Mystical Tutor: A Magic: The Gathering Design Assistant via Denoising Sequence-to-Sequence Learning

Procedural Content Generation (PCG) has seen heavy focus on the generation of levels for video games, aesthetic content, and on rule creation, but has seen little use in other domains. Recently, the ready availability of Long Short Term Memory Recurrent Neural Networks (LSTM RNNs) has seen a rise in...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Ročník 12; číslo 1; s. 86 - 92
Hlavní autoři: Summerville, Adam, Mateas, Michael
Médium: Journal Article
Jazyk:angličtina
Vydáno: 25.06.2021
ISSN:2326-909X, 2334-0924
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Procedural Content Generation (PCG) has seen heavy focus on the generation of levels for video games, aesthetic content, and on rule creation, but has seen little use in other domains. Recently, the ready availability of Long Short Term Memory Recurrent Neural Networks (LSTM RNNs) has seen a rise in text based procedural generation, including card designs for Collectible Card Games (CCGs) like Hearthstone or Magic: The Gathering. In this work we present a mixed-initiative design tool, Mystical Tutor, that allows a user to type in a partial specification for a card and receive a full card design. This is achieved by using sequence-to-sequence learning as a denoising sequence autoencoder, allowing Mystical Tutor to learn how to translate from partial specifications to full.
AbstractList Procedural Content Generation (PCG) has seen heavy focus on the generation of levels for video games, aesthetic content, and on rule creation, but has seen little use in other domains. Recently, the ready availability of Long Short Term Memory Recurrent Neural Networks (LSTM RNNs) has seen a rise in text based procedural generation, including card designs for Collectible Card Games (CCGs) like Hearthstone or Magic: The Gathering. In this work we present a mixed-initiative design tool, Mystical Tutor, that allows a user to type in a partial specification for a card and receive a full card design. This is achieved by using sequence-to-sequence learning as a denoising sequence autoencoder, allowing Mystical Tutor to learn how to translate from partial specifications to full.
Author Mateas, Michael
Summerville, Adam
Author_xml – sequence: 1
  givenname: Adam
  surname: Summerville
  fullname: Summerville, Adam
– sequence: 2
  givenname: Michael
  surname: Mateas
  fullname: Mateas, Michael
BookMark eNo1kE1PAjEYhBuDiYj8AG_9A8W-2w9abgQVTSAexMTb5t1uF5pgV9uFhH_Ph3qayUxmDs8t6cU2ekLugY9Ac_uAIdR-tIciwAgKo-CK9AshJOO2kL2zLzSz3H7ekGHOoeJSjpU2VveJWx5yFxxu6WrXtWlCp3SJ6-AmdLXxdI7dxqcQ1_TR57COdHqa5w5jR_cBT2FsQz7X7_5n56PzrGvZv6cLjyme2jty3eA2--GfDsjH89Nq9sIWb_PX2XTBHCgFzInGOCMqy6ta17XmoC1IibziRlkPagyAzjdOG7AonKqNcJzXZtygbAyKAYHfX5fanJNvyu8UvjAdSuDlGVR5AVVeQJUXUOIIKKZf5Q
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.1609/aiide.v12i1.12851
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
EISSN 2334-0924
EndPage 92
ExternalDocumentID 10_1609_aiide_v12i1_12851
GroupedDBID AAYXX
ALMA_UNASSIGNED_HOLDINGS
CITATION
M~E
ID FETCH-LOGICAL-c1551-c3f8c83b90bd6dd60169144a0b0859e15711acefc6819a3c5d83c00d87fa4f8a3
ISSN 2326-909X
IngestDate Sat Nov 29 03:19:45 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Issue 1
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c1551-c3f8c83b90bd6dd60169144a0b0859e15711acefc6819a3c5d83c00d87fa4f8a3
OpenAccessLink https://ojs.aaai.org/index.php/AIIDE/article/download/12851/12698
PageCount 7
ParticipantIDs crossref_primary_10_1609_aiide_v12i1_12851
PublicationCentury 2000
PublicationDate 2021-06-25
PublicationDateYYYYMMDD 2021-06-25
PublicationDate_xml – month: 06
  year: 2021
  text: 2021-06-25
  day: 25
PublicationDecade 2020
PublicationTitle Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
PublicationYear 2021
SSID ssib044756896
Score 1.9458927
Snippet Procedural Content Generation (PCG) has seen heavy focus on the generation of levels for video games, aesthetic content, and on rule creation, but has seen...
SourceID crossref
SourceType Index Database
StartPage 86
Title Mystical Tutor: A Magic: The Gathering Design Assistant via Denoising Sequence-to-Sequence Learning
Volume 12
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2334-0924
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssib044756896
  issn: 2326-909X
  databaseCode: M~E
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1La9wwEBbbpIdeSksa-kiCDj0lKPFrbTk3UxLaw4ZAtpCbkWVpMbTesLs1ySW_sD-qM3p4nWwKzaEXY4tlsHc-RiPpm28I-ayjTGsVVYxXWrBEwAJFyFQyqSAy1rlEvRjTbCK7uODX1_nlaPTb18J0P7K25be3-c1_dTWMgbOxdPYZ7u6NwgDcg9PhCm6H6z85fnK3tPvTU5QnsJXnEwEBridYuKK_GQQbpG-gizCLbFdHXSNgsJ03ZgfhytGs2WrO_L0XZJ0Ns9rLfhZces5BURTfBuWEeCZRLAwvyap7DIRALSMZK6Gl5TE1M-xkcvSAr7A-vMKd9g4rGE1Yq8XP9aY6AHb5uBbA7WhEhnllq59t4IMkL2V5YFrswhzlxuKEBbmtt-4jd7SBUBuGvbq2ebC99jamitQorYoGhTi7MGrCY5iqnfjtA1nuR9NlT2LE5RMYKY2J0pgojYkXZDvKxjkSDCf3Zz66obJiynPb7dB9oDtmBysnGy8ySJQGGc_0DXntliq0sBB7S0aq3SHSw4saeJ3SghpwnVKAFu2hRS20aA8tCtCiPbToU9CiHlrvyPfzs-mXr8w16mASM24mY80lj6s8qOq0ro3CDyzURVChfJ4Kx1kYCqm0TCH_FLEc1zyWQVDzTItEcxHvkq123qr3hMaQQcaVNsp7iRSiUmqspK6SoFaRDrMP5ND_K-WN1WMp_-qIj8_58Sfyag3GPbK1WvxS--Sl7FbNcnFgXPkHw5aKPw
linkProvider ISSN International Centre
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Mystical+Tutor%3A+A+Magic%3A+The+Gathering+Design+Assistant+via+Denoising+Sequence-to-Sequence+Learning&rft.jtitle=Proceedings+of+the+AAAI+Conference+on+Artificial+Intelligence+and+Interactive+Digital+Entertainment&rft.au=Summerville%2C+Adam&rft.au=Mateas%2C+Michael&rft.date=2021-06-25&rft.issn=2326-909X&rft.eissn=2334-0924&rft.volume=12&rft.issue=1&rft.spage=86&rft.epage=92&rft_id=info:doi/10.1609%2Faiide.v12i1.12851&rft.externalDBID=n%2Fa&rft.externalDocID=10_1609_aiide_v12i1_12851
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2326-909X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2326-909X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2326-909X&client=summon