Onteca are currently undertaking a major research project with the support of the Technology Strategy Board. It is a bit early to announce our results but included here is the project abstract and a teaser image of early results we are getting.
Autonomy Orientated Computing (AOC) presents a generalised model which unifies analysis, modelling and simulation of the characteristics of complex systems. AOC uses autonomous entities or agents to simulate and solve complicated problems. Often AOC based solutions are designed to minimise human involvement. For instance autonomic computing systems are computer networks that can be managed without the need for human intervention. AOC systems manage themselves according to an administrator’s goals. The analogy of an ant colony is often used to explain AOC, the systems within the colony combine to create the whole.
We wish to apply Autonomy Orientated Computing (AOC) techniques to the creation of computer game content. Computer Games are often built by teams of over 200 hundred people, and a significant part of the development effort is spent on the creation of “levels” or “challenges”. Throughout our current production and research work Onteca have used a variety of Generative Algorithms to produce game content both in terms of form and function.
In this project we will examine ways in which AOC can be used to lower the cost of game production.