General AI Challenge - Round One: Gradual Learning

TL;DR

This paper introduces the first round of the General AI Challenge, focusing on gradual learning, formalizing the problem, and analyzing curricula to advance research in building more general intelligent machines.

Contribution

It presents a formal description of the gradual learning challenge and offers a preliminary curriculum analysis inspired by computational mechanics.

Findings

Formal challenge description established

Preliminary curriculum analysis conducted

Framework for future challenge rounds proposed

Abstract

The General AI Challenge is an initiative to encourage the wider artificial intelligence community to focus on important problems in building intelligent machines with more general scope than is currently possible. The challenge comprises of multiple rounds, with the first round focusing on gradual learning, i.e. the ability to re-use already learned knowledge for efficiently learning to solve subsequent problems. In this article, we will present details of the first round of the challenge, its inspiration and aims. We also outline a more formal description of the challenge and present a preliminary analysis of its curriculum, based on ideas from computational mechanics. We believe, that such formalism will allow for a more principled approach towards investigating tasks in the challenge, building new curricula and for potentially improving consequent challenge rounds.