作者: The Anh Han , Luís Moniz Pereira , Francisco C. Santos , Tom Lenaerts
DOI: 10.3233/AIC-150672
关键词: Collusion 、 Presentation 、 Evolutionary game theory 、 Cognition 、 Evolutionary psychology 、 Error tolerance 、 Computer science 、 Artificial intelligence 、 Variety (cybernetics) 、 Stability (learning theory) 、 Cognitive psychology
摘要: The mechanisms of emergence and evolution cooperation in populations abstract individuals, with diverse behavioral strategies co-presence, have been undergoing mathematical study via evolutionary game theory, inspired part on psychology. Their systematic resorts to simulation techniques, thus enabling the aforesaid under a variety conditions, parameters alternative virtual games. theoretical experimental results continually surprising, rewarding promising. In our recent work, we initiated introduction, such groups cognitive abilities techniques theories Artificial Intelligence, namely those pertaining Intention Recognition, Commitment Apology (separately jointly), encompassing errors decision-making communication noise. As result, both stability become reinforced comparatively absence abilities. This holds separately for Apology, even more so when they are jointly engaged. Our presentation aims sensitize reader these theory based issues, prospects, which accruing importance modeling minds machines, impact understanding mutual tolerance cooperation. Recognition someone's intentions, may include imagining recognition others own comprise not just some error tolerance, but also penalty unfulfilled commitment though allowing apology, can lead stable win/win equilibriums within perhaps amongst groups. manifestation plus assumption commitment-even whilst paying cost putting it place-and acceptance all facilitators that respect, each them singly and, above all, collusion.