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Marie desJardins is an American computer scientist, known for her research on artificial intelligence and computer science education. She is also active in broadening participation in computing. DesJardins has explored the effect of the network topology on the efficiency of team formation in multi-agent systems, showing that scale-free networks are often the most effective topologies for facilitating team formation and leading to the development of learning methods for agents to adapt their behavioral strategies.
She has shown the first approach to trust modeling that explicitly separates the effect of competence (that is, the degree to which an agent is able to carry out its commitments) and integrity (that is, the degree to which an agent is actually committed to complete its part of a joint action) on decision making. This framework was later extended to incorporate reputation (indirect observations provided by third-party agents, with applications to online rating systems and supply chain formation.
She has shown the first approach to trust modeling that explicitly separates the effect of competence (that is, the degree to which an agent is able to carry out its commitments) and integrity (that is, the degree to which an agent is actually committed to complete its part of a joint action) on decision making. This framework was later extended to incorporate reputation (indirect observations provided by third-party agents, with applications to online rating systems and supply chain formation.
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THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEno. 06 (2020): 9992-10000
2018 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT)pp.1-4, (2018)
Proceedings of the 49th ACM Technical Symposium on Computer Science Education (2018)
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