Gubachelier am 12. Juni 2016 um 12:43 Uhr

2016-06-12T12:43:24Z

Gubachelier: Die Seite wurde neu angelegt: „ == Referenz == Liapis, A., Yannakakis, G.N., Togelius, J.: Sentient sketchbook: computer-aided game level authoring. in Proceedings of the 8th Conference o…“

2016-06-12T12:42:35Z

Die Seite wurde neu angelegt: „ == Referenz == Liapis, A., Yannakakis, G.N., Togelius, J.: Sentient sketchbook: computer-aided game level authoring. in Proceedings of the 8th Conference o…“

Neue Seite

== Referenz ==
Liapis, A., Yannakakis, G.N., Togelius, J.: Sentient sketchbook: computer-aided game level authoring. in Proceedings of the 8th Conference on the Foundations of Digital Games, 2013, pp. 213-220 (2013)

== DOI ==

== Abstract ==
This paper introduces the Sentient Sketchbook, a tool which
supports a designer in the creation of game levels. Using
map sketches to alleviate designer e�ort, the tool automates
playability checks and evaluations and visualizes signi�cant
gameplay properties. This paper also introduces constrained
novelty search via a two-population paradigm for generating,
in real-time, alternatives to the author's design and evalu-
ates its potential against current approaches. The paper
concludes with a small-scale user study in which industry ex-
perts interact with the Sentient Sketchbook to design game
levels. Results demonstrate the tool's potential and provide
directions for its improvement.

== Extended Abstract ==

== Bibtex ==
@inproceedings{liapis2013sketchbook,
author = {Antonios Liapis and Georgios N. Yannakakis and Julian Togelius},
title = {Sentient Sketchbook: Computer-Aided Game Level Authoring},
booktitle = {Proceedings of the 8th Conference on the Foundations of Digital Games},
pages={213-220},
year = {2013},
url={http://antoniosliapis.com/papers/sentient_sketchbook.pdf http://de.evo-art.org/index.php?title=Sentient_sketchbook:_computer-aided_game_level_authoring},
}

== Used References ==
[1] D. Ashlock, C. Lee, and C. McGuinness. Search-based
procedural generation of maze-like levels. IEEE
Transactions on Computational Intelligence and AI in
Games, 3(3):260{273, 2011.

[2] C. Browne and F. Maire. Evolutionary game design.
IEEE Transactions on Computational Intelligence and
AI in Games, 2(1):1{16, 2010.

[3] Entertainment Software Association. Essential facts
about the computer and video game industry, 2012.
Retrieved December 12, 2012 from
http://www.theesa.com/facts/pdfs/ESA EF 2012.pdf.

[4] E. J. Hastings, R. K. Guha, and K. O. Stanley.
Evolving content in the galactic arms race video game.
In Proceedings of IEEE Conference on Computational
Intelligence and Games, pages 241{248, 2009.

[5] J. H. Holland. Adaptation in Natural and Artificial
Systems: An Introductory Analysis with Applications
to Biology, Control and Artificial Intelligence. MIT
Press, 1992.

[6] S. O. Kimbrough, G. J. Koehler, M. Lu, and D. H.
Wood. On a feasible-infeasible two-population
(fi-2pop) genetic algorithm for constrained
optimization: Distance tracing and no free lunch.
European Journal of Operational Research,
190(2):310{327, 2008.

[7] J. Lehman and K. O. Stanley. Revising the
evolutionary computation abstraction: Minimal
criteria novelty search. In Proceedings of the Genetic
and Evolutionary Computation Conference, 2010.

[8] J. Lehman and K. O. Stanley. Abandoning objectives:
Evolution through the search for novelty alone.
Evolutionary Computation, 19(2):189{223, 2011.

[9] A. Liapis, G. Yannakakis, and J. Togelius. Limitations
of choice-based interactive evolution for game level
design. In Proceedings of AIIDE Workshop on Human
Computation in Digital Entertainment, 2012.

[10] A. Liapis, G. Yannakakis, and J. Togelius.
Enhancements to constrained novelty search:
Two-population novelty search for generating game
content. In Proceedings of Genetic and Evolutionary
Computation Conference, 2013. In Print.

[11] A. Liapis, G. Yannakakis, and J. Togelius. Generating
map sketches for strategy games. In Proceedings of
Applications of Evolutionary Computation, 2013.

