High-Level Research Motivation
A novel AI-enabled infrastructure for intelligent agents, enabled with cognitive and social skills.
Our agents will rely on formal and verifiable computational methods, building on research in the intersection of logic, probability and learning
Cognitive Behaviour
Robots that can learn from verbal feedback, observations and actions.
Social Behaviour
Robots that can respond with dynamically-generated justified recommendations.
Reasoning
Robots that can perform common sense reasoning.
Research Fields
The innovative aspect of the SoCoLA project emerges from the adaptation of methodologies from mature research fields in Computer Science within the new context of Social Robotics.
Logic-based Reasoning
Semantic Web
Computational Argumentation
Computer Vision
Machine Learning
Inductive Logic Programming
Use cases
Dialectical Interactions in a Domestic Setting
Explanatory dialogues: extract causal properties of domestic objects
Exploratory dialogues: understand the usage of objects Argumentatie dialogues: provide justified recommendations Read more
People
The consortium of the SoCoLA project brings together expertise from diverse research fields and institutions.
Theodore Patkos
Postdoctoral Researcher
Information Systems Laboratory, FORTH-ICS
SoCoLA Principal Investigator
Filippos Gouidis
PhD Student
Information Systems Laboratory, FORTH-ICS
Alexandros Vassiliades
PhD Student
Department of Informatics, Aristotle University of Thessaloniki
Antonis Bikakis
Associate Professor
Department of Information Studies, UCL
Giorgos Flouris
Researcher (Grade-B)
Information Systems Laboratory, FORTH-ICS
Antonis Argyros
Professor, Researcher
Computer Science Department, University of Crete
Computational Vision and Robotics Lab, FORTH-ICS
Dimitris Plexousakis
Professor, Researcher
Computer Science Department, University of Crete
Director of FORTH-ICS
Nick Bassiliades
Professor
Department of Informatics, Aristotle University of Thessaloniki
Latest News
Paper accepted at SEMANTiCS 2021
Our paper “Object-Action Association Extraction from Knowledge Graphs” by Alexandros Vassiliades, Theodore Patkos, Vasilis Efthymiou,[…]
Paper accepted at IJCAI-21!
Our paper “Abstract Argumentation Frameworks with Domain Assignments” by A. Vassiliades, Th. Patkos, G. Flouris,[…]
Journal Paper Published
Our paper “Argumentation and explainable artificial intelligence: A survey. by Alexandros Vassiliades, Nick Bassiliades, and[…]
