly desirable for computer games in order to maintain their entertainment value [8] [9].…”

mentioning

confidence: 99%

“…In previous works we have explored approaches to online learning for action prediction [6] and tactic adaptation [3]. In this paper we present an approach to in-game adaptation of NPC movement in virtual worlds.…”

mentioning

confidence: 99%

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In-game adaptation of a navigation mesh cell path

Hartley

Mehdi

2012

2012 17th International Conference on Computer Games (CGAMES)

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A fundamental requirement of non-player characters (NPCs) in today's computer games is to be able to move through a complex virtual world in an intelligent way. Pathfinding or path planning techniques are used by games developers to determine suitable routes, during gameplay, from a starting location to a goal position. These techniques make use of graphs to efficiently represent the game world. Navigation graphs can be created using different constructs, such as waypoints, navigation meshes and grids. Typically, path planning systems use the navigation graph to find the shortest path between locations and do not adapt in-game based on a player's experience of navigating a path. In previous works we have explored approaches to in-game action prediction and tactic adaptation through machine learning inspired approaches. In this paper we present an approach to the in-game adaptation of NPC movement using navigation mesh cells. The technique allows NPCs to adapt their routes through cells based on previous experience whilst also preserving smooth paths. The system is applied to FPS game scenarios using the Unity3D game engine. The results show that the technique offers a promising approach to the adaptation of NPC movement through navigation meshes.

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Section: In-game Adaptation Of Navigation Mesh Cell Movementmentioning

confidence: 99%

Section: A Navigation Cell Path Fitness and Weight-updatementioning

confidence: 99%

Section: In-game Adaptation Of Navigation Mesh Cell Movementmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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In-game adaptation of a navigation mesh cell path

Hartley

Mehdi

2012

2012 17th International Conference on Computer Games (CGAMES)

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Analyzing the Social Dynamics of Non-Player Characters

Johansson

Strååt

Warpefelt

et al. 2014

Frontiers in Gaming Simulation

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Spotting the Difference: Identifying Player Opponent Preferences in FPS Games

Conroy

2012

Lecture Notes in Computer Science

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This paper describes a study designed to understand player responses to artificially intelligent opponents in multi-player First Person Shooter games. It examines the player's ability to tell the difference between artificially intelligent opponents and other human players, and investigates the players' perceptions of these opponents. The study examines player preferences in this regard and identifies the significance of the cues and signs players use to categorise an opponent as artificial or human.

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In-game tactic adaptation for interactive computer games

Cited by 8 publications

References 2 publications

In-game adaptation of a navigation mesh cell path

In-game adaptation of a navigation mesh cell path

Analyzing the Social Dynamics of Non-Player Characters

Spotting the Difference: Identifying Player Opponent Preferences in FPS Games

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