-
1
-
-
84933071825
-
-
Accessible till May 2014
-
Game vs. Movie Industry. [Online]. Available: http://mygaming.co. za/news/features/42864-game-vs-movie-industry.html (Accessible till May 2014)
-
-
-
Game vs. Movie Industry1
-
2
-
-
0035363385
-
Human-level AI's killer application: Interactive computer games
-
J. E. Laird and M. Van Lent, "Human-level AI's killer application: Interactive computer games", AI Mag., vol. 22, no. 2, pp. 15-25, 2001.
-
(2001)
AI Mag.
, vol.22
, Issue.2
, pp. 15-25
-
-
Laird, J.E.1
Van Lent, M.2
-
3
-
-
4344703418
-
A platform for evolving characters in competative games
-
D. B. Fogel, H. Timothy J, and D. R. Johnson, "A platform for evolving characters in competative games", in Proc. Congress E vol. Comput., 2004, pp. 1420-1426.
-
(2004)
Proc. Congress E Vol. Comput.
, pp. 1420-1426
-
-
Fogel, D.B.1
Timothy, H.J.2
Johnson, D.R.3
-
4
-
-
77954986325
-
Modeling player experience for content creation
-
Mar.
-
C. Pedersen, J. Togelius, and G. N. Yannakakis, "Modeling player experience for content creation", IEEE Trans. Comput. Intell. AI in Games, vol. 2, no. 1, pp. 54-67, Mar. 2010.
-
(2010)
IEEE Trans. Comput. Intell. AI in Games
, vol.2
, Issue.1
, pp. 54-67
-
-
Pedersen, C.1
Togelius, J.2
Yannakakis, G.N.3
-
5
-
-
77955690467
-
A Turing Test for computer game bots
-
Sep.
-
P. Hingston, "A Turing Test for computer game bots", IEEE Trans. Comput. Intell. AI in Games, vol. 1, no. 3, pp. 169-186, Sep. 2009.
-
(2009)
IEEE Trans. Comput. Intell. AI in Games
, vol.1
, Issue.3
, pp. 169-186
-
-
Hingston, P.1
-
6
-
-
74949124943
-
Creating human-like autonomous players in real-time first person shooter computer games
-
D. Wang, B. Subagdja, and A.-H. Tan, "Creating human-like autonomous players in real-time first person shooter computer games", in Proc. Conf. Innovative Appl. Artif. Intell., 2009, pp. 173-178.
-
(2009)
Proc. Conf. Innovative Appl. Artif. Intell.
, pp. 173-178
-
-
Wang, D.1
Subagdja, B.2
Tan, A.-H.3
-
7
-
-
71549124473
-
Real-time game adaptation for optimizing player satisfaction
-
Jun.
-
G. N. Yannakakis and J. Hallam, "Real-time game adaptation for optimizing player satisfaction", IEEE Trans. Comput. Intell. AI in Games, vol. 1, no. 2, pp. 121-133, Jun. 2009.
-
(2009)
IEEE Trans. Comput. Intell. AI in Games
, vol.1
, Issue.2
, pp. 121-133
-
-
Yannakakis, G.N.1
Hallam, J.2
-
8
-
-
77955669828
-
RL-DOT: A reinforcement learning NPC team for playing domination games
-
Mar.
-
H. Wang, Y. Gao, and X. Chen, "RL-DOT: A reinforcement learning NPC team for playing domination games", IEEE Trans. Comput. Intell. AI in Games, vol. 2, no. 1, pp. 17-26, Mar. 2010.
-
(2010)
IEEE Trans. Comput. Intell. AI in Games
, vol.2
, Issue.1
, pp. 17-26
-
-
Wang, H.1
Gao, Y.2
Chen, X.3
-
9
-
-
10944258804
-
FALCON: A fusion architecture for learning, cognition, and navigation
-
A.-H. Tan, "FALCON: A fusion architecture for learning, cognition, and navigation", in Proc. Int. Joint Conf. Neural Netw., 2004, pp. 3297-3302.
-
(2004)
Proc. Int. Joint Conf. Neural Netw.
