1 citations · 1 across the 5 of their papers we have counts for
5 papers
Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation
Erik M. Lintunen, Nadia M. Ady, Sebastian Deterding +1
Computational modelling offers a powerful tool for formalising psychological theories, making them more transparent, testable, and applicable in digital contexts. Yet, the question…
Untapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning
Natalya Weber, Christian Guckelsberger, Tom Froese
The Self-Optimization (SO) model can be considered as the third operational mode of the classical Hopfield Network, leveraging the power of associative memory to enhance optimizati…
Diversity Progress for Goal Selection in Discriminability-Motivated RL
Erik M. Lintunen, Nadia M. Ady, Christian Guckelsberger
Non-uniform goal selection has the potential to improve the reinforcement learning (RL) of skills over uniform-random selection. In this paper, we introduce a method for learning a…
On Creativity and Open-Endedness
L. B. Soros, Alyssa Adams, Stefano Kalonaris +2
Artificial Life (ALife) as an interdisciplinary field draws inspiration and influence from a variety of perspectives. Scientific progress crucially depends, then, on concerted effo…
Creativity and Markov Decision Processes
Joonas Lahikainen, Nadia M. Ady, Christian Guckelsberger
Creativity is already regularly attributed to AI systems outside specialised computational creativity (CC) communities. However, the evaluation of creativity in AI at large typical…