10 papers
Foundations of a Developmental Design Paradigm for Integrated Continual Learning, Deliberative Behavior, and Comprehensibility
Zeki Doruk Erden, Boi Faltings
Inherent limitations of contemporary machine learning systems in crucial areas -- importantly in continual learning, information reuse, comprehensibility, and integration with deli…
LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferences
Sankarshan Damle, Boi Faltings
Large Language Models (LLMs) are increasingly expected to handle complex decision-making tasks, yet their ability to perform structured resource allocation remains underexplored. E…
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
Zeki Doruk Erden, Boi Faltings
Artificial intelligence (AI), propelled by advancements in machine learning, has made significant strides in solving complex tasks. However, the current neural network-based paradi…
On the Parallels Between Evolutionary Theory and the State of AI
Zeki Doruk Erden, Boi Faltings
This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern A…
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Zeki Doruk Erden, Donia Gasmi, Boi Faltings
Continual learning for reinforcement learning agents remains a significant challenge, particularly in preserving and leveraging existing information without an external signal to i…
A Proposal for Networks Capable of Continual Learning
Zeki Doruk Erden, Boi Faltings
We analyze the ability of computational units to retain past responses after parameter updates, a key property for system-wide continual learning. Neural networks trained with grad…