【著書】
１． 石川眞澄, 石谷久, 社会システム工学, ２章（pp.9-32），３章（pp.33-65），５章（pp.103-189），朝倉書店, 1992.3.
２． 石川眞澄, 他, ニューロコンピューティング, ２章（pp.23-46），８章（pp.127136），朝倉書店, 1992.7.
３． 石川眞澄, ニューラルネットワークの基礎, 甘利俊一, 向殿政男編, ニューロとファジィ, １章, pp.17-52, 培風館, 1994.5.
４． 石川眞澄, 階層型ニューラルネットの数理, 計測自動制御学会編, ファジィ・ニューロ・ＡＩハンドブック, ３章, pp.79-84, オーム社, 1994.5.
５． 石川眞澄, ニューラルネットワーク, p.88, バックプロパゲーションアルゴリズム,
p.108, ソフトコンピューティング用語集, 朝倉書店, 1996.
６． 石川眞澄, ニューラルネットワーク、「マルチメディア産業応用技術大系」, （第３編利用技術, 第３章コンピュータ技術, 第４節ニューラルネットワーク）,pp.378-381, フジ・テクノシステム, 1997.8.
７． Masumi Ishikawa, Structural learning and rule discovery from data, in S.
Amari and N. Kasabov Eds., Brain-Like Computing and Intelligent
Information Systems, Chapter 16, pp.395-415, Springer, 1998.
８． 石川真澄, 層上モデル, 誤差逆伝搬法, 慣性項, 電子情報通信学会編, 電子情報通信ハンドブック, pp.77-79, 1998.10.31.
９． Masumi Ishikawa, Structural learning and rule discovery, in I. Cloete and J.
Zurada Eds., Knowledge-Based Neurocomputing, Chapter 5, pp.153-206, TheMIT Press, 2000.
１０． 石川眞澄, 構造学習, 甘利俊一, 外山敬介編, 脳科学大辞典, pp.712-715, 朝倉書店, 2000.4.
１１． 石川眞澄, 学習アルゴリズム(p.123), 構造学習(p.269), コネクショニストモデル(p.285), コネクショニズム(p.285), 並列分散処理(p.756), ＰＤＰ(p.693), 活性伝播(p.138), 認知科学辞典, 共立出版, 2002.8.1.
１２． Hong Zhang, Masumi Ishikawa, A solution to combinatorial optimization
with time-varying parameters by a hybrid genetic algorithm, Brain-Inspired
IT Ⅰ, International Congress Series, 1269, pp.149-152, 2004.9.
１３． Keiji Kamei, Masumi Ishikawa, Determination of the optimal values ofparameters in reinforcement learning for mobile robot navigation by a geneticalgorithm, Brain-Inspired IT Ⅰ, International Congress Series, 1269, pp.193196, 2004.9.
１４． Keiji Kameia, Masumi Ishikawa, Reduction of computational cost in
optimization of parameter values in reinforcement learning by a genetic1

algorithm, Kazuo Ishii, Kiyohisa Natsume and Akitoshi Hanazawa Editors,
Brain-Inspired IT II-- Decision and Behavioral Choice Organized by Naturaland Artificial Brains, International Congress Series 1291, pp.185-188,
Elsevier, 2006.
１５． Hong Zhang, Masumi Ishikawa, A hybrid real-coded genetic algorithmwith forgetting and its applications, Kazuo Ishii, Kiyohisa Natsume andAkitoshi Hanazawa Editors, Brain-Inspired IT II-- Decision and Behavioral

Choice Organized by Natural and Artificial Brains, International Congress
Series 1291, pp.189-192, Elsevier, 2006.
１６． Frederik Linaker, Masumi Ishikawa, Robot localization using vision,
Trends in Neural Computation, pp.483-512, Springer, 2007.10
１７． T. Furukawa, K. Tokunaga, S. Yasui, H. Tamukoh, K. Ishii, M. Ishikawa,
K. Horio, K. Natsume, Modular network self-organizing map: Can it be an
artificial cortex?, Brain-Inspired IT III, Vol.1301, pp.43-47, July 2007.
１８． M. Ishikawa, K. Ishii, T. Yamakawa, M. Nagamatsu, H. Nakagawa, H.
Zhang and T. Furukawa, Brain-inspired emergence of behaviors in mobilerobots, Brain-Inspired IT III, Volume 1301, pp.48-51, 2007.7.
１９． M. A. Muslim, M. Ishikawa and T. Furukawa, Training expert modules fora mobile robot using mnSOM, Brain-Inspired IT III, Volume 1301, pp.172-175,
2007.7.
２０． K. Kamei and M. Ishikawa, Prediction of the optimal parameter values inreinforcement learning as a function of the environment, Brain-Inspired ITIII, Volume 1301, pp. 210-213, 2007.7.
２１． Hong Zhang, Masumi Ishikawa, Bagging using hybrid real-coded genetic
algorithm with pruning and its applications to data classification, BrainInspired IT III, Volume 1301, pp. 184-187, 2007.7.
２２． Hong Zhang, Masumi Ishikawa, Evolutionary particle swarm optimization:
A metaoptimization method with GA for estimating optimal PSO models,Oscar Castillo, Li Xu, and Sio-long Ao Editors, Trends in Intelligent Systemsand Computer Engineering, Chapter 5, pp.75-90, Springer, 2008.
２３． Masumi Ishikawa, Masahiro Nagamatsu, Takao Hagiwara, Naoyuki
Yamamoto, Fumiko Kiriake, Takehiko Nishida, Takeshi Yamakawa, KazuoIshii, Hideki Nakagawa and Hong Zhang, Brain-inspired emergence ofbehaviors based on values and curiosity in mobile robots, in Akitoshi
Hanazawa, Tsutomu Miki, and Keiichi Horio (Eds.) Brain-Inspired
Information Technology, Vol.266, pp.33-38, 2009.11.23.
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２４． Takao Hagiwara and Masumi Ishikawa, Emergence of behaviors byreinforcement learning based on the desire for existence, in Akitoshi
Hanazawa, Tsutomu Miki, and Keiichi Horio (Eds.) Brain-Inspired
Information Technology, Vol.266, pp.39-44, 2009.11.23.
２５． Fumiko Kiriake and Masumi Ishikawa, Classification and novelty
detection of omni-view Images taken from a mobile robot, in Akitoshi
Hanazawa, Tsutomu Miki, and Keiichi Horio (Eds.) Brain-Inspired
Information Technology, Vol.266, pp.45-49, 2009.11.23.
２６． Naoyuki Yamamoto and Masumi Ishikawa, Curiosity and boredom basedon prediction error as novel internal rewards, in Akitoshi Hanazawa, TsutomuMiki, and Keiichi Horio (Eds.) Brain-Inspired Information Technology, Vol.266,
pp.51-55, 2009.11.23.
２７． Keiji Kamei and Masumi Ishikawa, Skill transfer of a mobile robot
obtained by reinforcement learning to a different mobile robot, in Akitoshi
Hanazawa, Tsutomu Miki, and Keiichi Horio (Eds.) Brain-Inspired
Information Technology, Vol.266, pp.57-62, 2009.11.23.
２８． Hong Zhang and Masumi Ishikawa, Effect of fitness functions on theperformance of evolutionary particle swarm optimization, in Akitoshi
Hanazawa, Tsutomu Miki, and Keiichi Horio (Eds.) Brain-Inspired
Information Technology, Vol.266, pp.63-68, 2009.11.23.

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