17 citations · 36 across the 5 of their papers we have counts for
5 papers
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
David Castillo-Bolado, Joseph Davidson, Finlay Gray +1
We introduce a dynamic benchmarking system for conversational agents that evaluates their performance through a single, simulated, and lengthy useragent interactio…
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures
Nicholas Guttenberg, Marek Rosa
We create an artificial system of agents (attention-based neural networks) which selectively exchange messages with each-other in order to study the emergence of memetic evolution…
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa, Olga Afanasjeva, Simon Andersson +6
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables t…
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Jaroslav Vítků, Petr Dluhoš, Joseph Davidson +10
Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are usu…
A Framework for Searching for General Artificial Intelligence
Marek Rosa, Jan Feyereisl, The GoodAI Collective
There is a significant lack of unified approaches to building generally intelligent machines. The majority of current artificial intelligence research operates within a very narrow…