JVRSJ Vol.18 No.3 September, NPC RTS Real-time Simulation NPC NPC NPC AI NPC 4 AI 2 AI 図 1 ゲームとユーザエクスペリエンス reality a
|
|
- ゆめじ かいて
- 7 years ago
- Views:
Transcription
1 日 本 バーチャルリアリティ 学 会 誌 第 18 巻 3 号 2013 年 9 月 1 [1] 1 [2-5] NPC Non-Player-Character NPC 2000 NPC 2 AI AI AI [6-8] RPG AI NPC AI AI RPG AI [5][9][10] 3 AI 2 AI 1 [11] 28
2 JVRSJ Vol.18 No.3 September, NPC RTS Real-time Simulation NPC NPC NPC AI NPC 4 AI 2 AI 図 1 ゲームとユーザエクスペリエンス reality a sense of immersion 2 NPC 3 10 AI AI [3-5][12][13] 2000 AI AI FPS First Person Shooter NPC NPC 29
3 日 本 バーチャルリアリティ 学 会 誌 第 18 巻 3 号 2013 年 9 月 4 AI NPC AI AI [14] AI 図 2 エージェント アーキテクチャ 5 AI AI 2 AI [15-20] AI [21-23] AI AI AI AI 2 2 AI 6 AI AI AI 3 AI AI / / / AI [24][25] World Representation [25] Affordance Representation [22] Object Representation 3 KR, Knowledge Representation AI 30
4 JVRSJ Vol.18 No.3 September, Information flow [3][4] 2 [21] 2 図 3 ナビゲーション メッシュとオブジェクト 表 現 7 AI [3-5][7][14][15] MIT C4 00 FPS AI [26-28] [28] Subsumption Architecture [29] AI 2 sensory integration (motion synthesis) AI 8 AI AI NPC NPC AI [1] AI AI AI team AI NPC AI NPC 31
5 日 本 バーチャルリアリティ 学 会 誌 第 18 巻 3 号 2013 年 9 月 図 4 3 種 類 の AI とプロシージャル 技 術 4 AI NPC NPC NPC AI AI NPC [4][14][30] AI AI (meta-ai) [4][5][7][30] AI AI AI NPC NPC AI AI AI AI AI 9 Procedural Technology [2] 4 [30][31] AI 4 AI [7] 10 AI AI AI [3][4][32] 10 AI AI 32
6 JVRSJ Vol.18 No.3 September, [1] J [2] AI 19 3 pp [3] 23 1 pp [4] AI 23 pp [5] AI 5 pp [6] 2009 [7] 2012 pp [8] 2006 [9] 2005 [10] AI 6 pp [11] 2007 [12] No pp [13] AI WEB+DB PRESS Vol.68 pp [14] AI [15] S.J.Russell P.Norvig [16] Jeff Orkin Constraining Autonomous Character Behavior with Human Concepts, AI Game Programming Wisdom 2, 3.1, pp , Charles River Media 2003 [17] Jeff Orkin Applying Goal-Oriented Action Planning to Games, AI Game Programming Wisdom 2, 3.4, pp Charles River Media 2003 [18] Jeff Orkin Symbolic Representation of Game World State: Toward Real-Time Planning in Games. Proceedings of the AAAI Workshop on Challenges in Game AI 2004 [19] Jeff Orkin Agent Architecture Considerations for Real- Time Planning in Games. Proceedings of AIIDE [20] Jeff Orkin Three States and a Plan: The AI of F.E.A.R. Proceedings of the Game Developers Conference [21] J. G [22] J.J [23] 2000 [24] Mat Buckland AI 2007 [25] R.Straatman A.Beij W.D.Sterren Dynamic Tactical Position Evaluation AI Game Programming Wisdom pp Charles River Media 2006 [26] D. Isla, R. Burke, M. Downie, B. Blumberg A Layered Brain Architecture for Synthetic Creatures, IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence Vol.2 pp [27] R.Burke, D.Isla, M. Downie, Y.Ivanov, B.Blumberg: CreatureSmarts: The Art and Architecture of a Virtual Brain Game Developers Conference [28] D. Isla, B. Blumberg Blackboard Architecture AI Game Programming Wisdom Vol pp Charles River Media 2002 [29] 2006 [30] : Vol.22 No.6 pp [31] 22 pp [32] Mat Buckland AI Techniques for Game Programming Cengage Learning PTR 2002 MIYAKE Youichiro AI C++ C++ API 33
