A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. - Susumu Katayama; Hajime Kimura; Shigenobu Kobayashi (ICML, 2000)

Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation. - Susumu Katayama (PRICAI, 2004)

Influence of Finite Population Size - Extinction of Favorable Schemata. - Hiroshi Furutani; Makoto Sakamoto; Susumu Katayama (ICNC (2), 2005)

Systematic search for lambda expressions. - Susumu Katayama (Trends in Functional Programming, 2005)

Some properties of four-dimensional multicounter automata. - Makoto Saito; Makoto Sakamoto; Youichirou Nakama; Takao Ito; Katsushi Inoue; Hiroshi Furutani; Susumu Katayama (Artif. Life Robotics, 2006)

Stochastic analysis of schema distribution in a multiplicative landscape. - Hiroshi Furutani; Susumu Katayama; Makoto Sakamoto; Takao Ito (Artif. Life Robotics, 2007)

Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening. - Susumu Katayama (PRICAI, 2008)

Recent Improvements of MagicHaskeller. - Susumu Katayama (AAIP, 2009)

MagicHaskeller: System demonstration. - Susumu Katayama (AAIP, 2011)

An analytical inductive functional programming system that avoids unintended programs. - Susumu Katayama (PEPM, 2012)

Towards Human-Level Inductive Functional Programming. - Susumu Katayama (AGI, 2015)

Ideas for a Reinforcement Learning Algorithm that Learns Programs. - Susumu Katayama (AGI, 2016)

General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation. - Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana; Susumu Katayama (CoRR, 2018)

Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge. - Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana; Susumu Katayama (ECML/PKDD (3), 2019)

BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation. - Lidia Contreras Ochando; César Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana; Susumu Katayama (ECML/PKDD (3), 2019)

Computable Variants of AIXI which are More Powerful than AIXItl. - Susumu Katayama (J. Artif. Gen. Intell., 2019)