Proposte

There are several possible projects on disparate topics, categorised below. Roughly, each first-level dot corresponds to a project.

Argumentation in MAS

Charting the Path to Ethical Excellence: Navigating Fair-by-Design Architecture for MAS
Fairness in Cooperative Multi-Agent Systems: Examining the Impact of Algorithmic Bias on Collaborative Decision-Making
Adversarial Learning for Fairness in Multi-Agent Reinforcement Learning: Mitigating Discrimination in Cooperative Environments
Fair Resource Allocation in Multi-Agent Systems: Balancing Efficiency and Equity
Exploring Fairness Trade-Offs in Multi-Agent Negotiation: An Investigation of Pareto Optimality and Social Welfare
Fairness-Aware Task Allocation in Multi-Agent Systems: Towards Equitable Workload Distribution and Outcome Optimization
Syntetich images generation and fair decision algorithms in skin disease prediction

Design, prototype, and assess a novel symbolic knowledge extraction algorithm that supports recursive rules.

Study, design, and implement the [Lyrics] symbolic knowledge injection algorithm. An implementation of Lyrics already exists but it is quite old and not mantained.
Study, design, and implement the [Fibred NN] symbolic knowledge injection algorithm.
Study, design, and implement the [GRAM] symbolic knowledge injection algorithm.
Study, design, and implement the [Knowledge-aware object detection] symbolic knowledge injection algorithm.
Study, design, and implement the [Semantic loss function] symbolic knowledge injection algorithm.
Design and implement the extension of the [PSyKI] library to support graph structured data and graph processing through deep learning frameworks (e.g., [Tensorflow-GNN]). Graph structured data must be supported both from the data domain (under the form of collections of graphs) and the knowledge domain (under the form of ontologies).
Design, prototype, and assess a novel knowledge base quality metric that defines the coverage of a given knowledge base w.r.t. a given dataset. The proposed metric should be integrated in the [PSyKI] library.
Design and implement the extension of the [PSyKI] library to support complex-structured datasets such as images, texts, etc. The extension should consider checking if the imported dataset type is compatible with the selected injection mechanism and its corresponding knowledge.

References