Introduction

The objective of the AI library is to provide a complete toolbox of logic components for the implementation of 'believable' computer controlled characters in a massively multi-user universe simulation.

Features

Autonomous agents

• Distributed autonomous agent framework infrastructure
• Run time agent definition scripting system (see below)
• Tool set for creation of hard-coded agents
• Agents are constructed as hierachical agregations of sub-elements
• Messaging system allows transparent routing of messages between agents within a single application or between aplications on a single shard.

A dedicated scripting language

• Based on a virtual machine approach (similar to Java)
• Object oriented, with a strong agent flavor
• Declarative rather than procedural - which makes it well adapted to the definition of agregatins

Basic components for use in Agent design

• Finite state automaton plugin for agent framework
• 'Operator' based action planning plugin for the agent framework
• 'Classifier' based learning plugin for the agent framework
• Agent memory plugin for the agent framework
• Fuzzy logic library with fuzzy logic controler plugin for the agent framework