, pp. 3297-3302
-
-
Tan, A.-H.1
-
10
-
-
0002954208
-
Adaptive resonance theory
-
Cambridge, MA, USA: MIT Press
-
G. A. Carpenter and S. Grossberg, "Adaptive resonance theory", in The Handbook of Brain Theory and neural Networks. Cambridge, MA, USA: MIT Press, 2003, pp. 87-90.
-
(2003)
The Handbook of Brain Theory and Neural Networks
, pp. 87-90
-
-
Carpenter, G.A.1
Grossberg, S.2
-
11
-
-
72449184029
-
Pogamut 3 can assist developers in building AI (not only) for their videogame agents
-
J. Gemrot, R. Kadlec, M. Bída, O. Burkert, R. Pibil, J. Havlicek, L. Zemcak, J. Simlovic, R. Vansa, and M. Stolba et al., "Pogamut 3 can assist developers in building AI (not only) for their videogame agents", Agents for Games Simul., pp. 1-15, 2009.
-
(2009)
Agents for Games Simul.
, pp. 1-15
-
-
Gemrot, J.1
Kadlec, R.2
Bída, M.3
Burkert, O.4
Pibil, R.5
Havlicek, J.6
Zemcak, L.7
Simlovic, J.8
Vansa, R.9
Stolba, M.10
-
12
-
-
79959241865
-
Adaptivity challenges in games and simulations: A survey
-
Jun.
-
R. Lopes and R. Bidarra, "Adaptivity challenges in games and simulations: A survey", IEEE Trans. Comput. Intell. AI in Games, vol. 3, no. 2, pp. 1-14, Jun. 2011.
-
(2011)
IEEE Trans. Comput. Intell. AI in Games
, vol.3
, Issue.2
, pp. 1-14
-
-
Lopes, R.1
Bidarra, R.2
-
13
-
-
26944432123
-
Improving adaptive game AI with evolutionary learning
-
M. Ponsen and P. Spronck, "Improving adaptive game AI with evolutionary learning", Mach. Learn., pp. 389-396, 2004.
-
(2004)
Mach. Learn.
, pp. 389-396
-
-
Ponsen, M.1
Spronck, P.2
-
14
-
-
33744791741
-
Adaptive game AI with dynamic scripting
-
P. Spronck, M. Ponsen, I. Sprinkhuizen-Kuyper, and E. Postma, "Adaptive game AI with dynamic scripting", Mach. Learn., vol. 63, pp. 217-248, 2006.
-
(2006)
Mach. Learn.
, vol.63
, pp. 217-248
-
-
Spronck, P.1
Ponsen, M.2
Sprinkhuizen-Kuyper, I.3
Postma, E.4
-
15
-
-
35348891672
-
Graph-based analysis of human transfer learing using a game testbed
-
Nov.
-
D. J. Cook, L. B. Holder, and G. M. Youngblood, "Graph-based analysis of human transfer learing using a game testbed", IEEE Trans. Knowledge Data Eng., vol. 19, no. 11, pp. 1465-1478, Nov. 2007.
-
(2007)
IEEE Trans. Knowledge Data Eng.
, vol.19
, Issue.11
, pp. 1465-1478
-
-
Cook, D.J.1
Holder, L.B.2
Youngblood, G.M.3
-
16
-
-
4344664971
-
Using a genetic algorithm to tune first-person shooter bots
-
N. Cole, S. J. Louis, and C. Miles, "Using a genetic algorithm to tune first-person shooter bots", in Proc. Int. Congress E vol. Comput., 2004, pp. 139-145.
-
(2004)
Proc. Int. Congress E Vol. Comput.
, pp. 139-145
-
-
Cole, N.1
Louis, S.J.2
Miles, C.3
-
17
-
-
29244458175
-
Playing to learn: Case-injected genetic algorithms for learning to play computer games
-
Dec.
-
S. J. Louis and C. Miles, "Playing to learn: Case-injected genetic algorithms for learning to play computer games", IEEE Trans. E vol. Comput., vol. 9, no. 6, pp. 669-681, Dec. 2005.
-
(2005)
IEEE Trans. E Vol. Comput.
, vol.9
, Issue.6
, pp. 669-681
-
-
Louis, S.J.1
Miles, C.2
-
18
-
-
29244482280
-
Real-time neuroevolution in the nero video game
-
Dec.
-
K. O. Stanley, B. D. Bryant, and R. Miikkulainen, "Real-time neuroevolution in the nero video game", IEEE Trans. E vol. Comput., vol. 9, no. 6, pp. 653-668, Dec. 2005.
-
(2005)
IEEE Trans. E Vol. Comput.
, vol.9
, Issue.6
, pp. 653-668
-
-
Stanley, K.O.1
Bryant, B.D.2
Miikkulainen, R.3
-
19
-
-
45149129587
-
Towards the co-evolution of influence map tree based strategy game players
-
C. Miles and S. J. Louis, "Towards the co-evolution of influence map tree based strategy game players", in Proc. IEEE Symp. Comput. Intell. Games, 2006, pp. 75-82.
-
(2006)
Proc. IEEE Symp. Comput. Intell. Games
, pp. 75-82
-
-
Miles, C.1
Louis, S.J.2
-
20
-
-
2942607958
-
Teaching Bayesian behaviours to video game characters
-
R. L. Hy, A. Arrigoni, P. Bessiere, and O. Lebetel, "Teaching Bayesian behaviours to video game characters", Robot. Autonom. Syst., vol. 47, pp. 177-185, 2004.
-
(2004)
Robot. Autonom. Syst.
, vol.47
, pp. 177-185
-
-
Hy, R.L.1
Arrigoni, A.2
Bessiere, P.3
Lebetel, O.4
-
21
-
-
74949128830
-
UTBot: A virtual agent platform for teaching agent system design
-
I. C. Kim, "UTBot: A virtual agent platform for teaching agent system design", J. Multimedia, vol. 2, no. 1, pp. 48-53, 2007.
-
(2007)
J. Multimedia
, vol.2
, Issue.1
, pp. 48-53
-
-
Kim, I.C.1
-
22
-
-
36348963576
-
RETALIATE: Learning winning policies in first-person shooter games
-
M. Smith, S. Lee-Urban, and H. Munoz-Avila, "RETALIATE: Learning winning policies in first-person shooter games", in Proc. Nat. Conf. Innovative Appll. Artif. Intell., 2007, pp. 1801-1806.
-
(2007)
Proc. Nat. Conf. Innovative Appll. Artif. Intell.
, pp. 1801-1806
-
-
Smith, M.1
Lee-Urban, S.2
Munoz-Avila, H.3
-
23
-
-
80054048139
-
UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces
-
J. Schrum, I. V. Karpov, and R. Miikkulainen, "UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces", in Proc. IEEE Conf. Comput. Intell. Games, 2011, pp. 329-336.
-
(2011)
Proc. IEEE Conf. Comput. Intell. Games
, pp. 329-336
-
-
Schrum, J.1
Karpov, I.V.2
Miikkulainen, R.3
-
25
-
-
84880738494
-
A neurally controlled computer game avatar with humanlike behavior
-
Mar.
-
D. Gamez, Z. Fountas, and A. K. Fidjeland, "A neurally controlled computer game avatar with humanlike behavior", IEEE Trans. Comput. Intell. AI in Games, vol. 5, no. 1, pp. 1-14, Mar. 2013.
-
(2013)
IEEE Trans. Comput. Intell. AI in Games
, vol.5
, Issue.1
, pp. 1-14
-
-
Gamez, D.1
Fountas, Z.2
Fidjeland, A.K.3
-
26
-
-
0012530714
-
Gamebots: The ever-challenging multi-agent research test-bed
-
G. Kaminka, M. Veloso, S. Schaffer, C. Sollitto, R. Adobbati, A. Marshall, A. Scholer, and S. Tejada, "Gamebots: The ever-challenging multi-agent research test-bed", Commun. ACM, vol. 45, no. 1, pp. 43-45, 2002.
