Learning Social Calculus with Genetic Programing

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/flairs/KhanSBFB13,

• author = "Saad Ahmad Khan and Jonathan Streater and Taranjeet Singh Bhatia and Steve Fiore and Ladislau Boloni",
• title = "Learning Social Calculus with Genetic Programing",
• booktitle = "Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013",
• year = "2013",
• editor = "Chutima Boonthum-Denecke and G. Michael Youngblood",
• address = "St. Pete Beach, Florida, USA",
• month = may # " 22-24",
• publisher = "AAAI Press",
• keywords = "genetic algorithms, genetic programming, GPLab, Matlab, CSSM, Symbolic regression for AIFs",
• timestamp = "Wed, 03 Feb 2021 08:32:36 +0100",
• biburl = "https://dblp.org/rec/conf/flairs/KhanSBFB13.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/view/5898",
• URL = "https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/download/5898/6047",
• size = "6 pages",
• abstract = "Physical or simulated agents sharing an environment with humans must evaluate the impact of their own and other agents actions in the specific social and cultural context. It is desirable that this social calculus aligns itself with the models developed in sociology and psychology, however, it needs to be expressed in an operational, algorithmic form, suitable for implementation.While we can develop the framework of social calculus based on psychological theories of human behaviour, the actual form of the algorithms can only be acquired from the knowledge of the specific culture. we consider social calculus based on culture-sanctioned social values (CSSMs). A critical component of this model is the set of action-impact functions (AIFs), which describe how the actions of the agents change the CSSMs in specific settings. We describe a technique to evolve the AIFs using genetic programming based on a limited set of data pairs which can be obtained by surveying humans immersed in the specific culture. We describe the proposed model through a scenario involving a group of soldiers and a robot acting on a peacekeeping mission",
• notes = "Department of Electrical Engineering and Computer Science, University of Central Florida 4000 Central Florida Blvd, Orlando FL 32816, USA",

}

Genetic Programming entries for Saad Ahmad Khan Jonathan Streater Taranjeet Singh Bhatia Stephen M Fiore Ladislau Boloni

Citations