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 [1]. 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. His greatest contributions have been in communicating these very different paradigms to the world [2].
Toshinori Munakata [3]

Selected Publications

1979 ...

• Toshinori Munakata (1979). Matrices and Linear Programming with Applications. Holden-Day, from 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 - Introduction to the Special Issue. 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 from 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 ^{[5] [6]}
• Toshinori Munakata (2007). A Personal View on AI, Rough Set Theory and Professor Pawlak. Transactions on Rough Sets VI ^[7]
• 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 ^{[8] [9] [10]}

External Links

• Munakata's Home Page
• Congratulations to Toshinori Munakata for Recognition - Department of Computer and Information Science - Cleveland State University, August 26, 2011

References

1. ^ Munakata's Home Page - Professional Information
2. ^ Congratulations to Toshinori Munakata for Recognition - Department of Computer and Information Science - Cleveland State University, August 26, 2011
3. ^ Image (cropped) from Munakata's Home Page
4. ^ dblp: Toshinori Munakata
5. ^ Rough set from Wikipedia
6. ^ ID3 algorithm from Wikipedia » Ross Quinlan
7. ^ Mathematician | Zdzisław Pawlak
8. ^ Physarum polycephalum from Wikipedia
9. ^ Tug of war from Wikipedia
10. ^ Multi-armed bandit from Wikipedia

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