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This paper introduces an interdisciplinary framework called Machine Psychology, which merges principles from operant learning psychology with a specific Artificial Intelligence model, the Non-Axiomatic Reasoning System (NARS), to enhance Artificial General Intelligence (AGI) research.
Conditional reactions in the rat
Lashley, K. S. (1938) · 1938
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The behavior of organisms: An experimental analysis
Skinner, B. F. (1938) · 1938
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Science and human behavior
Skinner, B. F. (1953) · 1953
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Psychobiology
Dewsbury, D. A. (1991) · 1991
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Radical behaviorism: The philosophy and the science
Chiesa, M. (1994) · 1994
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Non-axiomatic reasoning system: Exploring the essence of intelligence
Wang, P. (1995) · 1995
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The behavior of organisms?
Roche, B. and Barnes, D. (1997) · 1997
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Relational frame theory : a post-Skinnerian account of human language and cognition
Hayes, S. C., Barnes-Holmes, D., and Roche, B. (2001) · 2001
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Operant conditioning in invertebrates
Brembs, B. (2003) · 2003
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Universal artificial intelligence: Sequential decisions based on algorithmic probability
Hutter, M. (2004) · 2004
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Rigid flexibility: The logic of intelligence
Wang, P. (2006) · 2006
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Opensesame: An open-source, graphical experiment builder for the social sciences
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Wang, P. (2013) · 2013
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Human-level control through deep reinforcement learning
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · 2015
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Hayes, L. J. and Fryling, M. J. (2018) · 2018
‘opennars for applications’: architecture and control
Hammer, P. and Lofthouse, T. (2020) · 2020
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Scientific progress in agi from the perspective of contemporary behavioral psychology
Johansson, R. (2020) · 2020
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A thousand brains: A new theory of intelligence
Hawkins, J. (2021) · 2021
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Relating is an operant: A fly over of 35 years of rft research
Hayes, S. C., Law, S., Assemi, K., Falletta-Cowden, N., Shamblin, M., Burleigh, K., Olla, R., Forman, M., and Smith, P. (2021) · 2021
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Learning in individual organisms, genes, machines, and groups: A new way of defining and relating learning in different systems
De Houwer, J. and Hughes, S. J. (2022) · 2022
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Reasoning-learning systems based on non-axiomatic reasoning system theory
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Laird, J. E. (2019) · 2019
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Alann: An event driven control mechanism for a non-axiomatic reasoning system (nars)
Lofthouse, T. (2019) · 2019
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On defining artificial intelligence
Wang, P. (2019) · 2019
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The psychology of learning: An introduction from a functional-cognitive perspective
De Houwer, J. and Hughes, S. (2020) · 2020
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Hammer, P. (2022) · 2022
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Ona for autonomous ros-based robots
Hammer, P., Isaev, P., Lofthouse, T., and Johansson, R. (2023) · 2022
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Intelligence: From definition to design
Wang, P. (2022) · 2022
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Sparks of artificial general intelligence: Early experiments with gpt-4
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · 2023
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More stimulus discrimination
WMU Rat Lab (2009) · 2024
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