Objective
I propose to develop a general framework to analyze the dynamics of social and economic interaction between intelligent agents, who may nonetheless be affected by their emotions and exhibit time inconsistent preferences. A crucial aspect of the analysis is modelling how agents form and change their beliefs about the environment and about each other, including beliefs about beliefs. The reason is twofold; first, in order to reason strategically, agents try to figure out how other agents think; second, emotions triggered by beliefs, including beliefs about the beliefs and intentions of other agents, may affect choice. Another essential ingredient is the impossibility to commit (even covertly) to any particular contingent course of action, unless such irreversible commitment is allowed by the rules of the game. Intelligent agents with non-Bayesian attitudes toward uncertainty, disappointment aversion, present-bias, and other realistic psychological features should take this into account when planning. This leads to a distinction between actual behaviour and plans, which is essential to express the concept of intentionality and hence the ability to assess the intentionality of other agents’ observed actions. Such assessment is important to figure out the likely future moves of a co-player in a game, or his private information, as well as for the cognitive appraisal that may affect emotional reactions to positive or aversive events in social and economic environments.
Developing such methodology is one part of the project of independent interest. Next, I plan to apply it to specific problems such as the analysis of (i) learning and stable patterns of behaviour when agents are ambiguity averse, (ii) the sources and consequences of emotions like anger in social environments, and (iii) how non-binding agreements may induce interactive beliefs that make them self-enforcing.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2012-ADG_20120411
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Host institution
20136 Milano
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.