Paper Info
Title
Evolutionary Approach to Negotiation in Game AI
Abstract
As modern games become more and more sophisticated graphically, so does the level of artificial intelligence that animates them thus, the larger the game budget, the more work is put into improving the AI. Unfortunately many of these games feature AIs that are standalone and do not communicate with each other, they do not try to negotiate in order to improve their individual standing. The current work focuses on analysing existing game types in order to establish types of negotiation that can be achieved between AI entities. Moreover, an evolutionary approach which focuses on achieving negotiation between these entities and tackles the problem of having multiple negotiation items with discrete values is presented.
Year
DOI
Venue
2013
10.1109/SYNASC.2013.46
Symbolic and Numeric Algorithms for Scientific Computing
Keywords
Field
DocType
artificial intelligence,computer games,evolutionary computation,AI game,artificial intelligence,evolutionary approach,multiple negotiation items,Artificial Intelligence,Evolutionary Algorithm,Games,Negotiation
Symbolic artificial intelligence,Computational intelligence,Computer science,Navigation mesh,Artificial psychology,Artificial intelligence,Artificial intelligence, situated approach,Artificial Intelligence System,Negotiation,Applications of artificial intelligence
Conference
ISSN
ISBN
Citations 
2470-8801
978-1-4799-3035-7
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Gabriel Iuhasz1458.02
Victor Ion Munteanu221919.55
Viorel Negru331147.71