Microsoft PowerPoint - YMiyake_Shosen_2010_5_15.ppt
デジタルゲームの教科書 発売記念著者トークイベント 2010.5.15 ( 土 ) 三宅陽一郎 y.m.4160@gmail.com Twitter: miyayou http://www.s-dogs.jp/dgame/index.html 株式会社グルーブシンク 松井 悠 y_matsui@groovesync.com Contact Information Youichiro Miyake Mail:
More informationAI 21 AI 2017 [1] AI 100 AI Vol. 30, No. 1, pp [2] Vol. 32, No. 2 AI AI Vol. 32 No [3] Cygames Engineers Blog AI [
32 4 2017 7 609 ディジタルゲームの人工知能 1 2017 Web Web 1 2 AI 3 AI 4 AI 5 AI 6 AI 7 AI 8 AI 9 10 11 AI 12 13 AI 14 In Game Cinematics AI 15 AI 16 AI 17 18 AI 19 AI 20 AI 1 1 http://www.ai-gakkai.or.jp/my-bookmark_vol32-no4
More information2015 3
JAIST Reposi https://dspace.j Title ターン制ストラテジーゲームにおける候補手の抽象化 によるゲーム木探索の効率化 Author(s) 村山, 公志朗 Citation Issue Date 2015-03 Type Thesis or Dissertation Text version author URL http://hdl.handle.net/10119/12652
More information2011 : M Schell Interest curve Schell Chan FPS Schell Interest curve Chan FPS Chan Chan Chan Chan
2011 M0106515 2011 : M0106515 Schell Interest curve Schell Chan FPS Schell Interest curve Chan FPS Chan Chan Chan Chan 1 1 1.1............................. 1 1.2................................. 4 2 5
More information9 2008 September VOL.160
Vol.160 9 2008 September VOL.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160 Vol.160
More informationGDC GDC ( 2005 PlayStation3, Xbox360, Wii ) AI Killzone 2 (Guerrilla Games, 2009) [1] The Sims 3 (EA, Maxis,2009) [2] AI AI AI AI [3] AI AI A
GDC GDC2010 2010 ( 2005 PlayStation3, Xbox360, Wii ) AI Killzone 2 (Guerrilla Games, 2009) [1] The Sims 3 (EA, Maxis,2009) [2] AI AI AI AI [3] AI AI Alex J. Champandard, "On the AI Strategy for KILLZONE
More information_314I01BM浅谷2.indd
587 ネットワークの表現学習 1 1 1 1 Deep Learning [1] Google [2] Deep Learning [3] [4] 2014 Deepwalk [5] 1 2 [6] [7] [8] 1 2 1 word2vec[9] word2vec 1 http://www.ai-gakkai.or.jp/my-bookmark_vol31-no4 588 31 4 2016
More information¥²¡¼¥àAI¤Ë¤ª¤±¤ë»º³ØÏ¢·ÈÀïά¤Î10ǯ
AI 10 s-yamane@computer.org (HiRC) S. Yamane (Aoyama Gakuin Univ.) CEDEC AI/Academic 9 1 17:50 1 / 74 [2] AI AI? S. Yamane (Aoyama Gakuin Univ.) CEDEC AI/Academic 9 1 17:50 2 / 74 AI S. Yamane (Aoyama
More information27 28 2 15 14350922 1 4 1.1.................................... 4 1.2........................... 5 1.3......................... 6 1.4...................................... 7 2 9 2.1..........................
