8 papers
Binary Spiking Neural Networks as Causal Models
Aditya Kar, Emiliano Lorini, Timothée Masquelier
We provide a causal analysis of Binary Spiking Neural Networks (BSNNs) to explain their behavior. We formally define a BSNN and represent its spiking activity as a binary causal mo…
FrameNet Semantic Role Classification by Analogy
Van-Duy Ngo, Stergos Afantenos, Emiliano Lorini +1
In this paper, we adopt a relational view of analogies applied to Semantic Role Classification in FrameNet. We define analogies as formal relations over the Cartesian product of fr…
Evaluating LLM Alignment With Human Trust Models
Anushka Debnath, Stephen Cranefield, Bastin Tony Roy Savarimuthu +1
Trust plays a pivotal role in enabling effective cooperation, reducing uncertainty, and guiding decision-making in both human interactions and multi-agent systems. Although it is s…
Graded Distributed Belief
Emiliano Lorini, Dmitry Rozplokhas
We introduce a new logic of graded distributed belief that allows us to express the fact that a group of agents distributively believe that a certain fact holds with at least stren…
Can LLMs Reason About Trust?: A Pilot Study
Anushka Debnath, Stephen Cranefield, Emiliano Lorini +1
In human society, trust is an essential component of social attitude that helps build and maintain long-term, healthy relationships which creates a strong foundation for cooperatio…
A Non-Interventionist Approach to Causal Reasoning based on Lewisian Counterfactuals
Carlos Aguilera-Ventura, Xinghan Liu, Emiliano Lorini +1
We present a computationally grounded semantics for counterfactual conditionals in which i) the state in a model is decomposed into two elements: a propositional valuation and a ca…