Using Virtual Worlds to Facilitate the Exploration of Ancient Landscapes

Authors:
Robert Reynolds;Kevin Vitale;Xiangdong Che;John O'Shea;Areej Salaymeh
Affiliations:
College of Engineering, Artificial Intelligence Laboratory, Wayne State University, Detroit, MI, USA;Artificial Intelligence Laboratory, Wayne State University, Detroit, MI, USA;College of Technology, Eastern Michigan University, Ypsilanti, MI, USA;Great Lakes Archaeology, Museum of Anthropology, University of Michigan, Ann Arbor, MI, USA;Artificial Intelligence Laboratory, Wayne State University, Detroit, MI, USA
Venue:
International Journal of Swarm Intelligence Research
Year:
2013

Citing 10
Cited 0

A collection of test problems for constrained global optimization algorithms

A collection of test problems for constrained global optimization algorithms
Robot Motion Planning

Robot Motion Planning
Game Programming Gems

Game Programming Gems
Planning Algorithms

Planning Algorithms
Mining the Social Fabric of Archaic Urban Centers with Cultural Algorithms

Computer
Indicative routes for path planning and crowd simulation

Proceedings of the 4th International Conference on Foundations of Digital Games
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
Computing with the social fabric: The evolution of social intelligence within a cultural framework

IEEE Computational Intelligence Magazine
Unraveling ancient mysteries: reimagining the past using evolutionary computation in a complex gaming environment

IEEE Transactions on Evolutionary Computation
Networks Do Matter: The Socially Motivated Design of a 3D Race Controller Using Cultural Algorithms

International Journal of Swarm Intelligence Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Land Bridge-Cultural Algorithms Program Simulation L-CAPS system is a functional interface for learning group behavior using Cultural Algorithms CA. It enables the Cultural Algorithms process to implicitly communicate with, modify, and evaluate autonomous game agents restricted to an external virtual world. The L-CAPS system extends the work of Kinnaird-Heether Reynolds & Kinnaird-Heether, 2010, and is able to examine the viability of using CA in learning group behavior in games, as well as the ability for CA to be extended to more general game designs. Here it is applied to the learning of large group movement for the Land Bridge reality game. The goal of the Land Bridge Game is to recreate the virtual world of an ancient land bridge that extended across modern Lake Huron between 10,000 B.C. and 7000 B.C. Here, the authors are trying to predict the location of hunting sites, assuming that the positioning of those sites is related to the distribution of available game. In this paper they use L-CAPS to tune an algorithm to simulate the movement of large herds of caribou. In subsequent work the authors will then generate optimal paths for these herds through the ancient landscape using various path planning algorithms.