29th Irish Conference on Artificial Intelligence and Cognitive Science

December 9-10, 2021
University College Dublin

Conference Programme

Author Instructions and Dates

Conference Proceedings

About AICS 2021

The 29th Irish Conference on Artificial Intelligence and Cognitive Science (AICS2021) will be hosted by the School of Computer Science of the University College Dublin (UCD). The conference will be fully online this year.

New This year, we will also invite selected papers to be extended and submitted to a special issue in The Wiley Journal Expert Systems: The Journal of Knowledge Engineering.

With regular conferences dating back to 1988, the AICS Conference is Ireland’s primary forum for researchers with interests in the fields of Artificial Intelligence and Cognitive Science. While once a niche area, the fields of Cognitive Science and Artificial Intelligence, which encompass Data Analytics, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry.

Call for Papers

The Program Committee of AICS 2021 invites submissions in the broad areas of Artificial Intelligence and Cognitive Science. Areas of interest include, but are not restricted to:

Machine Learning

Sueprvised Learning
Ensemble Learning
Meta Learning
Reinforcement Learning

Cognitive Science

Decision Making
Creative Cognition


Computer Vision
Natural Language Processing
Recommender Systems

Deep Learning

Network Architectures
Deep Generative Modelling
Graph Neural Networks

AI Ethics

Moral Judgement

Learning Theory

Bayesian Methods
Game Theory
Complexity Analysis

Semantic Web

Knowledge Graphs
Social Network Analysis

We also seek papers which report on in-use experiences (design, engineering, deployment, utility, and challenges) of AI-based systems. Application-centric papers in related domains such as opinion mining, adaptive information systems, robotics, chatbots, game-playing, visual analytics, intelligent infrastructures, digital twins, and smart environments are welcome.

We invite three types of submissions.

  • Full Paper Track: Full paper submissions should consist of original contributions (describing either fundamental basic research, interesting applications, in-use experiences, or reviews of the field) not published in other forums. Papers should be of 6 to 12 pages in length in the Springer LNCS style. Accepted submissions will appear in online proceedings and authors will be invited for oral or poster presentation.
  • Student Track: This track is designed to facilitate students who have recently completed a Bachelor’s or Master’s programme with a dissertation component. Student track submissions should consist of original contributions (describing either basic research or interesting applications) and the first author must be the student upon whose dissertation the paper is based. Papers should be of 6 to 12 pages in length in the Springer LNCS style. Accepted submissions will appear in the online proceedings and authors will be invited for a poster presentation.
  • NECTAR Track: NECTAR track submissions should describe significant results previously published or disseminated no earlier than 2016 at a prestigious international conference or journal. Authors will be invited to present their work orally at AICS.
All accepted submissions in Full Paper Track and Student Paper Track will appear in online proceedings published at ceur-ws.org.

Keynote Speakers


Prof. Karl J. Friston

Scientific Director: Wellcome Centre for Human Neuroimaging
Professor: Queen Square Institute of Neurology, University College London
Honorary Consultant: The National Hospital for Neurology and Neurosurgery

Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include variational Laplacian procedures and generalized filtering for hierarchical Bayesian model inversion. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a free-energy principle for action and perception (active inference). Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, College de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO (excellence in the life sciences) in 2014 and the Academia Europaea in (2015). He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award, a lifetime achievement award in the field of human brain mapping. He holds Honorary Doctorates from the University of Zurich and Radboud University.

Abstract: In the cognitive neurosciences and machine learning, we have formal ways of understanding and characterising perception and decision-making; however, the approaches appear very different: current formulations of perceptual synthesis call on theories like predictive coding and Bayesian brain hypothesis. Conversely, formulations of decision-making and choice behaviour often appeal to reinforcement learning and the Bellman optimality principle. On the one hand, the brain seems to be in the game of optimising beliefs about how its sensations are caused; while, on the other hand, our choices and decisions appear to be governed by value functions and reward. Are these formulations irreconcilable, or is there some underlying information theoretic imperative that renders perceptual inference and decision-making two sides of the same coin?

Prof. Sophia Ananiadou

Professor: Department of Computer Science, University of Manchester
Manchester Institute of Biotechnology, FSE Research Institutes
Thomas Ashton Institute, FSE Research Institutes

Sophia Ananiadou is Professor in the School of Computer Science at the University of Manchester and is the director of The National Centre for Text Mining (NaCTeM) the only centre of its type in the world. She has led the development of the text mining tools and services currently used in NaCTeM with the aim of providing scalable text mining services: information extraction, intelligent searching, association mining, etc. She has received the IBM UIMA innovation award 3 consecutive times and is also a Daiwa award winner.

