Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Lorini, Emiliano"'
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 responsibility for single outcomes. In this paper we present a model for responsibi
Externí odkaz:
http://arxiv.org/abs/2410.17229
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 strategies. In this paper, we study different variants of responsibili
Externí odkaz:
http://arxiv.org/abs/2410.14544
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-agent planning setting to allow agents to anticipate responsibility i
Externí odkaz:
http://arxiv.org/abs/2307.16685
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 of its dynamic extension with private belief expansion operators. We
Externí odkaz:
http://arxiv.org/abs/2307.14893
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 capture the connection between features and outcomes in classifier sys
Externí odkaz:
http://arxiv.org/abs/2210.11217
Autor:
Liu, Xinghan, Lorini, Emiliano
Binary classifiers are traditionally studied by propositional logic (PL). PL can only represent them as white boxes, under the assumption that the underlying Boolean function is fully known. Binary classifiers used in practical applications and train
Externí odkaz:
http://arxiv.org/abs/2210.07161
In this paper we propose a framework for ethical decision making in the context of planning, with intended application to robotics. We put forward a compact but highly expressive language for ethical planning that combines linear temporal logic with
Externí odkaz:
http://arxiv.org/abs/2206.00595
Autor:
Liu, Xinghan, Lorini, Emiliano
Recent years have witnessed a renewed interest in Boolean function in explaining binary classifiers in the field of explainable AI (XAI). The standard approach of Boolean function is propositional logic. We present a modal language of a ceteris parib
Externí odkaz:
http://arxiv.org/abs/2105.14452
Autor:
Lorini, Emiliano
Publikováno v:
Theory and Practice of Logic Programming 21 (2021) 428-458
We present a general logical framework for reasoning about agents' cognitive attitudes of both epistemic type and motivational type. We show that it allows us to express a variety of relevant concepts for qualitative decision theory including the con
Externí odkaz:
http://arxiv.org/abs/2102.11025
In a ceteris-paribus semantics for deontic logic, a state of affairs where a larger set of prescriptions is respected is preferable to a state of affairs where some of them are violated. Conditional preference nets (CP-nets) are a compact formalism t
Externí odkaz:
http://arxiv.org/abs/2003.10480