Travelled to:
1 × South Korea
2 × USA
Collaborated with:
M.Mateas Isaac Karth M.J.Nelson Oleksandra Keehl Z.Popovic G.M.Kapfhammer Xiaoxuan Zhang E.Butler Batu Aytemiz Barrett R. Anderson E.Andersen Kenneth Chang J.Geiger M.L.Soffa Chris Lewis 0002 Kenneth Hullet Anne Sullivan Zeping Zhan Misha Holtz Michael Cook 0001 G.Smith Tommy Thompson Julian Togelius A.Zook S.Gulwani K.Tuite N.Snavely D.Hsiao Jesse Harder J.Whitehead Mike Treanor Mirjam Eladhari Mirjam P. Eladhari B.Magerko J.Levine Nicholas Warren Mason Reed Pablo Ortiz Laurel Coney Loren Sherman Elizabeth Carré Nadya Vivatvisha D. Fox Harrell Paola Mardo Andrew Gordon Joris Dormans Barrie D. Robison Spencer Gomez Samantha Heck Landon Wright Terence Soule
Talks about:
game (10) design (5) videogam (4) test (4) base (4) retriev (3) moment (3) framework (2) constrain (2) playtest (2)
Person: Adam M. Smith
DBLP: Smith:Adam_M=
Contributed to:
Wrote 23 papers:
- CHI-2015-ButlerASGP #analysis #automation #design #game studies
- Automatic Game Progression Design through Analysis of Solution Features (EB, EA, AMS, SG, ZP), pp. 2407–2416.
- SAC-2009-SmithK #empirical #reduction #testing
- An empirical study of incorporating cost into test suite reduction and prioritization (AMS, GMK), pp. 461–467.
- ASE-2007-SmithGKS #reduction #testing
- Test suite reduction and prioritization with call trees (AMS, JG, GMK, MLS), pp. 539–540.
- AIIDE-2009-SmithNM #game studies #sketching #testing
- Computational Support for Play Testing Game Sketches (AMS, MJN, MM).
- AIIDE-2009-SmithNM09a #game studies #prototype
- Prototyping Games with BIPED (AMS, MJN, MM).
- CIG-2010-SmithM #design #generative
- Variations Forever: Flexibly generating rulesets from a sculptable design space of mini-games (AMS, MM), pp. 273–280.
- CIG-2010-SmithNM #game studies #logic #modelling #named
- LUDOCORE: A logical game engine for modeling videogames (AMS, MJN, MM), pp. 91–98.
- FDG-2010-TuiteSHSP #3d #game studies
- Reconstructing the world in 3D: bringing games with a purpose outdoors (KT, NS, DYH, AMS, ZP), pp. 232–239.
- FDG-2011-SmithLHS #modelling
- An inclusive view of player modeling (AMS, CL0, KH, AS), pp. 301–303.
- FDG-2012-SmithAMP #automation #case study #design #game studies #tool support
- A case study of expressively constrainable level design automation tools for a puzzle game (AMS, EA, MM, ZP), pp. 156–163.
- FDG-2013-SmithBP #design #game studies
- Quantifying over play: Constraining undesirable solutions in puzzle design (AMS, EB, ZP), pp. 221–228.
- FDG-2015-CookESSTTZ #game studies #question #what
- AI-based Games: Contrabot and What Did You Do? (MC0, ME, AMS, GS, TT, JT, AZ).
- FDG-2015-TreanorZETSCTML #design pattern #game studies
- AI-based Game Design Patterns (MT, AZ, MPE, JT, GS, MC0, TT, BM, JL, AMS).
- AIIDE-2017-TreanorWRSOCSCV #case study #experience
- Playable Experiences at AIIDE 2017 (MT, NW, MR, AMS, PO, LC, LS, EC, NV, DFH, PM, AG, JD, BDR, SG, SH, LW, TS), p. 308–?.
- FDG-2017-KarthS #constraints #theorem proving
- WaveFunctionCollapse is constraint solving in the wild (IK, AMS), p. 10.
- AIIDE-2018-AytemizKHSW #framework #named
- Talin: A Framework for Dynamic Tutorials Based on the Skill Atoms Theory (BA, IK, JH, AMS, JW), pp. 138–144.
- CIG-2018-KeehlS #framework #game studies
- Monster Carlo: An MCTS-based Framework for Machine Playtesting Unity Games (OK, AMS), pp. 1–8.
- FDG-2018-ZhangZHS #crawling #game studies
- Crawling, indexing, and retrieving moments in videogames (XZ, ZZ, MH, AMS), p. 10.
- FDG-2019-AndersonS #comprehension #game studies #retrieval
- Understanding user needs in videogame moment retrieval (BRA, AMS), p. 10.
- FDG-2019-KarthS #learning
- Addressing the fundamental tension of PCGML with discriminative learning (IK, AMS), p. 9.
- FDG-2019-ZhangS #game studies #natural language #query
- Retrieving videogame moments with natural language queries (XZ, AMS), p. 7.
- CoG-2019-ChangAS #assurance #automation #named #quality #testing #using
- Reveal-More: Amplifying Human Effort in Quality Assurance Testing Using Automated Exploration (KC, BA, AMS), pp. 1–8.
- CoG-2019-KeehlS #learning
- Monster Carlo 2: Integrating Learning and Tree Search for Machine Playtesting (OK, AMS), pp. 1–8.