activity
20132025
most citedBounded Recursive Self-Improvement

18 citations · 22 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution

Gonçalo Hora de Carvalho, Lazar S. Popov, Sander Kaatee +6

We introduce \textbf{ICE-ID}, a benchmark dataset comprising 984,028 records from 16 Icelandic census waves spanning 220 years (1703--1920), with 226,864 expert-curated person iden…

cs.CV2023

Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding & Contextual Label Affinity

Hugo Latapie, Shan Yu, Patrick Hammer +14

Traditional computer vision models often necessitate extensive data acquisition, annotation, and validation. These models frequently struggle in real-world applications, resulting…

cs.AI2021

Neurosymbolic Systems of Perception & Cognition: The Role of Attention

Hugo Latapie, Ozkan Kilic, Kristinn R. Thorisson +2

A cognitive architecture aimed at cumulative learning must provide the necessary information and control structures to allow agents to learn incrementally and autonomously from the…

cs.AI2021

A Metamodel and Framework for Artificial General Intelligence From Theory to Practice

Hugo Latapie, Ozkan Kilic, Gaowen Liu +7

This paper introduces a new metamodel-based knowledge representation that significantly improves autonomous learning and adaptation. While interest in hybrid machine learning / sym…

cs.AI2016★ 4 cited

Why Artificial Intelligence Needs a Task Theory --- And What It Might Look Like

Kristinn R. Thórisson, Jordi Bieger, Thröstur Thorarensen +2

The concept of "task" is at the core of artificial intelligence (AI): Tasks are used for training and evaluating AI systems, which are built in order to perform and automatize task…

cs.AI2013★ 18 cited

Bounded Recursive Self-Improvement

E. Nivel, K. R. Thórisson, B. R. Steunebrink +10

We have designed a machine that becomes increasingly better at behaving in underspecified circumstances, in a goal-directed way, on the job, by modeling itself and its environment…