منابع مشابه
Real-Time Strategy Game Competitions
106 AI MAGAZINE RTS games — such as StarCraft by Blizzard Entertainment and Command and Conquer by Electronic Arts — are popular video games that can be described as real-time war simulations in which players delegate units under their command to gather resources, build structures, combat and support units, scout opponent locations, and attack. The winner of an RTS game usually is the player or...
متن کاملCo-evolving Real-Time Strategy Game Micro
We investigate competitive co-evolution of unit micromanagement in real-time strategy games. Although good longterm macro-strategy and good short-term unit micromanagement both impact real-time strategy games performance, this paper focuses on generating quality micro. Better micro, for example, can help players win skirmishes and battles even when outnumbered. Prior work has shown that we can ...
متن کاملA Review of Real-Time Strategy Game AI
This literature review covers AI techniques used for real-time strategy video games, focusing specifically on StarCraft. It finds that the main areas of current academic research are in tactical and strategic decision-making, plan recognition, and learning, and it outlines the research contributions in each of these areas. The paper then contrasts the use of game AI in academia and industry, fi...
متن کاملExperiments with Game Tree Search in Real-Time Strategy Games
Game tree search algorithms such as minimax have been used with enormous success in turn-based adversarial games such as Chess or Checkers. However, such algorithms cannot be directly applied to real-time strategy (RTS) games because a number of reasons. For example, minimax assumes a turn-taking game mechanics, not present in RTS games. In this paper we present RTMM, a real-time variant of the...
متن کاملThe Real-Time Strategy Game Multi-Objective Build Order Problem
In this paper we examine the build order problem in real-time strategy (RTS) games in which the objective is to optimize execution of a strategy by scheduling actions with respect to a set of subgoals. We model the build order problem as a multi-objective problem (MOP), and solutions are generated utilizing a multiobjective evolutionary algorithm (MOEA). A three dimensional solution space is pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: AI Magazine
سال: 2012
ISSN: 2371-9621,0738-4602
DOI: 10.1609/aimag.v33i3.2419