-
(2002)
Commun. ACM
, vol.45
, Issue.1
, pp. 43-45
-
-
Kaminka, G.1
Veloso, M.2
Schaffer, S.3
Sollitto, C.4
Adobbati, R.5
Marshall, A.6
Scholer, A.7
Tejada, S.8
-
27
-
-
56749172434
-
A self-organizing neural model for multimedia information fusion
-
L. D. Nguyen, K.-Y. Woon, and A.-H. Tan, "A self-organizing neural model for multimedia information fusion", in Proc. Conf. Inf. Fusion, 2008, pp. 1738-1744.
-
(2008)
Proc. Conf. Inf. Fusion
, pp. 1738-1744
-
-
Nguyen, L.D.1
Woon, K.-Y.2
Tan, A.-H.3
-
28
-
-
84899860002
-
A self-organizing neural network architecture for intentional planning agents
-
B. Subagdja and A.-H. Tan, "A self-organizing neural network architecture for intentional planning agents", in Proc. Int. Conf. Autonom. Agents Multiagent Syst., 2009, pp. 1081-1088.
-
(2009)
Proc. Int. Conf. Autonom. Agents Multiagent Syst.
, pp. 1081-1088
-
-
Subagdja, B.1
Tan, A.-H.2
-
29
-
-
53849121277
-
Modelling situation awareness for context-aware decision support
-
Y. Feng, T.-H. Teng, and A.-H. Tan, "Modelling situation awareness for context-aware decision support", Expert Syst. Appl., vol. 36, no. 1, pp. 455-463, 2009.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.1
, pp. 455-463
-
-
Feng, Y.1
Teng, T.-H.2
Tan, A.-H.3
-
30
-
-
78649858712
-
A biologically-inspired cognitive agent model integrating declarative knowledge and reinforcement learning
-
Agent Technol.
-
A.-H. Tan and G.-W. Ng, "A biologically-inspired cognitive agent model integrating declarative knowledge and reinforcement learning", in Proc. Int. Conf. Web Intell. Intell. Agent Technol., 2010, pp. 248-251.
-
(2010)
Proc. Int. Conf. Web Intell. Intell
, pp. 248-251
-
-
Tan, A.-H.1
Ng, G.-W.2
-
31
-
-
0026408256
-
Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
-
G. A. Carpenter, S. Grossberg, and D. B. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system", Neural Netw., vol. 4, pp. 759-771, 1991.
-
(1991)
Neural Netw.
, vol.4
, pp. 759-771
-
-
Carpenter, G.A.1
Grossberg, S.2
Rosen, D.B.3
-
32
-
-
56349167885
-
Direct code access in self-organizing neural networks for reinforcement learning
-
A.-H. Tan, "Direct code access in self-organizing neural networks for reinforcement learning", in Proc. Int. Joint Conf. Artif. Intell., 2007, pp. 1071-1076.
-
(2007)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1071-1076
-
-
Tan, A.-H.1
-
33
-
-
84973857317
-
ART 2: Self-organization of stable category recognition codes for analog input patterns
-
G. A. Carpenter and S. Grossberg, "ART 2: Self-organization of stable category recognition codes for analog input patterns", Appl. Opt., vol. 26, no. 23, pp. 4919-4930, 1987.
-
(1987)
Appl. Opt.
, vol.26
, Issue.23
, pp. 4919-4930
-
-
Carpenter, G.A.1
Grossberg, S.2
-
34
-
-
0025786440
-
ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition
-
G. A. Carpenter, S. Grossberg, and D. Rosen, "ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition", Neural Netw., vol. 4, no. 4, pp. 493-504, 1991.
-
(1991)
Neural Netw.
, vol.4
, Issue.4
, pp. 493-504
-
-
Carpenter, G.A.1
Grossberg, S.2
Rosen, D.3
-
35
-
-
33846312864
-
Self-organizing cognitive agents and reinforcement learning in multi-agent environment
-
A.-H. Tan and D. Xiao, "Self-organizing cognitive agents and reinforcement learning in multi-agent environment", in Proc. Int. Conf. Intell. Agent Technol., 2005, pp. 351-357.
-
(2005)
Proc. Int. Conf. Intell. Agent Technol.
