Toshinori Munakata

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Toshinori Munakata [1] Toshinori Munakata,

a Japanese American computer scientist, and distinguished professor emeritus at Computer and Information Science Department, Cleveland State University, holding a B.Sc., M.Sc. and Ph.D. from University of Tokyo. His research interests include artificial intelligence, new computing paradigms, and analysis of algorithms [2]. Since coming to the US in 1967, Toshinori Munakata research has spanned many of AI’s most important realms, neural networks, fuzzy logic, evolutionary computing, and chaotic systems.

1979 …#

• Toshinori Munakata (1979). Matrices and Linear Programming with Applications. Holden-Day, amazon.com
• Toshinori Munakata (1985). Knowledge-Based Systems for Genetics. International Journal of Man-Machine Studies, Vol. 23, No. 5
• D. Yun Yeh, Toshinori Munakata (1986). Dynamic Initial Allocation and Local Reallocation Procedures for Multiple Stacks. Communications of the ACM, Vol. 29, No. 2

1990 …#

• Toshinori Munakata (1992). Notes on Implementing Sets in Prolog. Communications of the ACM, Vol. 35, No. 3
• Toshinori Munakata, Yashvant Jani (1994). Fuzzy Systems: An Overview. Communications of the ACM, Vol. 37, No. 3
• Toshinori Munakata (1995). New Horizons in Commercial and Industrial AI. Communications of the ACM, Vol. 38, No. 11
• William L. Ditto, Toshinori Munakata (1995). Principles and Applications of Chaotic Systems. Communications of the ACM, Vol. 38, No. 11, pdf
• Toshinori Munakata (1996). Thoughts on Deep Blue vs. Kasparov. Communications of the ACM, Vol. 39, No. 7, pdf » Kasparov versus Deep Blue 1996
• Yasser Seirawan, Herbert Simon, Toshinori Munakata (1997). The Implications of Kasparov vs. Deep Blue. Communications of the ACM, Vol. 40, No. 8, pdf hosted by The Computer History Museum » Kasparov versus Deep Blue 1997
• Toshinori Munakata (1998). Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms. 1st edition, Springer, 2nd edition 2008
• Toshinori Munakata (1998). Notes on implementing fuzzy sets in Prolog. Fuzzy Sets and Systems, Vol. 98, No. 3
• Toshinori Munakata (1999). Knowledge Discovery - Introduction. Communications of the ACM, Vol. 42, No. 11

2000 …#

• Brenda Mak, Toshinori Munakata (2002). Rule extraction from expert heuristics: A comparative study of rough sets with neural networks and ID3. European Journal of Operational Research, Vol. 136, No. 1 [4] [5]
• Toshinori Munakata (2007). A Personal View on AI, Rough Set Theory and Professor Pawlak. Transactions on Rough Sets VI [6]
• Toshinori Munakata (2008). Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More. 2nd edition, Springer, 1st edition 1998

2010#

• Toshinori Munakata, Jun Takahashi, Munehisa Sekikawa, Kazuyuki Aihara (2010). Chaos computing: a unified view. International Journal of Parallel, Emergent and Distributed Systems, Vol. 25, No. 1
• Masashi Aono, Song-Ju Kim, Masahiko Hara, Toshinori Munakata (2014). Amoeba-inspired Tug-of-War algorithms for exploration-exploitation dilemma in extended Bandit Problem. Biosystems 117, 1-9, pdf [7] [8] [9]

External Links#

• Munakata’s Home Page

References#

1. ↑ Image (cropped) from Munakata’s Home Page
2. ↑ Munakata’s Home Page - Professional Information
3. ↑ dblp: Toshinori Munakata
4. ↑ Rough set from Wikipedia
5. ↑ ID3 algorithm from Wikipedia » Ross Quinlan
6. ↑ Mathematician | Zdzisław Pawlak
7. ↑ Physarum polycephalum from Wikipedia
8. ↑ Tug of war from Wikipedia
9. ↑ Multi-armed bandit from Wikipedia

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