We examine the problem of self-adaptation in game-playing agents as the game requirements evolve incrementally. The goal of our current work is to develop an interactive environment in which the game designer generates requirements for a new version of a game, and the legacy software agents from previous versions of the game adapt themselves to the new game requirements. We are developing and testing our metareasoning technique for adapting a game-playing agents in Freeciv, a mature program in the domain of turn-based, multi-player strategy games. In this paper, we first present an analysis of adaptations to FreeCiv, next describe our general approach, and then describe a specific adaptation scenario
This paper presents a novel learning framework to provide computer game agents the ability to adapt ...
In this work we present an evolving system of agents which interact with each other in game theoreti...
Computer games are frustrating if they are too difficult, but boring if they are too easy. This thes...
Abstract—We examine the use of teleological metareasoning for self-adaptation in game-playing softwa...
Abstract. As the task environment of a software artifact evolves, so must its design. For example, a...
AbstractWe view interactive games and game-playing software agents as complex systems. This allows u...
AbstractWe view interactive games and game-playing software agents as complex systems. This allows u...
Most modern computer games provide a virtual environment as a context for player interaction. Recen...
In this chapter, we explore methods for automatically generating game content — and games themselves...
Current research on adaptive games has mainly focused on adjusting difficulty in a variety of ways, ...
Personalization and adaptivity can promote motivated usage, increased user acceptance, and user iden...
In this work we present an evolving system of agents which interact with each other in game theoreti...
In this work we present an evolving system of agents which interact with each other in game theoreti...
Control data variants of game models such as Interface Automata are suitable for the design and anal...
This paper presents a novel learning framework to provide computer game agents the ability to adapt ...
This paper presents a novel learning framework to provide computer game agents the ability to adapt ...
In this work we present an evolving system of agents which interact with each other in game theoreti...
Computer games are frustrating if they are too difficult, but boring if they are too easy. This thes...
Abstract—We examine the use of teleological metareasoning for self-adaptation in game-playing softwa...
Abstract. As the task environment of a software artifact evolves, so must its design. For example, a...
AbstractWe view interactive games and game-playing software agents as complex systems. This allows u...
AbstractWe view interactive games and game-playing software agents as complex systems. This allows u...
Most modern computer games provide a virtual environment as a context for player interaction. Recen...
In this chapter, we explore methods for automatically generating game content — and games themselves...
Current research on adaptive games has mainly focused on adjusting difficulty in a variety of ways, ...
Personalization and adaptivity can promote motivated usage, increased user acceptance, and user iden...
In this work we present an evolving system of agents which interact with each other in game theoreti...
In this work we present an evolving system of agents which interact with each other in game theoreti...
Control data variants of game models such as Interface Automata are suitable for the design and anal...
This paper presents a novel learning framework to provide computer game agents the ability to adapt ...
This paper presents a novel learning framework to provide computer game agents the ability to adapt ...
In this work we present an evolving system of agents which interact with each other in game theoreti...
Computer games are frustrating if they are too difficult, but boring if they are too easy. This thes...