Accession Number:

ADA459203

Title:

Increasing Replayability with Deliberative and Reactive Planning

Descriptive Note:

Research paper

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY CA INST FOR CREATIVE TECHNOLOGIES

Report Date:

2006-01-01

Pagination or Media Count:

8.0

Abstract:

Opponent behavior in todays computer games is often the result of a static set of Artificial Intelligence AI behaviors or a fixed AI script. While this ensures that the behavior is reasonably intelligent, it also results in very predictable behavior. This can have an impact on the replayability of entertainment-based games and the educational value of training-based games. This paper proposes a move away from static, scripted AI by using a combination of deliberative and reactive planning. The deliberative planning or Strategic AI system creates a novel strategy for the AI opponent before each gaming session. The reactive planning or Tactical AI system executes this strategy in real-time and adapts to the player and the environment. These two systems, in conjunction with a future automated director module, form the Adaptive Opponent Architecture. This paper describes the architecture and the details of the deliberative and reactive planning components.

Subject Categories:

  • Computer Programming and Software
  • Cybernetics
  • Military Operations, Strategy and Tactics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE