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
· 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
· Planning and Scheduling
· Social Network Analysis
· Soft Computing
· State Space Search
· Bayesian Networks
· Uncertainty in AI
· Vision and Perception
· Big Data
· Case-Based Reasoning
· Cognitive Systems
· Constraint Satisfaction
· Data Mining
· Data Science
Our Vice President 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.
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.