Sciweavers

AIIDE
2006
13 years 6 months ago
Believable and Reactive Crowds in Next Generation Games
The creation of life-like believable characters is emerging as the central focus of next-generation game development and is viewed as critical to obtaining true mass-market appeal...
Paul Kruszewski
AIIDE
2006
13 years 6 months ago
Using Natural Language to Manage NPC Dialog
1 In this document, we describe our work applying natural language (NL) technologies to improve non-player character (NPC) dialog interactions in games, specifically role-playing g...
Gary Kacmarcik
AIIDE
2006
13 years 6 months ago
Biased Cost Pathfinding
Alborz Geramifard, Pirooz Chubak, Vadim Bulitko
AIIDE
2006
13 years 6 months ago
Goal-Directed Hierarchical Dynamic Scripting for RTS Games
Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach f...
Anders Dahlbom, Lars Niklasson
AIIDE
2006
13 years 6 months ago
A Framework for Summarizing Game Experiences as Narratives
Online role playing games may be enjoyed periodically for months or years at a time. Players often log onto the game and play for a short time, and then log off for a long period ...
Yun-Gyung Cheong, R. Michael Young
AIIDE
2006
13 years 6 months ago
CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations
This paper presents a scalable approach to crowd simulation that can generate complex and varied simulations by using multiple types of individuals in a crowd. Efficiency is attai...
Shannon Blyth, Howard J. Hamilton
AIIDE
2006
13 years 6 months ago
Dynamic Game Balancing: An Evaluation of User Satisfaction
User satisfaction in computer games seems to be influenced by game balance, the level of challenge faced by the user. This work presents an evaluation, performed by human players,...
Gustavo Andrade, Geber Ramalho, Alex Sandro Gomes,...
AIIDE
2006
13 years 6 months ago
A Testbed for Evaluating AI Research Systems in Commercial Games
David W. Aha, Matthew Molineaux, Philip Moore
AIIDE
2006
13 years 6 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...