Normative Systems in Computer Science - Ten Guidelines for Normative Multiagent Systems
In this paper we introduce and discuss ten guidelines for the use of normative systems in computer science. We adopt a multiagent sys- tems perspective, because norms are used to coordinate, organize, guide, regulate or control interaction among distributed autonomous systems.
Boella, Guido +2 more
openaire +5 more sources
WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero. [PDF]
Zhai M +7 more
europepmc +1 more source
Multiagent First-Person Perspective Analysis for Leadership Assessment in Pediatric Emergency Simulations: A Feasibility Study. [PDF]
Nozawa H +6 more
europepmc +1 more source
A Systematic Literature Review on Integrated Deep Learning and Multiagent Vision-Language Frameworks for Pathology Image Analysis and Report Generation. [PDF]
Ali U +6 more
europepmc +1 more source
Large Language Model-Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review. [PDF]
Li D, Lebai Lutfi S.
europepmc +1 more source
BioRAGent: natural language biomedical querying with retrieval-augmented multiagent systems. [PDF]
Bi M +7 more
europepmc +1 more source
Collective artificial intelligence and evolutionary dynamics. [PDF]
Sehwag UM, McAvoy A, Plotkin JB.
europepmc +1 more source
Greater than the sum of our parts: The new division of labor in design with AI. [PDF]
Menold J +3 more
europepmc +1 more source
Neurodivergent influenceability in agentic AI as a contingent solution to the AI alignment problem. [PDF]
Hernández-Espinosa A +3 more
europepmc +1 more source
Artificial intelligence agents in orthopaedics: Concepts, capabilities and the road ahead. [PDF]
Oettl FC +9 more
europepmc +1 more source

