A Logic for Policy Based Resource Exchanges in Multiagent Systems

TY - CHAP

T1 - A Logic for Policy Based Resource Exchanges in Multiagent Systems

AU - Ceragioli, Lorenzo

AU - Degano, Pierpaolo

AU - Galletta, Letterio

AU - Viganò, Luca

PY - 2024/7/4

Y1 - 2024/7/4

N2 - In multiagent systems autonomous agents interact with each other to achieve individual and collective goals. Typical interactions concern negotiation and agreement on resource exchanges. Modeling and formalizing these agreements pose significant challenges, particularly in capturing the dynamic behaviour of agents, while ensuring that resources are correctly handled. Here, we propose exchange environments as a formal setting where agents specify and obey exchange policies, which are declarative statements about what resources they offer and what they require in return. Furthermore, we introduce a decidable extension of the computational fragment of linear logic as a fundamental tool for representing exchange environments and studying their dynamics in terms of provability.

AB - In multiagent systems autonomous agents interact with each other to achieve individual and collective goals. Typical interactions concern negotiation and agreement on resource exchanges. Modeling and formalizing these agreements pose significant challenges, particularly in capturing the dynamic behaviour of agents, while ensuring that resources are correctly handled. Here, we propose exchange environments as a formal setting where agents specify and obey exchange policies, which are declarative statements about what resources they offer and what they require in return. Furthermore, we introduce a decidable extension of the computational fragment of linear logic as a fundamental tool for representing exchange environments and studying their dynamics in terms of provability.

M3 - Conference paper

BT - 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

ER -