[12] A. Liapis, G. N. Yannakakis, and J. Togelius.
Neuroevolutionary constrained optimization for
content creation. In Proceedings of IEEE Conference
on Computational Intelligence and Games, pages
71{78, 2011.

[13] A. Liapis, G. N. Yannakakis, and J. Togelius.
Adapting models of visual aesthetics for personalized
content creation. IEEE Transactions on
Computational Intelligence and AI in Games,
4(3):213{228, 2012.

[14] T. Lubart. How can computers be partners in the
creative process: classi�cation and commentary on the
special issue. International Journal of
Human-Computer Studies, 63(4-5):365{369, 2005.

[15] Z. Michalewicz. Do not kill unfeasible individuals. In
Proceedings of the Fourth Intelligent Information
Systems Workshop, pages 110{123, 1995.

[16] J. F. Reintjes. Numerical control: making a new
technology. Oxford University Press, Inc., 1991.

[17] M. Schoenauer and Z. Michalewicz. Evolutionary
computation at the edge of feasibility. In Proceedings
of the 4th Parallel Problem Solving from Nature, pages
245{254, 1996.

[18] J. Secretan, N. Beato, D. B. D'Ambrosio,
A. Rodriguez, A. Campbell, J. T. Folsom-Kovarik,
and K. O. Stanley. Picbreeder: A case study in
collaborative evolutionary exploration of design space.
Evolutionary Computation, 19(3):373{403, Sept. 2011.

[19] A. M. Smith and M. Mateas. Answer set programming
for procedural content generation: A design space
approach. IEEE Transactions on Computational
Intelligence and AI in Games, 3(3):187{200, 2011
.
[20] G. Smith, J. Whitehead, and M. Mateas. Tanagra:
Reactive planning and constraint solving for
mixed-initiative level design. IEEE Transactions on
Computational Intelligence and AI in Games, (99),
2011.

[21] N. Sorenson, P. Pasquier, and S. DiPaola. A generic
approach to challenge modeling for the procedural
creation of video game levels. IEEE Transactions on
Computational Intelligence and AI in Games,
3(3):229{244, 2011.

[22] J. Togelius, R. De Nardi, and S. Lucas. Towards
automatic personalised content creation for racing
games. In Proceedings of IEEE Symposium on
Computational Intelligence and Games, pages
252{259. IEEE, 2007.

[23] J. Togelius, G. Yannakakis, K. Stanley, and
C. Browne. Search-based procedural content
generation: A taxonomy and survey. IEEE
Transactions on Computational Intelligence and AI in
Games, (99), 2011.

[24] G. N. Yannakakis. Game AI revisited. In Proceedings
of ACM Computing Frontiers Conference, 2012.

[25] G. N. Yannakakis and J. Togelius. Experience-driven
procedural content generation. IEEE

== Links ==

=== Full Text ===
http://antoniosliapis.com/papers/sentient_sketchbook.pdf

[[internal file]]

=== Sonstige Links ===
http://antoniosliapis.com/publications.php

@@ Zeile 3: / Zeile 3: @@
 == Referenz ==
-Liapis, A., Yannakakis, G.N., Togelius, J.: Sentient sketchbook: computer-aided game level authoring. in Proceedings of the 8th Conference on the Foundations of Digital Games, 2013, pp. 213-220 (2013)
+Liapis, A., Yannakakis, G.N., Togelius, J.: [[Sentient sketchbook: computer-aided game level authoring]]. in Proceedings of the 8th Conference on the Foundations of Digital Games, 2013, pp. 213-220 (2013)
 == DOI ==
@@ Zeile 10: / Zeile 10: @@
 This paper introduces the Sentient Sketchbook, a tool which
 supports a designer in the creation of game levels. Using
-map sketches to alleviate designer e�ort, the tool automates
+map sketches to alleviate designer effort, the tool automates
-playability checks and evaluations and visualizes signi�cant
+playability checks and evaluations and visualizes significant
 gameplay properties. This paper also introduces constrained
 novelty search via a two-population paradigm for generating,

Sentient sketchbook: computer-aided game level authoring - Versionsgeschichte

Gubachelier am 12. Juni 2016 um 12:43 Uhr

Gubachelier: Die Seite wurde neu angelegt: „ == Referenz == Liapis, A., Yannakakis, G.N., Togelius, J.: Sentient sketchbook: computer-aided game level authoring. in Proceedings of the 8th Conference o…“