51![C:/Users/Tom/workspace/Cig-go-follow-up/old/article/cig-go.dvi C:/Users/Tom/workspace/Cig-go-follow-up/old/article/cig-go.dvi](https://www.pdfsearch.io/img/cd0ad89b4c44913b530737575abe4266.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:41
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52![Intelligent Moving of Groups in Real-Time Strategy Games Holger Danielsiek, Raphael St¨uer, Andreas Thom, Nicola Beume, Boris Naujoks, Mike Preuss of a group because every unit shows a unique behavior while the group st Intelligent Moving of Groups in Real-Time Strategy Games Holger Danielsiek, Raphael St¨uer, Andreas Thom, Nicola Beume, Boris Naujoks, Mike Preuss of a group because every unit shows a unique behavior while the group st](https://www.pdfsearch.io/img/ceaa611890210980c4be9f3c5309f141.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:42
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53![An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models](https://www.pdfsearch.io/img/8624866459f0cb3045630377f3c07b07.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:42
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54![Microsoft Word - Cig Paper New- With Changes 2.doc Microsoft Word - Cig Paper New- With Changes 2.doc](https://www.pdfsearch.io/img/6c5dbfa80d79aa965ffeee6a52122b9d.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English |
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55![Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations Kazutomo SHIBAHARA Abstract— Monte-Carlo method recently has produced good results in Go. Monte-Carlo Go uses a move which ha Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations Kazutomo SHIBAHARA Abstract— Monte-Carlo method recently has produced good results in Go. Monte-Carlo Go uses a move which ha](https://www.pdfsearch.io/img/27cbc705900b2e9fd709683fed09c7a6.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:33
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56![Learning Position Evaluation for Go with Internal Symmetry Networks Alan Blair, Member, IEEE Abstract— We develop a cellular neural network architecture consisting of a large number of identical neural networks Learning Position Evaluation for Go with Internal Symmetry Networks Alan Blair, Member, IEEE Abstract— We develop a cellular neural network architecture consisting of a large number of identical neural networks](https://www.pdfsearch.io/img/7218f891096b895b25f3fa4970aeb308.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:39
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57![Intrinsic classification by MML - the Snob program Christopher S. Wallace and David L. Dowe, Department of Computer Science, Monash University, Clayton, Victoria 3168, Australia e-mail: {csw,dld}@cs.monash.edu.au Abstrac Intrinsic classification by MML - the Snob program Christopher S. Wallace and David L. Dowe, Department of Computer Science, Monash University, Clayton, Victoria 3168, Australia e-mail: {csw,dld}@cs.monash.edu.au Abstrac](https://www.pdfsearch.io/img/ff36bec012c1145ba595fc8f6b1495a9.jpg) | Add to Reading ListSource URL: www.csse.monash.edu.auLanguage: English - Date: 2005-11-07 07:04:37
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58![Real-time challenge balance in an RTS game using rtNEAT Jacob Kaae Olesen, Georgios N. Yannakakis, Member, IEEE, and John Hallam that NEAT is capable of matching the challenge of the AI agent to the skill of a hard-coded Real-time challenge balance in an RTS game using rtNEAT Jacob Kaae Olesen, Georgios N. Yannakakis, Member, IEEE, and John Hallam that NEAT is capable of matching the challenge of the AI agent to the skill of a hard-coded](https://www.pdfsearch.io/img/00c51b4772f4629f02982ad97104930a.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:34
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59![A Fuzzy Approach For The 2007 CIG Simulated Car Racing Competition Duc Thang Ho and Jonathan M. Garibaldi Abstract— This paper describes the techniques that have been used by the winning entry of the 2007 IEEE Congress A Fuzzy Approach For The 2007 CIG Simulated Car Racing Competition Duc Thang Ho and Jonathan M. Garibaldi Abstract— This paper describes the techniques that have been used by the winning entry of the 2007 IEEE Congress](https://www.pdfsearch.io/img/ce46616581c5df298e886611fecede64.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:38
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60![Social Learning Methods in Board Game Agents Vukosi N. Marivate, Student Member, Tshilidzi Marwala, Senior Member, IEEE this has on the overall performance of the different agents created. This paper focuses on improving Social Learning Methods in Board Game Agents Vukosi N. Marivate, Student Member, Tshilidzi Marwala, Senior Member, IEEE this has on the overall performance of the different agents created. This paper focuses on improving](https://www.pdfsearch.io/img/293289e00894ff64cd41a46c9b4f848c.jpg) | Add to Reading ListSource URL: www.csse.uwa.edu.auLanguage: English - Date: 2009-02-05 01:17:38
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