Using Synthetic Vision for Autonomous Non-Player Characters

Using Synthetic Vision for Autonomous Non-Player Characters

In this paper, we discuss the role and utility of synthetic vision in computer games. We present an implementation of a synthetic vision module based on two viewports rendered in real-time, one representing static information and the other dynamic, with false colouring being used for object identification, depth information and mo vement representation. We demonstrate the utility of this synthe...

Using Synthetic Vision for Autonomous Non-Player Characters in Computer Games

In this paper, we discuss the role and utility of synthetic vision in computer games. We present an implementation of a synthetic vision module based on two viewports rendered in real-time, one representing static information and the other dynamic, with false colouring being used for object identification, depth information and movement representation. We demonstrate the utility of this synthet...

Towards autonomous behavior learning of non-player characters in games

Non-Player-Characters (NPCs), as found in computer games, can be modelled as intelligent systems, which serve to improve the interactivity and playability of the games. Although reinforcement learning (RL) has been a promising approach to creating the behaviour models of non-player characters (NPC), an initial stage of exploration and low performance is typically required. On the other hand, im...

Autonomous Agents as Synthetic Characters

gence derives from our ability to manipulate our environment through collaborative endeavors. Most extant computer programs and interfaces do little to take advantage of such manifestly human talents and interests, leaving broad avenues of human-computer communication unexplored. Although it is still considered controversial, there are many who believe the harnessing of social communication to ...

Design Goals for Autonomous Synthetic Characters