This paper addresses the challenge of automated numeric domain model acquisition from
observations. Many industrial and commercial applications of planning technology rely on …

General game playing (GGP) is a framework for evaluating an agent's general intelligence
across a wide range of tasks. In the GGP competition, an agent is given the rules of a game …

Imagine a machine, equipped with sensors, receiving a stream of sensory information. It
must, somehow, make sense of this stream of sensory data. But what, exactly, does this …

While general game playing is an active field of research, the learning of game design has
tended to be either a secondary goal of such research or it has been solely the domain of …

We deal with the problem of automatic generation of complete rules of an arbitrary game.
This requires a generic and accurate evaluating function that is used to score games …

In this paper we present a process for automatically generating manuals for board games
within the Ludii general game system. This process requires many different sub-tasks to be …

A declarative action model is a compact representation of the state transitions of dynamic
systems that generalizes over world objects. The specification of declarative action models …

Artificial intelligence has been developed since the beginning of IT systems. Today there are
many AI techniques that are successfully applied. Most of the AI field is, however, concerned …

Since their initial development by Wardrip-Fruin and further exposition by Wardrip-Fruin and
Mateas, operational logics (OLs) have enjoyed broad use and inspired several approaches …

In this work, we address the problem of learning planning domain models from example
action traces that contain missing and noisy data. In many situations, the action traces that …