基本信息
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Career Trajectory
Bio
Engineering socially intelligent agents is the overarching theme of Pradeep’s research. He envisions computing systems as sociotechnical systems that support rich interactions between humans and computational agents, enabling a variety of individual and societal applications. Pradeep’s works seek to develop (1) cognitive abstractions (e.g., values, norms, trust, and contexts) for systematically engineering sociotechnical systems; (2) techniques support rich interactions among humans and agents (many-to-many), e.g., via negotiation and deliberation, and (3) data-driven methods for supporting decision making by intelligent agents in a multiagent setting.
Research Interests
Papers共 96 篇Author StatisticsCo-AuthorSimilar Experts
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Conference on Empirical Methods in Natural Language Processingpp.18537-18555, (2024)
Resilience Through Digital Innovation: Enabling the Twin Transition (2024)
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMSno. 2 (2024)
Davide Grossi,Ulrike Hahn,Michael Mäs, Andreas Nitsche, Jan Behrens,Niclas Boehmer,Markus Brill,Ulle Endriss,Umberto Grandi,Adrian Haret,Jobst Heitzig, Nicolien Janssens,Catholijn M. Jonker,Marijn A. Keijzer,Axel Kistner,Martin Lackner, Alexandra Lieben,Anna Mikhaylovskaya,Pradeep K. Murukannaiah,Carlo Proietti,Manon Revel, Élise Rouméas,Ehud Shapiro,Gogulapati Sreedurga, Björn Swierczek,Nimrod Talmon,Paolo Turrini, Zoi Terzopoulou,Frederik Van De Putte
CoRR (2024)
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International Conference on Autonomous Agents and Multiagent Systemspp.434-443, (2024)
arXiv (Cornell University) (2024)
Roger X. Lera-Leri,Enrico Liscio,Filippo Bistaffa,Catholijn M. Jonker,Maite Lopez-Sanchez,Pradeep K. Murukannaiah, JuanA. Rodriguez-Aguilar,Francisco Salas-Molina
KNOWLEDGE-BASED SYSTEMS (2024)
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2024): 1187-1222
International Conference on Hybrid Human-Artificial Intelligencepp.481-484, (2024)
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Author Statistics
#Papers: 96
#Citation: 850
H-Index: 19
G-Index: 28
Sociability: 5
Diversity: 2
Activity: 31
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