More information研究報告用MS-Wordテンプレートファイル
次世代デジタルゲームにおける人工知能の研究課題について 三宅陽一郎 y.m.4160@gmail.com デジタルゲームにおける人工知能技術は この 10 年でゲームメカニクスやキャラクター制御と言った要素から独立し 明確に一つの分野として独立した. 同時に ゲーム製作の中で引き受けることになった諸問題は大きく深い. デジタルゲームにおける人工知能は そういった問題に対して 従来の人工知能技術のみならず
More informationThe 18th Game Programming Workshop ,a) 1,b) 1,c) 2,d) 1,e) 1,f) Adapting One-Player Mahjong Players to Four-Player Mahjong
1 4 1,a) 1,b) 1,c) 2,d) 1,e) 1,f) 4 1 1 4 1 4 4 1 4 Adapting One-Player Mahjong Players to Four-Player Mahjong by Recognizing Folding Situations Naoki Mizukami 1,a) Ryotaro Nakahari 1,b) Akira Ura 1,c)
More informationAI
JAIST Reposi https://dspace.j Title プレイヤの意図や価値観を学習し行動選択するチーム プレイ AI の構成 Author(s) 吉谷, 慧 Citation Issue Date 2013-03 Type Thesis or Dissertation Text version author URL http://hdl.handle.net/10119/11300
More information194 6 日本バーチャルリアリティ学会誌第 17 巻 4 号 2012 年 12 月 VR Virtual Reality VR 3D 3D VR 3D 30 3D 3D VR 3D 19 3D D D D D 3D VR 2
194 6 日本バーチャルリアリティ学会誌第 17 巻 4 号 2012 年 12 月 VR Virtual Reality VR 3D 3D VR 3D 30 3D 3D VR 3D 19 3D 1920 3D 1950 3D 1980 2 3D 2010 3 3D 3D 10 1960 VR 2 3D 10 1990 VR 3D 10 VR 2 VR 2020 3D 3D 1838 Binocular
More information249 Fig PONG Fig. 3 CRT 1962 * 7 Spacewar CRT 1972 * 8 PONG Fig D ビデオゲーム の描画 2.1 走査方式 CRT ベクタースキャン Fig. 3 * 7 Steve Rus
248 2014 77 3 248 256 解説 Imaging Technologies Used for Games * Masanobu Endoh * 要旨 19 1960 CRT 1970 CG Abstract Coin operated electrical amusement machine was born at the end of the 19th century. Then,
More information00 10 GDC2010 twitter: miyayou
1 GDC21 y.m.416@gmail.com twitter: miyayou 1 GDC21 y.m.416@gmail.com twitter: miyayou GDC 21 AWARD Expo Case Studies: AI in Recent Games miyayou@gdc21 3/9 3/1 3/11 3/12 3/13 Suspending Disbelief: Bringing
More information24312.dvi
Cognitive Studies, 24(3), 410-434. (Sep. 2017) The Table-talk Role Playing Game (TRPG) is an analog game. This game progresses by repeating acts of speech between a Game Master (GM) and a Player (PL).
