Evolving Lose-Checkers players using genetic programming. - Amit Benbassat; Moshe Sipper (CIG, 2010)

Evolving board-game players with genetic programming. - Amit Benbassat; Moshe Sipper (GECCO (Companion), 2011)

Evolving both search and strategy for Reversi players using genetic programming. - Amit Benbassat; Moshe Sipper (CIG, 2012)

Evolving players that use selective game-tree search with genetic programming. - Amit Benbassat; Moshe Sipper (GECCO (Companion), 2012)

EvoMCTS: Enhancing MCTS-based players through genetic programming. - Amit Benbassat; Moshe Sipper (CIG, 2013)

Evolving artificial neural networks with FINCH. - Amit Benbassat; Moshe Sipper (GECCO (Companion), 2013)

From size perception to counting: an evolutionary computation point of view. - Gali Katz; Amit Benbassat; Liana Diesendruck; Moshe Sipper; Avishai Henik (GECCO (Companion), 2013)

Complexity of Canadian traveler problem variants. - Dror Fried; Solomon Eyal Shimony; Amit Benbassat; Cenny Wenner (Theor. Comput. Sci., 2013)

EvoMCTS: A Scalable Approach for General Game Learning. - Amit Benbassat; Moshe Sipper (IEEE Trans. Comput. Intell. AI Games, 2014)

Examining The Stroop Effect using A Develomental Spatial Neuroevolution System. - Amit Benbassat; Avishai Henik (GECCO (Companion), 2015)

Nearing Stroop Effect Replication via Neuroevolution. - Amit Benbassat; Avishai Henik (GECCO (Companion), 2016)

Replicating the Stroop Effect Using a Developmental Spatial Neuroevolution System. - Amit Benbassat; Avishai Henik (PPSN, 2016)

A simple bucketing based approach to diversity maintenance. - Amit Benbassat; Yuri Shafet (GECCO (Companion), 2017)

Genetic algorithms are very good solved sudoku generators. - Amit Benbassat (GECCO (Companion), 2019)