scholarly journals The International 
General Game Playing Competition

AI Magazine ◽  
2013 ◽  
Vol 34 (2) ◽  
pp. 107 ◽  
Author(s):  
Michael Genesereth ◽  
Yngvi Björnsson
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
General Problem ◽  
Game Playing ◽  
Test Bed ◽  
General Game Playing ◽  
Research Challenges ◽  
History Of ◽  
World Class ◽  
General Game

Games have played a prominent role as a test-bed for advancements in the field of Artificial Intelligence ever since its foundation over half a century ago, resulting in highly specialized world-class game-playing systems being developed for various games. The establishment of the International General Game Playing Competition in 2005, however, resulted in a renewed interest in more general problem solving approaches to game playing. In general game playing (GGP) the goal is to create game-playing systems that autonomously learn how to skillfully play a wide variety of games, given only the descriptions of the game rules. In this paper we review the history of the competition, discuss progress made so far, and list outstanding research challenges.

scholarly journals AAAI-08 and IAAI-08 Conferences Provide Focal Point for AI

AI Magazine ◽  
2009 ◽  
Vol 30 (1) ◽  
pp. 87
Author(s):  
Sara Reese Hedberg
Keyword(s):  
Artificial Intelligence ◽  
Poster Session ◽  
Intelligent System ◽  
Focal Point ◽  
Game Playing ◽  
General Game Playing ◽  
General Game ◽  
The Web ◽  
Applications Of Ai

This summer's AAAI Conference on Artificial Intelligence (AAAI-08) and its sister Conference on Innovative Applications of AI (IAAI-08) continued their long tradition of being a focal point of AI. This year's conferences were held in Chicago at the Hyatt Regency McCormick Place, July 13-17, 2008. The multidimensional conference offerings included nine invited talks, 251 technical papers, 22 innovative applications of AI papers, three competitions (poker, AI video, and general game playing), three special tracks (AI and the web, integrated intelligence, and physically grounded AI), 15 tutorials, 15 workshops, and 11 intelligent system demonstrations, as well as a number of awards, a doctoral consortium, student poster session and programs, and a vendor exhibit. This translated into a plethora of choices for the 921 conference attendees. An additional 175 people exclusively attended the tutorials, workshops, or exhibit.

Comparative Analysis of Three General Game Players

2010 ◽  
Vol 143-144 ◽  
pp. 1117-1121
Author(s):  
Zhen Dong Li ◽  
Li Chao Feng ◽  
Shu Qing Zheng ◽  
Dian Xuan Gong
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Game Playing ◽  
General Game Playing ◽  
Advantages And Disadvantages ◽  
Key Features ◽  
Game Players ◽  
General Game ◽  
Insight Into

This paper presents the cases of three Association for the Advancement of Artificial Intelligence (AAAI) General Game Playing (GGP) Competition winners named Clune player, Flux player and CADIA Player in detail. The paper describes architectures of three players and how they work. The paper gives insight into the approaches the three players take and key features of their models. Lastly, this paper makes further analysis about the advantages and disadvantages of the three players’ models and makes some comparisons among the three players.

scholarly journals Invariant Projections in Games

10.29007/z5zn ◽  
2018 ◽  
Author(s):  
Abhijeet Mohapatra ◽  
Bertrand Decoster ◽  
Sudhir Agarwal ◽  
Michael Genesereth
Keyword(s):  
Artificial Intelligence ◽  
Dynamic Systems ◽  
Fundamental Problem ◽  
Finite State Machines ◽  
State Machines ◽  
Game Playing ◽  
General Game Playing ◽  
Finite State ◽  
Game Players ◽  
General Game

Identification of implicit structures in dynamic systems is a fundamental problem in Artificial Intelligence. In this paper, we focus on General Game Playing where games are modeled as finite state machines. We define a new property of game states called invariant projections which strongly corresponds to humans' intuition of game boards and may be applied in General Game Playing to support powerful heuristics, and to automate the design of game visualizations. We prove that the computation of invariant projections is Pi_{2}^{P}-complete in the size of the game description. We also show that invariant projections form a lattice, and the lattice ordering may be used to reduce the time to compute invariant projections potentially by a factor that is exponential in the schema size of game states. To enable competitive general game players to efficiently identify boards, we propose a sound (but incomplete) heuristic for computing invariant projections and evaluate its performance.

Testing Hybrid Computational Intelligence Algorithms for General Game Playing

2020 ◽  
pp. 446-460
Author(s):  
A. E. Vázquez-Núñez ◽  
A. J. Fernández-Leiva ◽  
P. García-Sánchez ◽  
A. M. Mora
Keyword(s):  
Computational Intelligence ◽  
Game Playing ◽  
General Game Playing ◽  
General Game

General Game Playing with Ants

2008 ◽  
pp. 381-390 ◽  
Author(s):  
Shiven Sharma ◽  
Ziad Kobti ◽  
Scott Goodwin
Keyword(s):  
Game Playing ◽  
General Game Playing ◽  
General Game

Artificial Intelligence

2019 ◽  
pp. 13-22
Author(s):  
Steven Walczak
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Intelligent Machines ◽  
History Of ◽  
Future Research Directions ◽  
New Research

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.

Sign in / Sign up

Export Citation Format

Share Document