More information独立行政法人情報通信研究機構 Development of the Information Analysis System WISDOM KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the infor
独立行政法人情報通信研究機構 KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the information analysis system WISDOM as a research result of the second medium-term plan. WISDOM has functions that
More informationIS1-09 第 回画像センシングシンポジウム, 横浜,14 年 6 月 2 Hough Forest Hough Forest[6] Random Forest( [5]) Random Forest Hough Forest Hough Forest 2.1 Hough Forest 1 2.2
IS1-09 第 回画像センシングシンポジウム, 横浜,14 年 6 月 MI-Hough Forest () E-mail: ym@vision.cs.chubu.ac.jphf@cs.chubu.ac.jp Abstract Hough Forest Random Forest MI-Hough Forest Multiple Instance Learning Bag Hough Forest
More information橡上野先生訂正2
(SIS) NII) 101-8430 tel 03-4212-2516 E-mail ueno@nii.ac.jp 1 NII 2 (symbiosis) 2 (parasitism) 2 Knowledge Creation The Symbiotic partnership of University, Government and Industry, Proc. Information Environment
More informationVol. 52 No (Dec. 2011) Ms. Pac-Man IEEE CIG Ms. Pac-Man Ms. Pac-Man AI AI Ms. Pac-Man Ms. Pac-Man Competition Ms. Pac-Man Monte
Vol. 52 No. 12 3817 3827 (Dec. 2011) Ms. Pac-Man 1 2 2007 IEEE CIG Ms. Pac-Man Ms. Pac-Man AI AI Ms. Pac-Man Ms. Pac-Man Competition Ms. Pac-Man Monte-Carlo Tree Search in Ms. Pac-Man Nozomu Ikehata 1
More informationP24-25.eps
Contents 1 24 26 32 44 23 24 25 2-1 1 2 3 1: 2: 3: 26 27 28 29 Action A Thinking T Team Work W A Action W T Thinking Team Work 30 31 3-1 3-2 32 33 b. c. 1 d. e. 1 a. 2 2 34 35 3 4 36 37 38 39 3-3 3-4 1
More information& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
More informationQ [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]
1,a) 2,3,b) Q ϵ- 3 4 Q greedy 3 ϵ- 4 ϵ- Comparation of Methods for Choosing Actions in Werewolf Game Agents Tianhe Wang 1,a) Tomoyuki Kaneko 2,3,b) Abstract: Werewolf, also known as Mafia, is a kind of
More information理工ジャーナル 23‐1☆/1.外村
Yoshinobu TONOMURA Professor, Department of Media Informatics 1 10 YouTube 2 1900 100 1 3 2 3 3 3 1 2 3 4 90 1 90 MIT Project Athena 1983 1991 2 3 4 5 6 7 8 9 10 2 90 11 12 7 13 14 15 16 17 18 19 390 5
More informationIPSJ SIG Technical Report Vol.2016-GI-35 No /3/9 StarCraft AI Deep Q-Network StarCraft: BroodWar Blizzard Entertainment AI Competition AI Convo
StarCraft AI Deep Q-Network StarCraft: BroodWar Blizzard Entertainment AI Competition AI Convolutional Neural Network(CNN) Q Deep Q-Network(DQN) CNN DQN,,, 1. StarCraft: Brood War *1 Blizzard Entertainment
More information1 Foundations of Artificial Intelligence (Overview) artificial intelligence; AI Logic Theorist 1956 Dartmouth Conference Turing test image recognition
2017 4 18 PDF aidic PDF aidic 1 15 15-1 0-a http://www.gravel.co.jp/pdfs/aidic_itemlist.htm aidic TeX PDF aidic@gravel.co.jp 1 Foundations of Artificial Intelligence (Overview) artificial intelligence;
More information20mm 63.92% ConstantZoom U 5
29 30 2 13 16350926 20mm 63.92% ConstantZoom U 5 1 3 1.1...................................... 3 1.2................................. 4 2 8 2.1............... 8 2.2............................ 8 2.3..
More informationGaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] [7] Fang [1],
1 1 1 Structure from Motion - 1 Ville [1] NAC EMR-9 [2] 1 Osaka University [3], [4] 1 1(a) 1(c) 9 9 9 c 216 Information Processing Society of Japan 1 Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b)
More information1 2 3 マルチメディア, 分散, 協調とモバイル (DICOMO2013) シンポジウム 平成 25 年 7 月.,.,,.,. Surrogate Diner,., Surrogate Diner,, 3,, Surrogate Diner. An Interface Agent for Ps
1 2 3 マルチメディア, 分散, 協調とモバイル (DICOMO2013) シンポジウム 平成 25 年 7 月.,.,,.. Surrogate Diner,., Surrogate Diner, 3,, Surrogate Diner. An Interface Agent for Pseudo Co-Dining with a Remote Person TAKUTO SHIOHARA 1
More information1(a) (b),(c) - [5], [6] Itti [12] [13] gaze eyeball head 2: [time] [7] Stahl [8], [9] Fang [1], [11] 3 -
Vol216-CVIM-22 No18 216/5/12 1 1 1 Structure from Motion - 1 8% Tobii Pro TX3 NAC EMR ACTUS Eye Tribe Tobii Pro Glass NAC EMR-9 Pupil Headset Ville [1] EMR-9 [2] 1 Osaka University Gaze Head Eye (a) deg
More information02_岡本慎平 様.indd
28 2013 p.5 19 21 SF Robot Ethics Roboethics Singer 2009 Krishnan 2009 2012 11 Losing Humanity: The Case against Killer Robots Arkin 2009 1 Levy 2007 1 6 2 Wallach and Allen 2008 2011 Robot Ethics Lin,
More informationipod touch 1 2 Apple ipod touch ipod touch 3 ( ) ipod touch ( 1 ) Apple ( 2 ) Web 1),2) 3. ipod touch 1 2 ipod touch x y z i
ipod touch 1 1 ipod touch. 1) 6 2) 3) A library for detecting movements of an ipod touch by 3D acceleration Akira Kotaki 1 and Mariko Sasakura 1 The aim of this study is to develop a library for detecting
More information商学57‐5/1.山村
217 1982 1998 2002 14 7 7 250 3 2 2004 16 2004 a 90 218 1 1 1948 23 25 19 2004 47 3 13 2 14 1969 2 25 25 20 21.1 70 34.5 40 219 50 25 2004 1kg1 l 1,000 mg1 g 250 mg 1mg 1mg 1 mg 19 1911 44 2005 25 50 1498
More information- (20 ) 400 () 3DCG No.51 No.61 No.62 No.11 P 2 16
- (20 ) 226-8503 1974 6 10 29 4259 Tel:045-924-5050 Fax:045-924-5016 E-mail:hase@hi.pi.titech.ac.jp Tel: Fax: E-mail: Tel:03-3786-5650 Tel:090-6036-8520 P 1 16 - (20 ) 400 () 3DCG No.51 No.61 No.62 No.11
More informationuntitled
TOKUSHIMA PREFECTURAL INDUSTRIAL TECHNOLOGY CENTER 1 1 1 2 3 4 2 6 7 2 9 7 1 8 9 9 7 1 8 5 1 6 4 4 5 42 7 5 3 10 7 4 3 32 15 73 40 208 236 55 120 747 96 233 1,107 1,133 1,282 712 875 5,438 11 1,889 817
More information,,,,., C Java,,.,,.,., ,,.,, i
24 Development of the programming s learning tool for children be derived from maze 1130353 2013 3 1 ,,,,., C Java,,.,,.,., 1 6 1 2.,,.,, i Abstract Development of the programming s learning tool for children
More informationOptical Flow t t + δt 1 Motion Field 3 3 1) 2) 3) Lucas-Kanade 4) 1 t (x, y) I(x, y, t)
http://wwwieice-hbkborg/ 2 2 4 2 -- 2 4 2010 9 3 3 4-1 Lucas-Kanade 4-2 Mean Shift 3 4-3 2 c 2013 1/(18) http://wwwieice-hbkborg/ 2 2 4 2 -- 2 -- 4 4--1 2010 9 4--1--1 Optical Flow t t + δt 1 Motion Field
More informationuntitled
IT E- IT http://www.ipa.go.jp/security/ CERT/CC http://www.cert.org/stats/#alerts IPA IPA 2004 52,151 IT 2003 12 Yahoo 451 40 2002 4 18 IT 1/14 2.1 DoS(Denial of Access) IDS(Intrusion Detection System)
More information人工知能学会研究会資料 SIG-KBS-B Analysis of Voting Behavior in One Night Werewolf 1 2 Ema Nishizaki 1 Tomonobu Ozaki Graduate School of Integrated B
人工知能学会研究会資料 SIG-KBS-B508-09 Analysis of Voting Behavior in One Night Werewolf 1 2 Ema Nishizaki 1 Tomonobu Ozaki 2 1 1 Graduate School of Integrated Basic Sciences, Nihon University 2 2 College of Humanities
More information2797 4 5 6 7 2. 2.1 COM COM 4) 5) COM COM 3 4) 5) 2 2.2 COM COM 6) 7) 10) COM Bonanza 6) Bonanza 6 10 20 Hearts COM 7) 10) 52 4 3 Hearts 3 2,000 4,000
Vol. 50 No. 12 2796 2806 (Dec. 2009) 1 1, 2 COM TCG COM TCG COM TCG Strategy-acquisition System for Video Trading Card Game Nobuto Fujii 1 and Haruhiro Katayose 1, 2 Behavior and strategy of computers
More informationIPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe
1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Speech Visualization System Based on Augmented Reality Yuichiro Nagano 1 and Takashi Yoshino 2 As the spread of the Augmented Reality(AR) technology and service,
More information2016 : M SF
2016 M0113407 2017 3 2016 : M0113407 SF 1 1 1.1......................................... 1 2 4 2.1............................... 4 2.2................................... 5 2.3 [scene-by-scene]..............
More information知能と情報, Vol.29, No.6, pp
36 知能と情報知能と情報 ( 日本知能情報ファジィ学会誌 ( ))Vol.29, No.6, pp.226-230(2017) 会告 Zadeh( ザデー ) 先生を偲ぶ会 のご案内 Zadeh( ) とと と 日 2018 1 20 日 ( ) 15:00 17:30(14:30 18:00 ) 2F ( ) 530-8310 1-1-35 TEL: 06-6372-5101 https://www.hankyu-hotel.com/hotel/osakashh/index.html
More informationNo. 3 Oct The person to the left of the stool carried the traffic-cone towards the trash-can. α α β α α β α α β α Track2 Track3 Track1 Track0 1
ACL2013 TACL 1 ACL2013 Grounded Language Learning from Video Described with Sentences (Yu and Siskind 2013) TACL Transactions of the Association for Computational Linguistics What Makes Writing Great?
More informationVol. 44 No. SIG 12(TOD 19) Sep MF MF MF Content Protection Mechanism Based on Media Framework and an Implementation for Autonomous Information C
Vol. 44 No. SIG 12(TOD 19) Sep. 2003 MF MF MF Content Protection Mechanism Based on Media Framework and an Implementation for Autonomous Information Container Takehito Abe, Noburou Taniguchi, Kunihiro
More information1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +
