[agents] [DCAI'18] Call for papers - Deadline extension

DCAI’18 International Conference info at dcai-conference.net
Sun Feb 4 13:09:37 EST 2018


[DCAI\'18] Call for papers - Deadline extension
 
					www.dcai-conference.net
									info at dcai-conference.net (info at dcai-conference.net) 
								
					16th International Conference on Practical Applications of Agents and Multi-Agent Systems
												
											
											University of Castilla-La Mancha 

												Toledo (Spain) | 20th - 22nd June, 2018
												
											
									
									
								
					SCOPE
						
					 
					 
					The 15th International Conference on Distributed Computing and Artificial Intelligence 2018 is an annual forum that will bring together ideas, projects, lessons, etc. associated with distributed computing and artificial intelligence, and their application in different areas. This meeting will be held in Toledo (Spain) within PAAMS'18 in 20th-22nd June, 2018.

						Nowadays, most computing systems from personal laptops/computers to cluster/grid /cloud computing systems are available for parallel and distributed computing. Distributed computing performs an increasingly important role in modern signal/data processing, information fusion and electronics engineering (e.g. electronic commerce, mobile communications and wireless devices). Particularly, applying artificial intelligence in distributed environments is becoming an element of high added value and economic potential. Research on Intelligent Distributed Systems has matured during the last decade and many effective applications are now deployed. The artificial intelligence is changing our society. Its application in distributed environments, such as the Internet, electronic commerce, mobile communications, wireless devices, distributed computing, and so on is increasing and is becoming an element of high added value and economic potential, both industrial and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both academic and business areas is essential to facilitate the development of systems that meet the demands of today's society. The technology transfer in this field is still a challenge and for that reason this type of contributions will be specially considered in this symposium. This conference is the forum in which to present application of innovative techniques to complex problems.

						DCAI'18 is sponsored by the IEEE Systems Man and Cybernetics Society Spain Section Chapter and the IEEE Spain Section (Technical Co-Sponsor).
						
					 
					TOPICS
						
					 
					At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings.
						
					 
					Distributed applications ICTs: trade, medicine, industry, the Internet, etc...
										Implementation of AI Bioinformatics
										Implementation of AI Biotechnology
										Implementation of AI in the development of mobile devices
										Networks
										Intelligent environments
										Distributed Algorithms
										Computer GRID
										Distributed databases
										Multimedia and distributed animation systems
										Distributed Operating Systems
										Real Time Systems
										Trade and Electronic Business
										Systems and fault-tolerant real-time systems
										Distributed Architectures
										Multiagent Systems
										High-performance
										Languages, Compilers, planning, load balancing
										E-learning
										Technology for Internet
										Middleware
										Mobile and wireless systems
									
									Security
										Parallel
										Software Engineering and Formal Methods
										Distributed Intelligent Information Systems
										Robotics and Control
										Satisfaction of restrictions
										Search heuristics
										Model based reasoning
										Reasoning not monotonic
										Planning and scheduling tasks
										Qualitative Reasoning
										Reasoning with uncertainty
										Temporal and spatial reasoning
										Other reasoning models
										Case based reasoning
										Data Analysis
										Evolutionary Computation
										Neural networks
										Learning through reinforcement
										Other models of learning
										Applications of AI (TTIA)
										Logic
										System support for decision-making
										Intelligent Interaction
										Knowledge Management
										Knowledge Representation
									
								
					 
					COMMITTEE
						
					 
					 
					Advisory Committee Chairman
									
								
					Masataka Inoue
President of Osaka Institute of Technology

									Japan
									
								
					 
					Program Committee Chairs
									
								
					Sigeru Omatu
Osaka Institute of Technology 

									Japan
									
									Sara Rodríguez
University of Salamanca 

									Spain
									
									Fernando De la Prieta
University of Salamanca 

									Spain
									
								
					INVITED SPEAKERS
						
					 
					

									Michael North
Senior Decision Sciences Team Leader (Conversant LLC), Illinois Institute of Technology 

									(USA)
									
									

									Jiming Liu
Chair Professor of Computer Science, Hong Kong Baptist University (China)
									
									

									Petr Skobelev
Co-Owner & Technology Director at Multi-Agent Technology, Ltd 

									(Russia)
									
								
					 
					SPECIAL SESSIONS
						
					 
					SS01-ADRESS

										Advances on Demand Response and Renewable Energy Sources in Smart Grids
									
								Smart Grid concepts are rapidly being transferred to the market and huge investments have already been made in renewable based electricity generation and in rolling out smart meters. However, the present state of the art does not ensure neither a good return of investment nor a sustainable and efficient power system. The work so far involves mainly larger stakeholders, namely power utilities and manufacturers and their main focus has been on the production and grid resources. This vision is missing a closer attention to the demand side and especially to the interaction between the demand side and the new methods for smart grid management.

