Human-centric Applications of Multi-agent Technologies (ins) AS, Prague, Úterý, 19. Únor 2019


Special Session on Human-centric Applications of Multi-agent Technologies - HAMT 2019
19 - 21 February, 2019 - Prague, Czech Republic
Within the 11th International Conference on Agents and Artificial Intelligence - ICAART 2019
SCOPE
Today, we are witnessing the advent of ubiquitous computing. Computers are not special machines, they are common apparatus. We are using computers without any special attention. Therefore computational technologies should become human centric; multi-agent systems are not exception. Human centric applications should be one of the mainstreams of multi-agent technologies. In this session, we would like to meet with various background research scientists as well as industry specialists to discuss how we can make various agent technologies, support the welfare of humanity. Through this session, we would like to foster any inspirations for designing and developing novel computational applications based on agent technologies as well as communication technologies such as Content-Centric Network technology to support human beings.
Topics: - Novel communication systems - Design, implementation and evaluation of agent base human computer interactions - Software visualization for multi-agents - Content-Centric Network - Bio-inspired algorithms and applications - Agent and multi-agent systems for communication - Crowd-sourcing and sensor networks - Artificial intelligence for supporting humans - Intelligent health care systems - Intelligent apparatus for disabled people - Virtual reality and augmented reality systems - Any other kinds of agent based human supportive technologies

CHAIR
Yasushi KambayashiNippon Institute of TechnologyJapan Brief BioDr. Yasushi Kambayashi is an associate professor in the Department of Computer and Information Engineering from the Nippon Institute of Technology. He worked at Mitsubishi Research Institute as a staff researcher before joining the Institute. His research interests include theory of computation, theory and practice of programming languages, and political science. He received his PhD in Engineering from the University of Toledo, his MS in Computer Science from the University of Washington, and his BA in Law from Keio University. He is a committee member of the Japan Information-Technology Engineers Examination, a Fellow of IARIA, a committee member and the industry research chair of IARIA International Multi-Conference on Computing in the Global Information Technology and IARIA International Conference on Advances in P2P Systems, a committee member of Asia Pacific Symposium on Intelligent and Evolutionary Systems, an editorial board member of International Journal on Advances in Internet Technology, a review committee member of Peer-to-Peer Networking and Applications, and a member of ACM, IEEE Computer Society, Tau Beta Pi, IPSJ, JSSST, IEICE System Society, IADIS, and Japan Flutist Association.

SCOPE
The purpose of the International Conference on Agents and Artificial Intelligence is 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 will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.
A substantial amount of research work is ongoing in these knowledge areas, in an attempt to discover appropriate theories and paradigms to use in real-world applications. Much of this important work is therefore theoretical in nature. However there is nothing as practical as a good theory, as Boltzman said many years ago, and some theories have indeed made their way into practice. Informatics applications are pervasive in many areas of Artificial Intelligence and Distributed AI, including Agents and Multi-Agent Systems; This conference intends to emphasize this connection, therefore, authors are invited to highlight the benefits of Information Technology (IT) in these areas. Ideas on how to solve problems using agents and artificial intelligence, both in R&D and industrial applications, are welcome. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICAART with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.
Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat. Additional information can be found at .
CONFERENCE AREAS
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:1. AGENTS2. ARTIFICIAL INTELLIGENCE
AREA 1: AGENTS


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


AREA 2: ARTIFICIAL INTELLIGENCE


AI and Creativity


Deep Learning


Evolutionary Computing


Fuzzy Systems


Governance and Big Data


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


Pattern Recognition


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



KEYNOTE SPEAKERSPenousal Machado, University of Coimbra, PortugalCarla P. Gomes, Cornell University, United StatesMichal Pechoucek, Czech Technical University in Prague, Czech RepublicLambert Schomaker, University of Groningen, Netherlands


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Human-centric Applications of Multi-agent Technologies (ins) AS

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