TY - JOUR
T1 - Reasoning and interaction for social artificial intelligence
AU - Black, Elizabeth
AU - Brandão, Martim
AU - Cocarascu, Oana
AU - De Keijzer, Bart
AU - Du, Yali
AU - Long, Derek
AU - Luck, Michael
AU - McBurney, Peter
AU - Meroño-Peñuela, Albert
AU - Miles, Simon
AU - Modgil, Sanjay
AU - Moreau, Luc
AU - Polukarov, Maria
AU - Rodrigues, Odinaldo
AU - Ventre, Carmine
N1 - Publisher Copyright:
© 2022 - IOS Press. All rights reserved.
PY - 2022/9/20
Y1 - 2022/9/20
N2 - Current work on multi-agent systems at King's College London is extensive, though largely based in two research groups within the Department of Informatics: the Distributed Artificial Intelligence (DAI) thematic group and the Reasoning & Planning (RAP) thematic group. DAI combines AI expertise with political and economic theories and data, to explore social and technological contexts of interacting intelligent entities. It develops computational models for analysing social, political and economic phenomena to improve the effectiveness and fairness of policies and regulations, and combines intelligent agent systems, software engineering, norms, trust and reputation, agent-based simulation, communication and provenance of data, knowledge engineering, crowd computing and semantic technologies, and algorithmic game theory and computational social choice, to address problems arising in autonomous systems, financial markets, privacy and security, urban living and health. RAP conducts research in symbolic models for reasoning involving argumentation, knowledge representation, planning, and other related areas, including development of logical models of argumentation-based reasoning and decision-making, and their usage for explainable AI and integration of machine and human reasoning, as well as combining planning and argumentation methodologies for strategic argumentation.
AB - Current work on multi-agent systems at King's College London is extensive, though largely based in two research groups within the Department of Informatics: the Distributed Artificial Intelligence (DAI) thematic group and the Reasoning & Planning (RAP) thematic group. DAI combines AI expertise with political and economic theories and data, to explore social and technological contexts of interacting intelligent entities. It develops computational models for analysing social, political and economic phenomena to improve the effectiveness and fairness of policies and regulations, and combines intelligent agent systems, software engineering, norms, trust and reputation, agent-based simulation, communication and provenance of data, knowledge engineering, crowd computing and semantic technologies, and algorithmic game theory and computational social choice, to address problems arising in autonomous systems, financial markets, privacy and security, urban living and health. RAP conducts research in symbolic models for reasoning involving argumentation, knowledge representation, planning, and other related areas, including development of logical models of argumentation-based reasoning and decision-making, and their usage for explainable AI and integration of machine and human reasoning, as well as combining planning and argumentation methodologies for strategic argumentation.
KW - agent-based simulation
KW - Argumentation
KW - dialogue protocols
KW - multi-agent reinforcement learning
KW - norms
KW - strategic interaction
UR - http://www.scopus.com/inward/record.url?scp=85140832900&partnerID=8YFLogxK
U2 - 10.3233/AIC-220133
DO - 10.3233/AIC-220133
M3 - Article
AN - SCOPUS:85140832900
SN - 0921-7126
VL - 35
SP - 309
EP - 325
JO - AI COMMUNICATIONS
JF - AI COMMUNICATIONS
IS - 4
ER -
