research
∙
07/14/2023
Value-based Fast and Slow AI Nudging
Nudging is a behavioral strategy aimed at influencing people's thoughts ...
share
research
∙
05/25/2023
Understanding the Capabilities of Large Language Models for Automated Planning
Automated planning is concerned with developing efficient algorithms to ...
research
∙
03/07/2023
Fast and Slow Planning
The concept of Artificial Intelligence has gained a lot of attention ove...
research
∙
01/21/2023
Convergence of Multi-Issue Iterative Voting under Uncertainty
We study the effect of strategic behavior in iterative voting for multip...
research
∙
12/16/2022
Plansformer: Generating Symbolic Plans using Transformers
Large Language Models (LLMs) have been the subject of active research, s...
research
∙
02/21/2022
Learning Behavioral Soft Constraints from Demonstrations
Many real-life scenarios require humans to make difficult trade-offs: do...
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...
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...
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...
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...
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-...
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...
research
∙
10/12/2020
Thinking Fast and Slow in AI
This paper proposes a research direction to advance AI which draws inspi...
research
∙
05/13/2020
Personalized Chatbot Trustworthiness Ratings
Conversation agents, commonly referred to as chatbots, are increasingly ...
research
∙
04/05/2020
Learning and Recognizing Archeological Features from LiDAR Data
We present a remote sensing pipeline that processes LiDAR (Light Detecti...
research
∙
03/23/2020
Modeling Contrary-to-Duty with CP-nets
In a ceteris-paribus semantics for deontic logic, a state of affairs whe...
research
∙
09/18/2019
Voting with Random Classifiers (VORACE)
In many machine learning scenarios, looking for the best classifier that...
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...
research
∙
12/10/2018
Building Ethically Bounded AI
The more AI agents are deployed in scenarios with possibly unexpected si...
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...
research
∙
09/21/2018
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
Autonomous cyber-physical agents and systems play an increasingly large ...
research
∙
09/15/2018
Incorporating Behavioral Constraints in Online AI Systems
AI systems that learn through reward feedback about the actions they tak...
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...
research
∙
07/26/2017
Cognitive Hierarchy and Voting Manipulation
By the Gibbard--Satterthwaite theorem, every reasonable voting rule for ...
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...
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-...
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...
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...
research
∙
05/22/2009
