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ORCIDSusumu Katayama
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Journal Articles
- 2019
[j3]Susumu Katayama:
Computable Variants of AIXI which are More Powerful than AIXItl. J. Artif. Gen. Intell. 10(1): 1-23 (2019)- 2007
- [j2]Hiroshi Furutani, Susumu Katayama, Makoto Sakamoto, Takao Ito:
Stochastic analysis of schema distribution in a multiplicative landscape. Artif. Life Robotics 11(1): 101-104 (2007) - 2006
- [j1]Makoto Saito, Makoto Sakamoto, Youichirou Nakama, Takao Ito, Katsushi Inoue, Hiroshi Furutani, Susumu Katayama:
Some properties of four-dimensional multicounter automata. Artif. Life Robotics 10(2): 166-170 (2006)
Conference and Workshop Papers
- 2019
- [c13]Lidia Contreras Ochando
, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama:
Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge. ECML/PKDD (3) 2019: 735-751 - [c12]Lidia Contreras Ochando, César Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama:
BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation. ECML/PKDD (3) 2019: 755-759 - 2016
- [c11]Susumu Katayama:
Ideas for a Reinforcement Learning Algorithm that Learns Programs. AGI 2016: 354-362 - 2015
- [c10]Susumu Katayama:
Towards Human-Level Inductive Functional Programming. AGI 2015: 111-120 - 2012
- [c9]Susumu Katayama:
An analytical inductive functional programming system that avoids unintended programs. PEPM 2012: 43-52 - 2011
- [c8]Susumu Katayama:
An Analytical Inductive Functional Programming System that Avoids Unintended Programs. AAIP 2011: 49-61 - [c7]Susumu Katayama:
MagicHaskeller: System demonstration. AAIP 2011: 63-70 - 2009
- [c6]Susumu Katayama:
Recent Improvements of MagicHaskeller. AAIP 2009: 174-193 - 2008
- [c5]Susumu Katayama:
Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening. PRICAI 2008: 199-210 - 2005
- [c4]Hiroshi Furutani, Makoto Sakamoto, Susumu Katayama:
Influence of Finite Population Size - Extinction of Favorable Schemata. ICNC (2) 2005: 1025-1034 - [c3]Susumu Katayama:
Systematic search for lambda expressions. Trends in Functional Programming 2005: 111-126 - 2004
- [c2]Susumu Katayama:
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation. PRICAI 2004: 75-84 - 2000
- [c1]Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi:
A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. ICML 2000: 447-454
Informal and Other Publications
- 2018
- [i2]Susumu Katayama:
Computable Variants of AIXI which are More Powerful than AIXItl. CoRR abs/1805.08592 (2018) - [i1]Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama:
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation. CoRR abs/1809.10054 (2018)
Coauthor Index
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