Emiliano Lorini
Scholar

Emiliano Lorini

Google Scholar ID: CJFRwGsAAAAJ
CNRS Research Director (DR2), IRIT (CNRS-UT3), TMBI (Univ.Toulouse)
Logicartificial intelligencegame theorymulti-agent systems
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Citations & Impact
All-time
Citations
1,584
 
H-index
21
 
i10-index
50
 
Publications
20
 
Co-authors
0
 
Publications
5 items
Binary Spiking Neural Networks as Causal Models
2026
Cited
0
FrameNet Semantic Role Classification by Analogy
2026
Cited
0
Evaluating LLM Alignment With Human Trust Models
2026
Cited
0
Graded Distributed Belief
2025
Cited
0
A Non-Interventionist Approach to Causal Reasoning based on Lewisian Counterfactuals
2025
Cited
0
Resume
Background
  • The general aim of his research is to develop formal models of interaction between cognitive agents.
  • Primarily works in artificial intelligence (AI) with strong interdisciplinary connections to economics, philosophy, and cognitive science.
  • Uses logic and game theory as formal tools to model interactions among cognitive agents.
  • Focuses on both expressivity and computational aspects of formal interaction models, including axiomatizability, completeness, decidability, and complexity.
  • Develops decision procedures (e.g., for satisfiability and model checking) to enable automated reasoning and decision-making in artificial agents.
  • Current research topics include: logics for autonomous and multi-agent systems, epistemic and cognitive/emotional logics, cognitive and epistemic planning, machine ethics, epistemic game theory, models of influence and persuasion, opinion diffusion in social networks, multi-agent learning, and logic-based explainable AI.