7 citations · 25 across the 22 of their papers we have counts for
12 papers · 1 filter
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…
Responsibility in a Multi-Value Strategic Setting
Timothy Parker, Umberto Grandi, Emiliano Lorini
Responsibility is a key notion in multi-agent systems and in creating safe, reliable and ethical AI. However, most previous work on responsibility has only considered responsibilit…
Computational Grounding of Responsibility Attribution and Anticipation in LTLf
Giuseppe De Giacomo, Emiliano Lorini, Timothy Parker +1
Responsibility is one of the key notions in machine ethics and in the area of autonomous systems. It is a multi-faceted notion involving counterfactual reasoning about actions and…
Anticipating Responsibility in Multiagent Planning
Timothy Parker, Umberto Grandi, Emiliano Lorini
Responsibility anticipation is the process of determining if the actions of an individual agent may cause it to be responsible for a particular outcome. This can be used in a multi…
Base-based Model Checking for Multi-Agent Only Believing (long version)
Tiago de Lima, Emiliano Lorini, François Schwarzentruber
We present a novel semantics for the language of multi-agent only believing exploiting belief bases, and show how to use it for automatically checking formulas of this language and…
Modelling and Explaining Legal Case-based Reasoners through Classifiers
Xinghan Liu, Emiliano Lorini, Antonino Rotolo +1
This paper brings together two lines of research: factor-based models of case-based reasoning (CBR) and the logical specification of classifiers. Logical approaches to classifiers…