EXTRAAMAS 2021 : EXplainable and TRAnsparent AI and Multi-Agent Systems

in Conferences   Posted on November 25, 2020 

Conference Information

Submission Deadline Monday 01 Mar 2021 Proceedings indexed by :
Conference Dates May 3, 2021 - May 7, 2021
Conference Address London, United Kingdom
Conference & Submission Link https://extraamas.ehealth.hevs.ch/index.html
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

3nd International Workshop on

EXplainable TRAnsparent AI and Multi-Agent Systems

(EXTRAAMAS 2020)

#Important Dates

Deadline for Submissions: 22 February 2021

Notification of acceptance: 7 March 2021

Camera-ready: 20 May 2021

Workshop day: 5-7 May 2021

#Call for Papers

An increasing number of attempts from several communities has been recorded to advance the state of the art of explainable AI. However, most of their effort focuses on machine learning, automated planning, and only marginally applies to Explainable Agency i.e., autonomous agents and multi-agent systems. In particular, much of the work in machine learning has focused on how to derive more `interpretable’ models from deep neural networks.

The aim of the workshop is to gather researchers interested in developing an explainable agency for goal-oriented agents and robots. In particular, participants are invited to submit papers addressing whichever phase of explainability [15] (e.g., generation, communication, and reception) fostering transparency in Autonomous Agents and Multi-Agent Systems (MAS) and robots. Compliance with such requirements is becoming necessary in most systems where agent-oriented approaches are increasingly employed.

Therefore, the purpose of this second “International workshop on Explainable Intelligence in Autonomous Agent and Multi-Agent Systems” (EXTRAAMAS) is five-fold:

– to strengthen the common ground for the study and development of explainable and understandable autonomous agents, robots, and Multi-Agent Systems (MAS),

– to investigate the potential of agent-based systems in the development of personalized user-aware explainable AI,

– to assess the impact of transparent and explained solutions on the user/agents behaviors,

– to discuss motivating examples and concrete applications in which the lack of explainability leads to problems, which would be resolved by explainability,

– to assess and discuss the first demonstrators and proof of concepts paving the way for the next generation systems,

– to explore the potential of goal-driven XAI for industrial exploitation.

## Topics of EXTRAAMAS (non-exclusive list) ##

# Special Focus: Explainable Reasoning in Face of Contradictions

– Principle-based symbolic reasoning and explainable loop-busting

– XAI and formal models of human reasoning

– Neuro-symbolic approaches to explainable and principle-based reasoning

– Principle-based and explainable legal reasoning

– Other cross-disciplinary perspectives on explainable reasoning and contradiction

resolution

# Explainable Agents and Robots

– Explainable agent architectures

– Personalized XAI

– Explainable & Expressive robots

– Explainable human-robot collaboration

– Reinforcement Learning Agents

– Multi-modal explanations

# XAI & Ethics

– Social XAI

– AI, ethics, and explainability

– XAI vs AI

# XAI & MAS

– Multi-actors interaction in XAI

– XAI for agent/robots teams

– Simulations for XAI

# Interdisciplinary Aspects

– Cognitive and social sciences perspectives on explanations

– HCI for XAI

– Legal aspects of explainable agents

– Explanation visualization

# XAI Machine learning and Knowledge Representation

– Bridging symbolic and subsymbolic XAI

– Knowledge generation from interpretations

– Explanation visualization

– Explainable knowledge generation

# Workshop Chairs

Dr. Davide Calvaresi, HES-SO, Switzerland

Dr. Amro Najjar, University of Luxembourg, Luxembourg

Prof. Kary Främling, Umea University Sweden and Aalto University, Finland,

Prof. Michael Winikoff, Victoria University Wellington.

Dr. Tim Kampik, Umea University, Sweden, (industrial chair)

# Advisory Board

Dr. Tim Miller, School of Computing and Information Systems at The University of Melbourne.

Prof. Leon van der Torre, University of Luxembourg, Luxembourg

Prof. Virginia Dignum, Umea University, Sweden

Prof. Michael Ignaz Schumacher, HES-SO, Switzerland

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