In general, games pose interesting and complex problems for the implementation of
intelligent agents and are a popular domain in the study of artificial intelligence. In fact …

Artificial intelligence for digital games constitutes the implementation of a set of algorithms
and techniques from both traditional and modern artificial intelligence in order to provide …

Artificial intelligence in games is typically used for creating player's opponents. Manual
editing of intelligent behaviors for nonplayer characters (NPCs) of games is a cumbersome …

Artificial intelligence in games is typically used for creating player's opponents. Manual
edition of intelligent behaviors for Non-Player Characters (NPCs) of games is a cumbersome …

There is a strong need to develop Artificial Intelligence (AI) for virtual characters which are:•
Autonomous–able to function effectively with little or no human input at runtime• Reactive …

In the last decade, many commercial video games have used planners instead of classical
behavior trees or finite state machines to define agent behaviors. Planners allow looking …

Mobile multirobot systems play an increasing role in many disciplines. Their capabilities can
be used, eg, to transport workpieces in industrial applications or to support operational …

We describe an AI behavior architecture that supports responsive collaborative interruptible
and resumable behaviors using behavior queues. This architecture wraps sets of behaviors …

In this paper, we present an agent that learns Hierarchical Task Network (HTN) knowledge
from observing a player performing actions in Minecraft. From these observations, the agent …

In this paper we present an algorithm for the automated learning of hierarchical task
networks. Our algorithm has three characteristics:(1) it learns the high-level structure of the …