Results 21 to 30 of about 13,064,947 (308)
Generation of Space Shooter Level Using Genetic Approach
Jurnal Informatika, 2019 In this article, we used genetic algorithm and geometric-based approach to generating level for 2D space shooter game. We used the defined fitness value from game designer to limit the fitness value of the genetic algorithm process.
Ahmad Hamdani, Wahyu Andhyka Kusuma
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Alexandria Engineering Journal, 2023 A level generator is a tool that generates game levels from noise. Training a generator without a dataset suffers from feedback sparsity, since it is unlikely to generate a playable level via random exploration. A common solution is shaped rewards, which
Yahia Zakaria +2 more
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DOOM Level Generation Using Generative Adversarial Networks [PDF]
2018 IEEE Games, Entertainment, Media Conference (GEM), 2018 We applied Generative Adversarial Networks (GANs) to learn a model of DOOM levels from human-designed content. Initially, we analysed the levels and extracted several topological features. Then, for each level, we extracted a set of images identifying the occupied area, the height map, the walls, and the position of game objects.
GIACOMELLO, EDOARDO +2 more
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Sentence-level heuristic tree search for long text generation
Complex & Intelligent Systems, 2023 In this study, we primarily aim to address the exposure bias issue in long text generation intrinsic to statistical language models. We propose a sentence-level heuristic tree search algorithm, specially tailored for long text generation, to mitigate the
Zheng Chen, Zhejun Liu
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Vibrational levels of a generalized Morse potential
The Journal of Chemical Physics, 2022 A Generalized Morse Potential (GMP) is an extension of the Morse Potential (MP) with an additional exponential term and an additional parameter that compensate for MP’s erroneous behavior in the long range part of the interaction potential. Because of the additional term and parameter, the vibrational levels of the GMP cannot be solved analytically ...
Saad Qadeer +3 more
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Novel Linguistic Steganography Based on Character-Level Text Generation
Mathematics, 2020 With the development of natural language processing, linguistic steganography has become a research hotspot in the field of information security. However, most existing linguistic steganographic methods may suffer from the low embedding capacity problem.
Lingyun Xiang +4 more
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Image-to-Level: Generation and Repair
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020 Procedural content generation via machine learning (PCGML) has recently gained research attention due to its ability to generate new game content with minimal user input. However, thus far those without machine learning expertise have been largely unable to use PCGML to generate content to fit their needs.
Eugene Chen +6 more
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High-Level and Hierarchical Test Sequence Generation
, 2002 Test generation at the gate-level produces high-quality tests but is computationally expensive in the case of large systems. Recently, several research efforts have investigated the possibility of devising test generation methods and tools to work on ...
Jervan, Gert, +4 more
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Emotion-Driven Level Generation [PDF]
, 2016 This chapter examines the relationship between emotions and level generation. Grounded in the experience-driven procedural content generation framework we focus on levels and introduce a taxonomy of approaches for emotion-driven level generation. We then review four characteristic level generators of our earlier work that exemplify each one of the ...
Togelius, Julian +1 more
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Two-level, many-paths generation [PDF]
Proceedings of the 33rd annual meeting on Association for Computational Linguistics -, 1995 Large-scale natural language generation requires the integration of vast amounts of knowledge: lexical, grammatical, and conceptual. A robust generator must be able to operate well even when pieces of knowledge are missing. It must also be robust against incomplete or inaccurate inputs.
Kevin Knight, Vasileios Hatzivassiloglou
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