4th Workshop on Strategies, Prediction, Interaction, and Reasoning in Italy
Co-located with the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026)
8 October, Perugia, Italy
Over the past fifteen years, research communities in artificial intelligence, algorithmic game theory, theoretical computer science, multi-agent systems, and microeconomics have joined forces to tackle problems involving incentives and computation. Interestingly, while microeconomics provides computer science with the basic models, computer science raises crucial questions related to computation and learning that suggest studying new models. The result is a synergic integration of all the fields. Interestingly, the final goal is the provision of rigorous, theoretical methods to deal with multiple strategic players.
In the last years, these topics have been central in the AI/ML venues, as demonstrated by the many papers awarded with the best paper awards in conferences such as IJCAI and NeurIPS and the AI projects awarded with the Marvin Minsky Medal.
This workshop aims to bring together the wide variety of scientists that AIxIA attracts in order to have a multidisciplinary forum within which to discuss and analyze current and novel challenges.
Paper Submission: July 7th July 13th,2026 (AoE)
Notification: August 1st August 7th, 2026
Camera-Ready Submission: September 30th
For more details, see call for papers
1st Workshop on Strategies, Prediction, Interaction, and Reasoning in Italy (SPIRIT 2022), Udine
2nd Workshop on Strategies, Prediction, Interaction, and Reasoning in Italy (SPIRIT 2023), Rome
3rd Workshop on Strategies, Prediction, Interaction, and Reasoning in Italy (SPIRIT 2024), Bolzano
University of Modena and Reggio Emilia
Abstract
Runtime verification checks the behaviour of a running system against a formal specification. In autonomous and multi-agent systems, however, a monitor may lack relevant observations, face limited sensing or communication resources, or depend on information held by other agents. Even with complete observations, some properties cannot be conclusively assessed from a finite execution prefix. This talk presents two complementary research lines addressing these limitations. The first concerns partial monitoring: recognising when a conclusive verdict has become unreachable and identifying events that no longer contribute to the monitoring task. The second concerns runtime verification under imperfect information, where indistinguishability relations make observational limitations explicit, allowing monitors to distinguish missing information from negative evidence while preserving the soundness of definitive verdicts. Building on this foundation, I will discuss rational monitors that select affordable observations according to the property being checked and revise these choices as execution progresses. I will then turn to rational multi-monitors, where information acquisition becomes a strategic interaction: monitors with their own objectives and resource bounds establish agreements to exchange relevant information. Examples from robotic inspection and smart homes will illustrate this progression, connecting runtime verification with resource-bounded strategic reasoning. The central question throughout is how a monitor can determine when to stop, what to observe, and whom to ask.
D'Annunzio University of Chieti–Pescara
Abstract
We introduce a new notion of deterministic stable solution for non-cooperative games, termed subsidized equilibrium. It assumes that an amount of money can be used as a pool of subsidies to stabilize a strategy profile that otherwise would not be accepted by (some of) the players. Roughly speaking, for a given amount of money, a strategy profile is a subsidized equilibrium if the total payoff loss incurred by players not playing best-responses does not exceed that amount, i.e., there is enough money to refund all players experiencing a regret. With respect to many other solution concepts in the literature, the notion of subsidized equilibrium has important advantages. Specifically, for a sufficiently high amount of money, a subsidized equilibrium always exists and can even be computed in polynomial time; also, existence of an efficient subsidized equilibrium can be guaranteed. Thus, determining for which amounts existence, polynomial time computability and efficiency can or cannot be achieved becomes an intriguing question. We provide initial results towards this direction for some widely studied classes of games.