, pp. 351-357
-
-
Tan, A.-H.1
Xiao, D.2
-
36
-
-
0015658957
-
The optimal control of partially observable markov processes over a finite horizon
-
R. D. Smallwood and E. J. Sondik, "The optimal control of partially observable markov processes over a finite horizon", Operations Res., vol. 21, no. 5, pp. 1071-1088, 1973.
-
(1973)
Operations Res.
, vol.21
, Issue.5
, pp. 1071-1088
-
-
Smallwood, R.D.1
Sondik, E.J.2
-
37
-
-
40549121994
-
Integrating temporal difference methods and self-organizing neural networks for reinforcement learning with delayed evaluative feedback
-
Feb.
-
A.-H. Tan, N. Lu, and D. Xiao, "Integrating temporal difference methods and self-organizing neural networks for reinforcement learning with delayed evaluative feedback", IEEE Trans. Neural Netw., vol. 19, no. 2, pp. 230-244, Feb. 2008.
-
(2008)
IEEE Trans. Neural Netw.
, vol.19
, Issue.2
, pp. 230-244
-
-
Tan, A.-H.1
Lu, N.2
Xiao, D.3
-
38
-
-
70449890190
-
Agent Smith: Towards an evolutionary rule-based agent for interactive dynamic games
-
R. Small and C. B. Congdon, "Agent Smith: Towards an evolutionary rule-based agent for interactive dynamic games", in Proc. IEEE Congress E vol. Comput., 2009, pp. 660-666.
-
(2009)
Proc. IEEE Congress E Vol. Comput.
, pp. 660-666
-
-
Small, R.1
Congdon, C.B.2
-
39
-
-
79959430523
-
Self-organizing neural networks for behavior modeling in games
-
S. Feng and A.-H. Tan, "Self-organizing neural networks for behavior modeling in games", in Proc. Int. Joint Conf. Neural Netw., 2010, pp. 3649-3656.
-
(2010)
Proc. Int. Joint Conf. Neural Netw.
, pp. 3649-3656
-
-
Feng, S.1
Tan, A.-H.2
-
40
-
-
79956344541
-
Decision tree-based algorithms for implementing bot AI in UT2004
-
Berlin, Germany: Springer-Verlag
-
A. J. F. Leiva and J. L. O. Barragan, "Decision tree-based algorithms for implementing bot AI in UT2004", in Foundations on Natural and Artificial Computation, Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 2011, vol. 6686, pp. 383-392.
-
(2011)
Foundations on Natural and Artificial Computation, Lecture Notes in Computer Science
, vol.6686
, pp. 383-392
-
-
Leiva, A.J.F.1
Barragan, J.L.O.2
-
41
-
-
84971185409
-
The correlation between relatives on the supposition of mendelian inheritance
-
R. A. Fisher, "The correlation between relatives on the supposition of mendelian inheritance", Philosoph. Trans. Roy. Soc. Edinburgh, vol. 52, pp. 399-433, 1918.
-
(1918)
Philosoph. Trans. Roy. Soc. Edinburgh
, vol.52
, pp. 399-433
-
-
Fisher, R.A.1
-
43
-
-
0036568025
-
Finite-time analysis of the multiarmed bandit problem
-
P. Auer, N. Cesa-Bianchi, and P. Fischer, "Finite-time analysis of the multiarmed bandit problem", Mach. Learn., vol. 47, no. 2-3, pp. 235-256, 2002.
-
(2002)
Mach. Learn.
, vol.47
, Issue.2-3
, pp. 235-256
-
-
Auer, P.1
Cesa-Bianchi, N.2
Fischer, P.3
-
44
-
-
84881465140
-
Self-regulating action exploration in reinforcement learning
-
T.-H. Teng, A.-H. Tan, and Y.-S. Tan, "Self-regulating action exploration in reinforcement learning", Proc. Comput. Sci., vol. 13, pp. 18-30, 2012.
-
(2012)
Proc. Comput. Sci.
, vol.13
, pp. 18-30
-
-
Teng, T.-H.1
Tan, A.-H.2
Tan, Y.-S.3
|