									Efficient power systems require, at all moments, the optimal use of the available resources to cope with demand requirements. Demand response programs framed by adequate business models will play a key-role in more efficient systems by increasing demand flexibility both on centralized and distributed models, particularly for the latter as renewable energy generation and storage is highly dependable of uncontrolled factors (such as wind and solar radiation) for which anticipated forecasts are subjected to significant errors.

									The complexity and dynamic nature of these problems requires the application of advanced solutions to enable the achievement of relevant advancements in the state of the art. Artificial intelligence and distributed computing systems are, consequently, being increasingly embraced as a valuable solution. ADRESS aims at providing an advanced discussion forum on recent and innovative work in the fields of demand response and renewable energy sources integration in the power system. Special relevance is indorsed to solutions involving the application of artificial intelligence approaches, including agent-based systems, data-mining, machine learning methodologies, forecasting and optimization, especially in the scope of smart grids and electricity markets.

									dcai-conference.net/special-sessions/adress
									
								 
								 
								SS02-AIMPM

										AI–driven methods for Multimodal Networks and Processes Modeling
									
								The special session entitled AI–driven methods for Multimodal Networks and Processes Modeling (AIMPM 2018) is a forum that will share ideas, projects, researches results, models, experiences, applications etc. associated with artificial intelligence solutions for different multimodal networks born problems (arising in transportation, telecommunication, manufacturing and other kinds of logistic systems). The session will be held in Toledo as the part of The 14th International Symposium Distributed Computing and Artificial Intelligence 2018.

									dcai-conference.net/special-sessions/aimpm
									
								 
								 
								SS03-SISR

										Swarm Intelligence and Swarm Robotics
									
								Swarm Intelligence (SI) refers to the complex collective behavior of self-organized and decentralized systems, typically composed of a (spatially distributed and often large) population of individuals, or agents. These agents interact among them and with the environment using different, simple, and local rules for coordinating actions. Such systems of the swarm can be inherently robust, effective, and flexible. Put differently, SI can be regarded as a generic behavioral concept embracing a wide portfolio of decentralized algorithms for performing different tasks, such as signal and graph processing, inference, prediction and optimization.

									In this context, a myriad of application subfields of SI can be found in academia and industry, a clear evidence of the momentum gained by this discipline. Specifically, Swarm Robotics (SR) refers to the application of SI methods and techniques to scenarios where the population of agents consists of physical or simulated robotic devices with motion, interaction and communication capabilities. The focus of SR is to analyze how this swarm of relatively simple robots can be configured so as to coordinate in a distributed fashion and collectively accomplish different goals unaffordable for the capabilities of a single robot.

									dcai-conference.net/special-sessions/sisr
									
								 
								 
								SS04-SMAILF

										Social Modelling of Ambient Intelligence in Large Facilities
									
								Ambient Intelligence (AmI) is intended to provide users with systems tightly integrated with their everyday environment and activities. The goal is minimizing the need of explicit actions by users, through the continuous and distributed orchestration of information and actuation devices. With the advances in the field, AmI is pursuing growingly ambitious goals in terms of the size and integration of its smart spaces, the number of served users, and the level of adaptation to them.

									This special session will be focused on the challenges and potential solutions that appear when AmI moves to Large Premises (LP). In this context, new requirements consider big groups of people moving in premises that fall beyond the classical closed and controlled environments of most AmI systems. The ways of interaction, the expected services, and the behaviour of people acquire a new dimension and variability in those interconnected smart spaces. AmI systems need to adapt to the crowds using large numbers of multiple and heterogeneous AmI resources in distributed and frequently uncontrollable environments that cause unexpected dynamic changes in the system topology.

									dcai-conference.net/special-sessions/smailf
									
								 
								 
								SS05-CESP

										Communications, Electronics and Signal Processing
									
								Today’s digital revolution, with millions of connected devices providing real-time information about cities, homes, buildings, vehicles, etc. would not have been possible without the great advances in communications, electronics and signal processing of the last decades. This special session covers all aspects related with these three pillars: new communication approaches such as 5G, massive MIMO, Network Function Virtualization (NFV), Software Defined Networks (SDN), or millimeter wave communications; novel results in the field of electronics such as new antennas design, emerging Li-Fi devices, micro-electromechanical systems, or nano-electronics devices; and prevalent signal processing methodologies such as adaptive filtering approaches, fusion techniques, navigation systems, or image and video processing.

									dcai-conference.net/special-sessions/cesp
									
								 
								 
