Category Archive

AGI

Machine Psychology and Artificial General Intelligence

Machine Psychology is an interdisciplinary framework integrating learning psychology and artificial intelligence to advance AGI research1. By synthesizing operant conditioning with Pei Wang’s Non-Axiomatic Reasoning System (NARS), Machine Psychology proposes a model where AI systems adapt dynamically through structured learning2.

  1. Johansson, R. (2024). Empirical Studies in Machine Psychology. Linköping University Electronic Press. ↩

  2. Wang, P. (2022, April). Intelligence: From definition to design. In International Workshop on Self-Supervised Learning (pp. 35-47). PMLR. ↩

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AI

Machine Psychology and Artificial General Intelligence

Machine Psychology is an interdisciplinary framework integrating learning psychology and artificial intelligence to advance AGI research1. By synthesizing operant conditioning with Pei Wang’s Non-Axiomatic Reasoning System (NARS), Machine Psychology proposes a model where AI systems adapt dynamically through structured learning2.

  1. Johansson, R. (2024). Empirical Studies in Machine Psychology. Linköping University Electronic Press. ↩

  2. Wang, P. (2022, April). Intelligence: From definition to design. In International Workshop on Self-Supervised Learning (pp. 35-47). PMLR. ↩

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Machine Psychology

Machine Psychology and Artificial General Intelligence

Machine Psychology is an interdisciplinary framework integrating learning psychology and artificial intelligence to advance AGI research1. By synthesizing operant conditioning with Pei Wang’s Non-Axiomatic Reasoning System (NARS), Machine Psychology proposes a model where AI systems adapt dynamically through structured learning2.

  1. Johansson, R. (2024). Empirical Studies in Machine Psychology. Linköping University Electronic Press. ↩

  2. Wang, P. (2022, April). Intelligence: From definition to design. In International Workshop on Self-Supervised Learning (pp. 35-47). PMLR. ↩

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