Abstract: Information Extraction methods include named entity recognition, relation and event extraction. I will describe recent IE methods such as nested named entity recognition, intra- and inter- relation extraction, relation extraction with enriched word representations, unsupervised relation extraction and methods which exploit existing knowledge bases. Events which encapsulate n-ary relationships, i.e. interactions between any number of concepts can be extracted with end-to-end neural methods, including capturing richer contextual information such as degree of confidence. I will conclude with some applications which leverage these IE developments.

Author Instructions

All accepted submissions will be presented at the conference, either orally or as posters, and included in the online conference proceedings. At least one author of each submission will be required to register for, and attend, the conference. All submissions must be made via the EasyChair system online, available here.

Full Paper Track papers and Student Track papers must be submitted in Springer LNCS format (single column proceedings), which is also the format required for the final camera-ready copy. A sample LaTeX document in this format is available here.

NECTAR Track submissions must follow the following template found here.

All accepted submissions in Full Paper Track and Student Paper Track will appear in online proceedings published at ceur-ws.org.

Journal Special Issue Authors of a selection of accepted papers will be invited to submit an extended version to a dedicated special issue of The Wiley Journal Expert Systems: The Journal of Knowledge Engineering. Dates and deadlines to be announced.

New A selection of authors were sent invitations for an extension of their papers.

Important Dates (extended)


Note that there will be no further extensions of the deadlines below.

  • Paper Submission Deadline for all Tracks - 1st October 2021 20th October 2021, 23:59 Irish time

    Time Remaining:

  • Acceptance Notification for all Papers - 29th October 2021 17th November 2021 22nd November 2021
  • Camera Ready Submissions (all tracks) - 12th November 2021 26th November 2021 1st December 2021
  • Conference Dates - 9th - 10th December 2021


To register for the AICS 2021 conference, please use the Eventbrite link below. Considering the current situation with COVID-19, AICS 2021 will be a virtual conference. As there are fewer costs for such a conference, the attendance only will be free for non-authors. Due to paper processing, there will be a charge for authors to attend.

Registration Link: https://www.eventbrite.ie/e/aics-2021-virtual-tickets-211081308877?aff=ebdssbeac

  • Student author registration: €50.00
  • General author registration: €75.00
  • Non-author (attendance only) registration: Free



Programme Committee

  • Elham Alghamdi (University College Dublin)
  • Antonio Bevilacqua (University College Dublin)
  • Bojan Božić (Technological University Dublin)
  • Rob Brennan (Dublin City University)
  • Derek Bridge (University College Cork)
  • Ken Brown (University College Cork)
  • Paul Buitelaar (National University of Ireland, Galway)
  • Fintan Costello (University College Dublin)
  • Fred Cummins (University College Dublin)
  • Padraig Cunningham (University College Dublin)
  • Mathieu D'Aquin (National University of Ireland Galway)
  • Sarah Jane Delany (Technological University Dublin)
  • Deirdre Desmond (Maynooth University)
  • Ruihai Dong (University College Dublin)
  • Ken Duffy (Hamilton Institute, Maynooth University)
  • Ivana Dusparic (Trinity College Dublin)
  • Cathy Ennis (Technological University Dublin)
  • Claire Gillan (Trinity College Dublin)
  • Frank Glavin (National University of Ireland, Galway)
  • Derek Greene (University College Dublin)
  • Severin Gsponer (University of Applied Sciences and Arts Northwestern Switzerland)
  • Elizabeth Hunter (Technological University Dublin)
  • Georgiana Ifrim (University College Dublin)
  • Gareth Jones (Dublin City University)
  • Mark Keane (University College Dublin)
  • Tahar Kechadi (University College Dublin)
  • Luca Longo (Technological University Dublin)
  • Jinghui Lu (University College Dublin)
  • Brian Mac Namee (University College Dublin)
  • Tiziana Margaria (Lero)
  • John P. McCrae (National University of Ireland, Galway)
  • James McDermott (National University of Ireland, Galway)
  • Susan Mckeever (Dublin Institute of Technology)
  • Paul Mc Kevitt (Ulster University)
  • Catherine Mooney (University College Dublin)
  • Brendan Murphy (University College Dublin)
  • Matthias Nickles (National University of Ireland, Galway)
  • Diarmuid O'Donoghue (Maynooth University)
  • Ruairi O'Reilly (Munster Technological University)
  • Colm O'Riordan (National University of Ireland, Galway)
  • Barry O'Sullivan (University College Cork)
  • Molly Quinn (University College Dublin)
  • Muhammad Atif Qureshi (Technological University Dublin)
  • Lucas Rizzo (Technological University Dublin)
  • Mohamed Saadeldin (University College Dublin)
  • Bianca Schoen-Phelan (Dublin Institute of Technology)
  • Michael Schukat (National University of Ireland, Galway)
  • Niladri Sett (University College Dublin)
  • Alan Smeaton (Technological University Dublin)
  • Wenyi Sun (University College Dublin)
  • Duncan Wallace (University College Dublin)
  • Shen Wang (University College Dublin)
  • Greta Warren (University College Dublin)