Per livello
18
tesi di dottorato
/
Andrea Omicini
- Argumentation for Legal Reasoning: Meta-models, Technology and Beyond (04/07/2024) — Giuseppe Pisano
- Embedding AI into Constrained Devices: A Multi-Faceted Approach (24/06/2024) — Andrea Agiollo
- On the role of Computational Logic in Data Science: representing, learning, reasoning, and explaining knowledge (16/06/2022) — Giovanni Ciatto
- Micro-Intelligence for the IoT: Logic-Based Models and Technologies (20/04/2018) — Roberta Calegari
- Coordination Issues in Complex Socio-Technical Systems: Self-Organisation of Knowledge in MoK (13/05/2016) — Stefano Mariani
- Dynamic Interaction Spaces and Situated Multi-Agent Systems: From a Multi-Layered Model to a Distributed Architecture (15/02/2015) — Giuseppe Vizzari
- Multi-level models and infrastructures for simulating biological system development (28/04/2011) — Sara Montagna
- Semantic Coordination Through Programmable Tuple Spaces (28/04/2011) — Elena Nardini
- Law and Science through the Lens of Patent Law and Software Agents (14/07/2010) — Migle Laukyte
- Designing and Programming Organizational Infrastructures for Agents situated in Artifact-based Environments (30/04/2010) — Michele Piunti
- Constructs and Applications of Generic Programming in Object-Oriented Languages (30/04/2010) — Maurizio Cimadamore
- Self-organising coordination systems (08/09/2009) — Matteo Casadei
- Meta-models, environment and layers: agent-oriented engineering of complex systems (07/04/2008) — Ambra Molesini
- Argumentation and artifacts for intelligent multi-agent systems (07/04/2008) — Enrico Oliva
- Engineering Self-organising Systems with the Multi-Agent Paradigm (02/04/2008) — Luca Gardelli
- Engineering Agent Societies with Coordination Artifacts and Supporting Infrastructures (15/04/2004) — Alessandro Ricci
- Coordination of Heterogeneous Multi-Agent Systems: Programming the Interaction (20/02/1998) — Enrico Denti
- Towards an integration of learning and reasoning in agent and multi-agent systems — Andrea Rafanelli
0000-0002-6655-3869