Normative Multiagent Systems: A Dynamic Generalization
Xiaowei Huang, Ji Ruan, Qingliang Chen, Kaile Su

TL;DR
This paper introduces a dynamic normative system for multiagent coordination, allowing reasoning about norm changes under varying circumstances, addressing limitations of static systems.
Contribution
It presents a novel dynamic normative framework and analyzes the computational complexity of norm synthesis and recognition problems.
Findings
Proposes a dynamic normative system for multiagent coordination
Characterizes the computational complexity of key normative problems
Addresses limitations of static normative systems
Abstract
Social norms are powerful formalism in coordinating autonomous agents' behaviour to achieve certain objectives. In this paper, we propose a dynamic normative system to enable the reasoning of the changes of norms under different circumstances, which cannot be done in the existing static normative systems. We study two important problems (norm synthesis and norm recognition) related to the autonomy of the entire system and the agents, and characterise the computational complexities of solving these problems.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation · Semantic Web and Ontologies
