The Centre for Computational Intelligence

Bibtex Reference

@article{Gongora2010_EVOS01,
author = "Mario Gongora and David Irvine",
abstract = "This paper describes our novel reactive-adaptive methodology - ReAd - for the creation of
Intelligent Agents capable of evolving to self-improve, in virtual environments. We start with AI
concepts, which are well established for the implementation of character behaviour in serious games,
such as Fuzzy Logic, the Belief-Desire-Intention model (BDI), and Finite State Machines (FSM); and
discuss their characteristics. In particular for BDI and FSM, we analyse their limitations for being
manipulated at run-time, which in turn limits their use in evolvable systems. We present a novel
combination of these techniques, based on a Rational-Reactive structure - RaRe - to optimize their
performance and enable the process of online self-adaptation so that they can be used to create
evolving intelligent agents. The focus of the work is in enabling a structure to be evolvable; the detail of
the adaptation process itself is not in the critical domain of this paper. We present an analysis of our
system in a test scenario, where the standard implementation is compared to our novel ReAd
methodology.",
journal = "Evolving Systems",
keywords = "Evolvable agents, Agent behaviour, Hybrid systems - Self developing systems, Hybrid intelligent agents",
number = "2",
pages = "111-127",
title = " ReAd: Reactive-Adaptive Methodology to enable Evolving Intelligent Agents for Virtual Environments",
url = "http://dx.doi.org/10.1007/s12530-010-9011-0",
volume = "1",
year = "2010",
}