"The design and evaluation of mechanisms for aggregating preferences is a central problem in Multi-Agent Systems (MAS). In such setting, we need to be able to aggregate individual preferences, which are conflicting when agents are...
"The design and evaluation of mechanisms for aggregating preferences is a central problem in Multi-Agent Systems (MAS). In such setting, we need to be able to aggregate individual preferences, which are conflicting when agents are self-interested. More importantly, the mechanism should choose a socially desirable (or ""good"") outcome and reach an equilibrium despite the fact that agents can lie about their preferences. The real-world applications of designing and verifying mechanisms for social choice are manifold, including fair division protocols, secure voting, and truth-tracking via approval voting. Although logic-based languages have been widely used for verification and synthesis of MAS, the use of formal methods for reasoning about auctions under strategic behavior as well as automated mechanism design has not been much explored yet. An advantage in adopting such perspective lies in the high expressivity and generality of logics for strategic reasoning. Moreover, by relying on precise semantics, formal methods provide tools for rigorously analyzing the correctness of systems, which is important to improve trust in mechanisms generated by machines. This project aims to design a logical framework based on Strategy Logic (SL) for formally verifying and designing mechanisms for social choice. More specifically, we aim at (i) proposing an approach addressing the probabilistic setting (with Bayesian information, stochastic transitions and mixed strategies); (ii) identifying fragments of SL that enjoy both good complexity and satisfying expressive power for being applied to classes of mechanisms; (iii) modeling and reasoning about relevant problems from the state-of-the-art in computational social choice using the proposed logical framework; and (iv) methodically studying the obtained fragments in relation to the expressivity, model-checking and satisfiability problems."ver más
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.