Search Results - "Snodgrass, Sam"

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  1. 1

    Learning to Generate Video Game Maps Using Markov Models by Snodgrass, Sam, Ontanon, Santiago

    “…Procedural content generation has become a popular research topic in recent years. However, most content generation systems are specialized to a single game…”
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    Journal Article
  2. 2

    Deep learning for procedural content generation by Liu, Jialin, Snodgrass, Sam, Khalifa, Ahmed, Risi, Sebastian, Yannakakis, Georgios N., Togelius, Julian

    Published in Neural computing & applications (01-01-2021)
    “…Procedural content generation in video games has a long history. Existing procedural content generation methods, such as search-based, solver-based, rule-based…”
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    Journal Article
  3. 3

    Procedural Content Generation via Machine Learning (PCGML) by Summerville, Adam, Snodgrass, Sam, Guzdial, Matthew, Holmgard, Christoffer, Hoover, Amy K., Isaksen, Aaron, Nealen, Andy, Togelius, Julian

    Published in IEEE transactions on games (01-09-2018)
    “…This survey explores procedural content generation via machine learning (PCGML), defined as the generation of game content using machine learning models…”
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    Journal Article
  4. 4

    Procedural Content Generation via Knowledge Transformation (PCG-KT) by Sarkar, Anurag, Guzdial, Matthew, Snodgrass, Sam, Summerville, Adam, Machado, Tiago, Smith, Gillian

    Published in IEEE transactions on games (01-03-2024)
    “…In this article, we introduce the concept of procedural content generation via knowledge transformation (PCG-KT), a new lens and framework for characterizing…”
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    Journal Article
  5. 5

    Markov Models for Procedural Content Generation by Snodgrass, Sam

    Published 2018
    “…Procedural content generation (PCG) is a growing area of research focused on leveraging artificial intelligence in the design and creation of content (e.g.,…”
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    Dissertation
  6. 6

    Procedural level generation using multi-layer level representations with MdMCs by Snodgrass, Sam, Ontanon, Santiago

    “…The use of statistical and machine learning approaches, such as Markov chains, for procedural content generation (PCG) has been growing in recent years in the…”
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    Conference Proceeding
  7. 7

    Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders by Snodgrass, Sam, Sarkar, Anurag

    Published 17-06-2020
    “…Procedural content generation via machine learning (PCGML) has demonstrated its usefulness as a content and game creation approach, and has been shown to be…”
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    Journal Article
  8. 8

    Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games by Berns, Sebastian, Volz, Vanessa, Tokarchuk, Laurissa, Snodgrass, Sam, Guckelsberger, Christian

    Published 28-02-2024
    “…Similarity estimation is essential for many game AI applications, from the procedural generation of distinct assets to automated exploration with game-playing…”
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    Journal Article
  9. 9

    Analysis: The so‐called ‘Freedom Model’ of addiction treatment by Snodgrass, Sam

    Published in Alcoholism & Drug Abuse Weekly (09-12-2019)
    “…The below comments were originally posted, in shortened form, on the Facebook Broken No More page. We asked the author to revise for ADAW, and he did. He…”
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    Journal Article Newsletter
  10. 10

    ‘Rat Park’ studies don't prove isolation causes addiction by Snodgrass, Sam

    Published in Alcoholism & Drug Abuse Weekly (18-06-2018)
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    Journal Article Newsletter Trade Publication Article
  11. 11

    Procedural Content Generation via Knowledge Transformation (PCG-KT) by Sarkar, Anurag, Guzdial, Matthew, Snodgrass, Sam, Summerville, Adam, Machado, Tiago, Smith, Gillian

    Published 01-05-2023
    “…Sarkar, Anurag, et al. "Procedural Content Generation via Knowledge Transformation (PCG-KT)." IEEE Transactions on Games (2023) We introduce the concept of…”
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    Journal Article
  12. 12

    Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning by Volz, Vanessa, Justesen, Niels, Snodgrass, Sam, Asadi, Sahar, Purmonen, Sami, Holmgard, Christoffer, Togelius, Julian, Risi, Sebastian

    Published in 2020 IEEE Conference on Games (CoG) (01-08-2020)
    “…Recent procedural content generation via machine learning (PCGML) methods allow learning from existing content to produce similar content automatically. While…”
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    Conference Proceeding
  13. 13

    Prescription heroin as a treatment for opioid use disorders by Snodgrass, Sam

    Published in Alcoholism & Drug Abuse Weekly (19-09-2016)
    “…Opioid addiction is a disorder of brain structure and function. It is an illness. And the most effective treatment for this illness is medication. And as with…”
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    Journal Article Newsletter Trade Publication Article
  14. 14

    Exploring Level Blending across Platformers via Paths and Affordances by Sarkar, Anurag, Summerville, Adam, Snodgrass, Sam, Bentley, Gerard, Osborn, Joseph

    Published 22-08-2020
    “…Techniques for procedural content generation via machine learning (PCGML) have been shown to be useful for generating novel game content. While used primarily…”
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    Journal Article
  15. 15

    Medication, not psychotherapy, best for opioid addiction by Snodgrass, Sam

    Published in Alcoholism & Drug Abuse Weekly (07-03-2016)
    “…Many wonder whether psychotherapy is the best treatment for opioid addiction. Theories such as psychotherapy, self-empowerment and psychoanalysis have been…”
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    Journal Article Newsletter Trade Publication Article
  16. 16

    Deep Learning for Procedural Content Generation by Liu, Jialin, Snodgrass, Sam, Khalifa, Ahmed, Risi, Sebastian, Yannakakis, Georgios N, Togelius, Julian

    Published 09-10-2020
    “…Neural Computing and Applications 2020 (Early Access) Procedural content generation in video games has a long history. Existing procedural content generation…”
    Get full text
    Journal Article
  17. 17

    Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning by Volz, Vanessa, Justesen, Niels, Snodgrass, Sam, Asadi, Sahar, Purmonen, Sami, Holmgård, Christoffer, Togelius, Julian, Risi, Sebastian

    Published 26-05-2020
    “…Recent procedural content generation via machine learning (PCGML) methods allow learning from existing content to produce similar content automatically. While…”
    Get full text
    Journal Article
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