A Procedural Balanced Map Generator with Self-adaptive Complexity for the Real-Time Strategy Game Planet Wars

Lara-Cabrera, Raúl; Cotta, Carlos; Fernández-Leiva, Antonio J.

doi:10.1007/978-3-642-37192-9_28

Cited by 14 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Dalam game genre RTS juga membutuhkan memperhitungkan beberapa jenis unit berdasarkan real-time. RTS sendiri memungkinkan menambah unit occlusion pada suatu game pada waktu itu juga namun, terbatas pada batasan nilai unit tersebut [11].…”

Section: A Procedural Content Generator (Pcg)unclassified

Analisis Pengaruh Penerapan Dungeon Statis Dan Dinamis Pada Game Berjenis Adventure Terhadap Tingkat Enjoyment

Permadi

Suciati

Kuswardayan

2018

JUTI

View full text Add to dashboard Cite

show abstract

Section: A Procedural Content Generator (Pcg)unclassified

Analisis Pengaruh Penerapan Dungeon Statis Dan Dinamis Pada Game Berjenis Adventure Terhadap Tingkat Enjoyment

Permadi

Suciati

Kuswardayan

2018

JUTI

View full text Add to dashboard Cite

show abstract

“…When it comes to gameplay balance, it is imperative that the game is actually played in order to derive such balance metrics: while there are instances where human players are involved in this evaluation [4], the most common approach is to use simulations with arti cial agents to create synthetic play traces. e playtraces can be processed in many ways, for instance measuring the changes in who is leading [2], an even ratio in terms of players' assets [18] etc. For the shooter genre in particular, a popular metric is the entropy of the kills distribution in a deathmatch game [17]; this metric has been used to evolve levels [3] as well as weapons [10,11,17] towards balanced arti cial agents' match-ups.…”

Section: Game Balancingmentioning

confidence: 99%

Learning the patterns of balance in a multi-player shooter game

Karavolos

Liapis

Yannakakis

2017

Proceedings of the 12th International Conference on the Foundations of Digital Games

View full text Add to dashboard Cite

A particular challenge of the game design process is when the designer is requested to orchestrate dissimilar elements of games such as visuals, audio, narrative and rules to achieve a speci c play experience. Within the domain of adversarial rst person shooter games, for instance, a designer must be able to comprehend the di erences between the weapons available in the game, and appropriately cra a game level to take advantage of strengths and weaknesses of those weapons. As an initial study towards computationally orchestrating dissimilar content generators in games, this paper presents a computational model which can classify a matchup of a team-based shooter game as balanced or as favoring one or the other team. e computational model uses convolutional neural networks to learn how game balance is a ected by the level, represented as an image, and each team's weapon parameters. e model was trained on a corpus of over 50,000 simulated games with arti cial agents on a diverse set of levels created by 39 di erent generators. e results show that the fusion of levels, when processed by a convolutional neural network, and weapon parameters yields an accuracy far above the baseline but also improves accuracy compared to articial neural networks or models which use partial information, such as only the weapon or only the level as input.

show abstract

“…More precisely, we aimed to generate maps for the RTS game Planet Wars, focusing on the properties that a priori make it entertaining and appealing to play, ensuring that the games are balanced (i.e., the forces of one of the players are not overwhelmingly larger than those of the other playersee [19]) and dynamic (i.e., action packed, there are battles and changes in the balance of power of the players -see [21]) For this purpose we are going to use evolutionary algorithms (EAs). An EA is a nature-inspired optimization and search method that deals with a set of entities (termed population), which represents a set of possible solutions.…”

Section: A Playability-oriented Pcgmentioning

confidence: 99%

Procedural Content Generation for Real-Time Strategy Games

Lara-Cabrera¹,

Nogueira-Collazo²,

Cotta³

et al. 2015

IJIMAI

Self Cite

View full text Add to dashboard Cite

-Videogames are one of the most important and profitable sectors in the industry of entertainment. Nowadays, the creation of a videogame is often a large-scale endeavor and bears many similarities with, e.g., movie production. On the central tasks in the development of a videogame is content generation, namely the definition of maps, terrains, non-player characters (NPCs) and other graphical, musical and AI-related components of the game. Such generation is costly due to its complexity, the great amount of work required and the need of specialized manpower. Hence the relevance of optimizing the process and alleviating costs. In this sense, procedural content generation (PCG) comes in handy as a means of reducing costs by using algorithmic techniques to automatically generate some game contents. PCG also provides advantages in terms of player experience since the contents generated are typically not fixed but can vary in different playing sessions, and can even adapt to the player herself. For this purpose, the underlying algorithmic technique used for PCG must be also flexible and adaptable. This is the case of computational intelligence in general and evolutionary algorithms in particular. In this work we shall provide an overview of the use of evolutionary intelligence for PCG, with special emphasis on its use within the context of realtime strategy games. We shall show how these techniques can address both playability and aesthetics, as well as improving the game AI.

show abstract

A Procedural Balanced Map Generator with Self-adaptive Complexity for the Real-Time Strategy Game Planet Wars

Cited by 14 publications

References 14 publications

Analisis Pengaruh Penerapan Dungeon Statis Dan Dinamis Pada Game Berjenis Adventure Terhadap Tingkat Enjoyment

Analisis Pengaruh Penerapan Dungeon Statis Dan Dinamis Pada Game Berjenis Adventure Terhadap Tingkat Enjoyment

Learning the patterns of balance in a multi-player shooter game

Procedural Content Generation for Real-Time Strategy Games

Contact Info

Product

Resources

About