3 3D 1,a) 1 1 Kinect (X, Y) 3D 3D 1. 2010 Microsoft Kinect for Windows SDK( (Kinect) SDK ) 3D [1], [2] [3] [4] [5] [10] 30fps [10] 3 Kinect 3 Kinect Kinect for Windows SDK 3 Microsoft 3 Kinect for Windows
More informationIPSJ SIG Technical Report Vol.2017-MUS-116 No /8/24 MachineDancing: 1,a) 1,b) 3 MachineDancing MachineDancing MachineDancing 1 MachineDan
MachineDancing: 1,a) 1,b) 3 MachineDancing 2 1. 3 MachineDancing MachineDancing 1 MachineDancing MachineDancing [1] 1 305 0058 1-1-1 a) s.fukayama@aist.go.jp b) m.goto@aist.go.jp 1 MachineDancing 3 CG
More information13_扉.ai
http://www.moba-ken.jp/ Inoue Akito M M 1 Wii 29 Mobile Society Review vol.13 30 Les Jeux et les Hommes 2 jeux 3 play game G H 4 5 & 6 play game??? 7 Negotiable consequences 31 Mobile Society Review vol.13
More informationMicrosoft PowerPoint - YMiyake_DCS_2008_6_11.ppt
第 4 回デジタルコンテンツシンポジウム エージェント アーキテクチャに基づく キャラクター AI の実装 - クロムハウンズのキャラクター AI を例として - 三宅陽一郎 ( 株式会社フロム ソフトウェア ) y.m.4160@gmail.com 2008/6/11 @ 幕張メッセ Contact Information Youichiro Miyake Mail: Twitter: @miyayou
More information1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing
1,a) 2,b) 3 Modeling of Agitation Method in Automatic Mahjong Table using Multi-Agent Simulation Hiroyasu Ide 1,a) Takashi Okuda 2,b) Abstract: Automatic mahjong table refers to mahjong table which automatically
More informationVol. 43 No Newell 1) GPS General Problem Solver 1 De Groot 2),3) 2 Chase 4) De Groot Simon 5) 10, ,000 6),7) Saito 8) 9) 10) 2. De Gr
Vol. 43 No. 10 Oct. 2002 1 De Groot Simon Chase 1 Cognitive Science Approach to Shogi Playing Processes (1) Some Results on Memory Experiments Takeshi Ito, Hitoshi Matsubara and Reijer Grimbergen In the
More information*2 *3 *4 strengths power *5-2-
2000 *1-1- *2 *3 *4 strengths power *5-2- *6 1993 2000 2010 2025 90 120 170 203 10 20 30 60 100 130 190 290 200 270 390 520-3- 20 92,736 30 5082 31,994 564 21,564 28.9% -4- *7 *8 *9-5- *10 *11-6- -7- key
More information12 13 ( (C)(2))
12 13 ( (C)(2)) 1 ,,,,,, 2 [1] 97 2000.9pp.35-52 [2] 98 2001.3pp.21-38 [1] K. Asai, "Recurrent Education in Teacher Education: The Japan Experience", Conference Program International Conference on Teacher
More informationJVRSJ Vol.13 No.3 September, 図 2 PlaceEngine を使用した位置推定の例 : フロア情報を含めて位置の推定が可能 Web 3 GPS PlaceEngine WiFi GPS GPS WiFi 図 3 GPS と WiFi による位置推
22 154 日本バーチャルリアリティ学会誌第 13 巻 3 号 2008 年 9 月 1 ( ) GPS IEEE802.11b/g LAN(Wi-Fi) [1-4] Wi-Fi LAN GPS GPS ( ) GPS Wi-Fi PlaceEngine [4][5] 2 Sensonomy ( ) LAN 図 1 無線基地局位置推定結果 (PlaceEngine での例 ) 80 万強の無線 LAN
More informationJAIST Reposi https://dspace.j Title ゲームの主目的達成を意図しない人間らしい行動の分 類と模倣 Author(s) 中川, 絢太 Citation Issue Date 2017-03 Type Thesis or Dissertation Text version author URL http://hdl.handle.net/10119/14157 Rights
More informationposttruth-mod.key
POST-TRUTH 2017-02-12 11:00-12:00 http://www.louvre.fr/en/oeuvre-notices/archaic-writing-tablets http://www.flickr.com/photos/usnavy/5522861353/ Oxford Dictionaries Word of the Year 2016
More information01-04
国 立 大 学 法 人 京 都 工 芸 繊 維 大 学 広 報 誌 Kyoto Institute of Technology Vol. 37 2014.11 02 KIT NEWS 01 04 KIT NEWS 04 KIT NEWS 03 05 KIT NEWS 06 08 KIT NEWS 07 09 KIT NEWS 10 12 KIT NEWS 11 14 KIT NEWS 13 15 KIT
More information実教の教科書_H24+
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Information Technology Multimedia&Communication 18 19 20 21 22 23 13,650 14,700 21,000 12,600 21,000 9,450 21,000 14,700 21,000 12,600 21,000 9,450 21,000 14,700
More information29 2011 3 4 1 19 5 2 21 6 21 2 21 7 2 23 21 8 21 1 20 21 1 22 20 p.61 21 1 21 21 1 23
29 2011 3 pp.55 86 19 1886 2 13 1 1 21 1888 1 13 2 3,500 3 5 5 50 4 1959 6 p.241 21 1 13 2 p.14 1988 p.2 21 1 15 29 2011 3 4 1 19 5 2 21 6 21 2 21 7 2 23 21 8 21 1 20 21 1 22 20 p.61 21 1 21 21 1 23 1
More information日経テレコン料金表(2016年4月)
1 2 3 4 8,000 15,000 22,000 29,000 5 6 7 8 36,000 42,000 48,000 54,000 9 10 20 30 60,000 66,000 126,000 166,000 50 100 246,000 396,000 1 25 8,000 7,000 620 2150 6,000 4,000 51100 101200 3,000 1,000 201
More information73 p.1 22 16 2004p.152
1987 p.80 72 73 p.1 22 16 2004p.152 281895 1930 1931 12 28 1930 10 27 12 134 74 75 10 27 47.6 1910 1925 10 10 76 10 11 12 139 p.287 p.10 11 pp.3-4 1917 p.284 77 78 10 13 10 p.6 1936 79 15 15 30 80 pp.499-501
More information122011pp.139174 18501933
122011pp.139174 18501933 122011 1850 3 187912 3 1850 8 1933 84 4 1871 12 1879 5 2 1 9 15 1 1 5 3 3 3 6 19 9 9 6 28 7 7 4 1140 9 4 3 5750 58 4 3 1 57 2 122011 3 4 134,500,000 4,020,000 11,600,000 5 2 678.00m
More information2 2 3 4 5 5 2 7 3 4 6 1 3 4 7 4 2 2 2 4 2 3 3 4 5 1932 A p. 40. 1893 A p. 224, p. 226. 1893 B pp. 1 2. p. 3.
1 73 72 1 1844 11 9 1844 12 18 5 1916 1 11 72 1 73 2 1862 3 1870 2 1862 6 1873 1 3 4 3 4 7 2 3 4 5 3 5 4 2007 p. 117. 2 2 3 4 5 5 2 7 3 4 6 1 3 4 7 4 2 2 2 4 2 3 3 4 5 1932 A p. 40. 1893 A p. 224, p. 226.
More informationMicrosoft Word - 映画『東京裁判』を観て.doc
1 2 3 4 5 6 7 1 2008. 2 2010, 3 2010. p.1 4 2008 p.202 5 2008. p.228 6 2011. 7 / 2008. pp.3-4 1 8 1 9 10 11 8 2008, p.7 9 2011. p.41 10.51 11 2009. p. 2 12 13 14 12 2008. p.4 13 2008, p.7-8 14 2008. p.126
More information() L () 20 1
() 25 1 10 1 0 0 0 1 2 3 4 5 6 2 3 4 9308510 4432193 L () 20 1 PP 200,000 P13P14 3 0123456 12345 1234561 2 4 5 6 25 1 10 7 1 8 10 / L 10 9 10 11 () ( ) TEL 23 12 7 38 13 14 15 16 17 18 L 19 20 1000123456
More information308 ( ) p.121
307 1944 1 1920 1995 2 3 4 5 308 ( ) p.121 309 10 12 310 6 7 ( ) ( ) ( ) 50 311 p.120 p.142 ( ) ( ) p.117 p.124 p.118 312 8 p.125 313 p.121 p.122 p.126 p.128 p.156 p.119 p.122 314 p.153 9 315 p.142 p.153
More information