Francesca Rossi

research

∙ 02/21/2022

Learning Behavioral Soft Constraints from Demonstrations

Many real-life scenarios require humans to make difficult trade-offs: do...

Arie Glazier, et al. ∙

research

∙ 01/19/2022

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data

One of the most remarkable things about the human moral mind is its flex...

Edmond Awad, et al. ∙

research

∙ 01/18/2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments

Current AI systems lack several important human capabilities, such as ad...

Marianna B. Ganapini, et al. ∙

research

∙ 10/05/2021

Thinking Fast and Slow in AI: the Role of Metacognition

AI systems have seen dramatic advancement in recent years, bringing many...

Marianna Bergamaschi Ganapini, et al. ∙

research

∙ 09/22/2021

Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations

Many real-life scenarios require humans to make difficult trade-offs: do...

Arie Glazier, et al. ∙

research

∙ 08/30/2021

Data-driven Small-signal Modeling for Converter-based Power Systems

This article details a complete procedure to derive a data-driven small-...

Francesca Rossi, et al. ∙

research

∙ 07/19/2021

E-PDDL: A Standardized Way of Defining Epistemic Planning Problems

Epistemic Planning (EP) refers to an automated planning setting where th...

Francesco Fabiano, et al. ∙

research

∙ 10/12/2020

Thinking Fast and Slow in AI

This paper proposes a research direction to advance AI which draws inspi...

Grady Booch, et al. ∙

research

∙ 05/13/2020

Personalized Chatbot Trustworthiness Ratings

Conversation agents, commonly referred to as chatbots, are increasingly ...

Biplav Srivastava, et al. ∙

research

∙ 04/05/2020

Learning and Recognizing Archeological Features from LiDAR Data

We present a remote sensing pipeline that processes LiDAR (Light Detecti...

Conrad M Albrecht, et al. ∙

research

∙ 03/23/2020

Modeling Contrary-to-Duty with CP-nets

In a ceteris-paribus semantics for deontic logic, a state of affairs whe...

Roberta Calegari, et al. ∙

research

∙ 09/18/2019

Voting with Random Classifiers (VORACE)

In many machine learning scenarios, looking for the best classifier that...

Cristina Cornelio, et al. ∙

research

∙ 12/17/2018

Using deceased-donor kidneys to initiate chains of living donor kidney paired donations: algorithms and experimentation

We design a flexible algorithm that exploits deceased donor kidneys to i...

Cristina Cornelio, et al. ∙

research

∙ 12/10/2018

Building Ethically Bounded AI

The more AI agents are deployed in scenarios with possibly unexpected si...

Francesca Rossi, et al. ∙

research

∙ 09/21/2018

CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences

Preference are central to decision making by both machines and humans. R...

Andrea Loreggia, et al. ∙

research

∙ 09/21/2018

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Autonomous cyber-physical agents and systems play an increasingly large ...

Ritesh Noothigattu, et al. ∙

research

∙ 09/15/2018

Incorporating Behavioral Constraints in Online AI Systems

AI systems that learn through reward feedback about the actions they tak...

Avinash Balakrishnan, et al. ∙

research

∙ 07/31/2018

Towards Composable Bias Rating of AI Services

A new wave of decision-support systems are being built today using AI se...

Biplav Srivastava, et al. ∙

research

∙ 07/26/2017

Cognitive Hierarchy and Voting Manipulation

By the Gibbard--Satterthwaite theorem, every reasonable voting rule for ...

Edith Elkind, et al. ∙

research

∙ 03/04/2013

Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency

In collective decision making, where a voting rule is used to take a col...

Umberto Grandi, et al. ∙

research

∙ 09/24/2009

Elicitation strategies for fuzzy constraint problems with missing preferences: algorithms and experimental studies

Fuzzy constraints are a popular approach to handle preferences and over-...

Mirco Gelain, et al. ∙

research

∙ 09/24/2009

Dealing with incomplete agents' preferences and an uncertain agenda in group decision making via sequential majority voting

We consider multi-agent systems where agents' preferences are aggregated...

Maria Pini, et al. ∙

research

∙ 09/24/2009

Manipulation and gender neutrality in stable marriage procedures

The stable marriage problem is a well-known problem of matching men to w...

Maria Pini, et al. ∙

research

∙ 05/22/2009

Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques

Many real life optimization problems contain both hard and soft constrai...

Carmel Domshlak, et al. ∙

Francesca Rossi

Featured Co-authors

Toby Walsh

Nicholas Mattei

Edith Elkind

Djallel Bouneffouf

Kartik Talamadupula

Lior Horesh

Joshua Tenenbaum

Biplav Srivastava

Murray Campbell

Iyad Rahwan

Michele Donini

Learning Behavioral Soft Constraints from Demonstrations

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments

Thinking Fast and Slow in AI: the Role of Metacognition

Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations

Data-driven Small-signal Modeling for Converter-based Power Systems

E-PDDL: A Standardized Way of Defining Epistemic Planning Problems

Thinking Fast and Slow in AI

Personalized Chatbot Trustworthiness Ratings

Learning and Recognizing Archeological Features from LiDAR Data

Modeling Contrary-to-Duty with CP-nets

Voting with Random Classifiers (VORACE)

Using deceased-donor kidneys to initiate chains of living donor kidney paired donations: algorithms and experimentation

Building Ethically Bounded AI

CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Incorporating Behavioral Constraints in Online AI Systems

Towards Composable Bias Rating of AI Services

Cognitive Hierarchy and Voting Manipulation

Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency

Elicitation strategies for fuzzy constraint problems with missing preferences: algorithms and experimental studies

Dealing with incomplete agents' preferences and an uncertain agenda in group decision making via sequential majority voting

Manipulation and gender neutrality in stable marriage procedures

Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques