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. ↩

Day 2

This method has been shown to work [1]. But not in [2] or [3].

Day 0

This is Day 0 of my journey of finishing my PhD thesis!!

Goal setting

My purpose of writing this blog is to help me achieve my goal, which is to have finished a draft of my PhD thesis in Computer Science. I will aim to have it finished in 31 days, starting today on August 7th 2023.