Participation in the ICAART 2020 International Conference

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The 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) took place from February 22th to February 24th, 2020 in Valetta, Malta. It was organized by Ana Paula Rocha, Auxiliary Professor at the Department of Computing Engineering, University of Porto, and Luc Steels, an ICREA research fellow at the Institute for Evolutionary Biology (UPF-CSIC) in Barcelona.

The conference was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and technically co-sponsored by the IEEE Computational Intelligence Society.

The purpose of the International Conference on Agents and Artificial Intelligence was to bring together researchers, engineers, and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks were held, covering both applications and current research work. One track focused on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focused mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception, Reactive AI Systems, and Evolutionary Computing.

The conference was complemented with the Special Session on Human-centric Applications of Multi-agent Technologies (HAMT), the Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI) and the Special Session on Artificial Intelligence and Digital Heritage: Challenges and Opportunities (ARTIDIGH).

ICAART received 276 paper submissions from 55 countries, including special sessions, only 16% of which were accepted as full papers, showing the intention of preserving a high quality forum for the next editions of the conference.

The conference program included a panel and four invited talks delivered by internationally distinguished speakers, namely: Carles Sierra (IIIA-CSIC, Spain), Marie-Christine Rousset (Université Grenoble-Alpes and Institut Universitaire de France, France), Bart Selman (Cornell University, United States) and Rineke Verbrugge (Bernoulli Institute, University of Groningen, Netherlands).

The conference was attended by participants from many countries - Czech Republic, Russia, Poland, Sweden, Finland, UK, the USA, Austria, Germany, France, Spain, Italy, the Netherlands, Belgium, Latvia, Canada, Japan, India, Chile, Turkey, Ecuador.

The conference covered a wide range of topics in the following general fields:

AREA 1: AGENTS

AREA 2: ARTIFICIAL INTELLIGENCE

         Agent Communication Languages

         Cooperation and Coordination

         Distributed Problem Solving

         Economic Agent Models

         Emotional Intelligence

         Group Decision Making

         Intelligent Auctions and Markets

         Mobile Agents

         Multi-Agent Systems

         Negotiation and Interaction Protocols

         Nep News Detection

         Agent Models and Architectures

         Physical Agents at Work

         Privacy, Safety and Security

         Programming Environments and Languages

         Robot and Multi-Robot Systems

         Self-Organizing Systems

         Semantic Web

         Simulation

         Swarm Intelligence

         Task Planning and Execution

         Transparency and Ethical Issues

         Agent Oriented Software Engineering

         Web Intelligence

         Agent Platforms and Interoperability

         Autonomous Systems

         Cloud Computing and Its Impact

         Cognitive Robotics

         Collective Intelligence

         Conversational Agents

         AI and Creativity

         Deep Learning

         Evolutionary Computing

         Fuzzy Systems

         Hybrid Intelligent Systems

         Industrial Applications of AI

         Intelligence and Cybersecurity

         Intelligent User Interfaces

         Knowledge Representation and Reasoning

         Knowledge-Based System

         Ambient Intelligence

         Machine Learning

         Model-Based Reasoning

         Natural Language Processing

         Neural Networks

         Ontologies

         Planning and Scheduling

         Social Network Analysis

         Soft Computing

         State Space Search

         Bayesian Networks

         Uncertainty in AI

         Vision and Perception

         Visualization

         Big Data

         Case-Based Reasoning

         Cognitive Systems

         Constraint Satisfaction

         Data Mining

         Data Science

Graduate student Vladimir Larukhin took part in the Poster Session. The title of his report was Ontology-based open multi-agent systems for adaptive resource management. It described an ontological model of a planning object, providing flexible configuration of multi-agent resource management systems. The basic ontology of resource planning was used and then built up for significantly different domains. The key concept of the report was Task: a relatively universal agent can be created thanks to formalized description of various classes of tasks based on this concept. It can also be customized to a specific domain area. Based on the ontology, an enterprise knowledge base can be created, containing instances of concepts and relations. The report also introduced new classes of agents for demand and resource networks. A new method of multi-agent planning using the knowledge base was proposed. Such an approach was successfully applied in several domain areas through the developed software package. The report demonstrated that the use of ontologies can improve the quality and efficiency of planning by taking into account multiple factors in real time, thus reducing the cost of creating and maintaining multi-agent systems, as well as development times and risks.

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Here are some papers that are the closest to the works of our company:

1.      Roman Denysiuk, Fabio Lilliu, Meritxell Vinyals and Diego Reforgiato Recupero. Multiagent System for Community Energy Management.

2.      Roman Denysiuk, Fabio Lilliu, Diego Reforgiato Recupero and Meritxell Vinyals. Peer-to-peer Energy Trading for Smart Energy Communities.

3.      Michalis Smyrnakis, Hongyang Qu, Dario Bauso and Sandor Veres. Multi-model Adaptive Learning for Robots Under Uncertainty.

4.      Gabriel Icarte Ahumada, Eduardo Riveros and Otthein Herzog. An Agent-based System for Truck Dispatching in Open-pit Mines.

5.      Celal Ozan Berk Yavuz, etc. Taking Inventory Changes into Account While Negotiating in Supply Chain Management.

6.      David Liau, Razieh Nokhbeh Zaeem and K. Suzanne Barber. An Evaluation Framework for Future Privacy Protection Systems: A Dynamic Identity Ecosystem Approach.

7.      Amar Nath, Arun Ar and Rajdeep Niyogi. DMTF: A Distributed Algorithm for Multi-team Formation.

8.      Yury Iskanderov and Mikhail Pautov. Agents and Multi-agent Systems as Actor-networks.

9.      Souhila Arib and Samir Aknine. Multi-agent Systems in Remote Sensing Image Analysis.

10. Fumi Okura, I. Wayan Budiasa and Tasuku Kato. Agent-Based Model Application for Resource Management Analysis.

11. Vera ˇSkopkova, Roman Bartak and Jiˇri ˇSvancara. What Does Multi-agent Path-finding Tell Us About Intelligent Intersections.

12. Guilhem Marcillaud, Valerie Camps, St´ephanie Combettes, etc. Management of Intelligent Vehicles: Comparison and Analysis.

13. Zean Zhu, Elhadji Amadou Oury Diallo and Toshiharu Sugawara. Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning.

14. Eskandar Kouicem, Clement Raýevsky and Michel Occello. Towards a Cyber-physical Systems Resilience Approach based on Artificial Emotions and Multi-agent Systems.

15. Sagir Muhammad Yusuf and Chris Baber. Human-agents Interactions in Multi-Agent Systems: A Case Study of Human-UAVs Team for Forest Fire Lookouts.

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