								SS06-CNFL

										Complexity in Natural and Formal Languages
									
								Complexity has become an important concept in several scientific disciplines. There has been a lot of research on complexity and complex systems in natural sciences, economics and social sciences. Complexity has always been a central topic in area of formal languages and now also increasingly in natural language research. The main objective of this special session is to bring together researchers from different areas that have in common their interest on linguistic complexity, regarding formal and/or natural languages. We want to boost the interchange of knowledge and methods between specialists that have approached linguistic complexity from different viewpoints. In order to promote interdisciplinarity among researchers that are dealing with any type of linguistic (natural or formal) complexity, we are interested in contributions introducing methods, models, definitions and measures to assess complexity. We are interested in computational and formal approaches to linguistic complexity.

									dcai-conference.net/special-sessions/cnfl
									
								 
								 
								SS07-DECON

										Decision Economics
									
								The special session on Decision Economics (DECON 2018) is an interdisciplinary scientific forum by which scientists and managers share ideas, projects, research results, models and experiences associated with the complexity of behavioural decision processes aiming at explaining real socio-economic phenomena. The special session DECON 2018 will be held at the University of Castilla-La Mancha (Toledo, Spain) within the Technological Campus as part of the 15th International Conference on Distributed Computing and Artificial Intelligence, 20-22 June 2018.

									dcai-conference.net/special-sessions/decon
									
								 
								 
								SS08-EEMAS

										E-learning and educational multi-agent systems
									
								Multi-agents systems are emerging in all aspects of life, including education. Agents equipped with artificial intelligence are an ubiquitous part of our daily life, either shaped as physical robots, simulated agents or smart interconnected devices designed to ease a plethora of daily activities.

									E- learning systems have been gaining terrain over traditional educational systems over the last decades. More recent, virtual learning environments which involve either physical or software agents are shaping both processes of teaching and learning. Both tutoring agents and information collecting agents are used nowadays not only for raising standards in education, but also for making it more discoverable and available to everyone, as well as to motivate and guide students and teachers throughout the learning and teaching processes.

									This special session will provide an opportunity to bring together researchers with interests in multi-agent systems and educational research and aims at receiving contributions relevant to the area of e-learning and educational systems, multi-agent systems, artificial intelligence, robotics.

									dcai-conference.net/special-sessions/eemas
									
								 
								 
								SS09-WASMM

										Web and Social Media Mining
									
								The Web has become an indispensable instrument in the daily life for business activities, learning, entertainment, communication, etc. Offer of products and services to Internet users is practically unlimited, nevertheless, this apparent advantage is also a great drawback due to the fact that the Web provides from multiple sources a great quantity of heterogeneous information difficult to handle and interpret. In this context, data mining methods arise as efficient tools for helping users in the recovery of suitable information, products or services from the Web. For that reason, recommender systems have become very popular in recent years, mainly in the e-commerce sites, although they are increasing in importance in other areas such as e-learning, tourism, news pages, etc.

									Nowadays, social networks are big sources of data, from which valuable information can be extracted by means of datamining algorithms. Social media mining allows us to explore a wide range of aspects regarding users, communities, networks structures, information diffusion and so on.

									WASMM aims at providing a forum for the presentation and discussion of the advances achieved in the web mining field.

									dcai-conference.net/special-sessions/wasmm
									
								
					 
					DOCTORAL CONSORTIUM
						
					 
					The aim of the Doctoral Consortium is to provide a frame where students can present their on going research work and meet other students and researchers, and obtain feedback on future research directions.

						The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation.

						All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim to provide detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings.
						
					 
					 
					IMPORTANT DATES
						
					Submission date
									
									Notification date
									
									Camera-ready deadline
									
									Conference dates
									
								
					5th February, 2018

									12th February, 2018
									
									12th March, 2018
									
									26th March, 2018
									
									20th-22nd June, 2018
									
								
					SUBMISSIONS
						
					 
					Format

						All papers must be formatted according to the AISC template, with a maximum length of 8 pages (4 pages en Doctoral Consortium), including figures and references:

						Microsoft Word Format
							Latex Format
						Review process

						DCAI welcomes the submission of application papers with preference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity.

						The papers must consist of original, relevant and previously unpublished sound research results related to any of the topics of the conference.

						Submitting papers

						DCAI papers must be formatted according to the Springer AISC Template, with a maximum length of 8 pages in length, including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the DCAI 2018 conference management system.

						Publication

						Accepted papers will be included in DCAI Proceedings. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings.

						

						All accepted papers will be published by AISC series of Springer Verlag.
						
					 
					SPECIAL ISSUES
						
					 
					
									
									Authors of selected papers from PAAMS 2017 and Co-located Events will be invited to submit an extended and improved version to a special issue published on Journal of Data Science and Analytics.
									
								
									
									Authors of selected papers from PAAMS 2017 and Co-located Events will be invited to submit an extended and improved version to a Special Issue published in the International Journal of Knowledge and Information Systems -KAIS- (JCR Impact Factor: 1.702).
									
								
					 
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