[agents] [PAAMS'18] Call for papers in workshops - Extension deadline
PAAMS’18 International Conference
info at paams.net
Mon Feb 5 05:55:47 EST 2018
[PAAMS\'18] Call for papers in workshops - Extension deadline
www.paams.net
info at paams.net (info at paams.net)
16th International Conference on Practical Applications of Agents and Multi-Agent Systems
University of Castilla-La Mancha
Toledo (Spain) | 20th - 22nd June, 2018
List of workshops in PAAMS 2018
WS01-A-HEALTH
Agents and multi-agent Systems for AAL and e-HEALTH
WS02-AAAT
Agent based Applications for Air Transport
WS03-ABAM
Agent-Based Artificial Markets Computational Economics
WS04-AMSC
Agents-based Solutions for Manufacturing and Supply Chain
WS05-CNSC
MAS for Complex Networks and Social Computation
WS06-DeMaDIE
Decision Making in Dynamic Information Environments
WS07-ISCIF
Intelligent Systems and Context Information Fusion
WS08-MASGES
Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems
WS09-MASLE
Multiagent System Based Learning Environments
WS10-SCIA
Smart Cities and Intelligent Agents
WS11-MAS&S
Multi-Agent Systems and Simulation
Submission
All proposed papers must be submitted in electronic form (PDF format) using the PAAMS 2018 conference management system.
Publication
Accepted papers will be included in PAAMS 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 Communications in Computer and Information Science series of Springer Verlag.
IMPORTANT DATES
Deadline
Notification date
Camera-ready deadline
Conference dates
5th February, 2018
12th February, 2018
12th March, 2018
26th March, 2018
20th-22nd June, 2018
WORKSHOPS
WS01-A-HEALTH
Agents and multi-agent Systems for AAL and e-HEALTH
A-HEALTH aims at bringing together leading researchers from both academia and industry to present and discuss applications of agent-based systems for Ambient Assisted Living, telemedicine and e-Health.
Within the last few years these topics has attracted huge attention due to the demographic changes of our societies. The number of elders will double over the next 30-40 years in Europe, and currently the workforce is four times larger than the retired, which will change to 2:1 in 2050. Thus healthcare expenses are exploding.
Thus, new technological solutions must be introduced for disease management, organize health information, provide care, handle daily tasks for elders and people with other disabilities. Such systems should increase self-sustainability, mobility, quality-of-life, infrastructures, etc. of patients and assisted persons. Systems are often integrated into the immediate personal environment of the assisted person, and the systems should adapt to the user rather than aiming for general solutions. So individual preferences and needs are crucial for the success, and there is a need for technologies that can acts independently on behalf of their user or support the user during daily activities and disease management. Agents are a natural approach both in concept, methodology, and implementation tools for such systems, due to the focus of individuality and the need of systems that autonomously can act intelligent in various settings.
paams.net/workshops/a-health
WS02-AAAT
Agent based Applications for Air Transport
The aim of the AAAT Workshop is to foster the discussion on issues concerning the development of Intelligent Agents for real Air Transportation problems, including Disruption Management, Airline Operations Control, Air Traffic Management and Control, Airport Logistics, etc. Agents are, by definition, autonomous entities enable to react and adapt to changes in a complex, distributed and dynamic environment as it is the case of Air Transportation. Intelligent Agents seems to be an appropriate methodology to apply in the Air Transportation domain, since involved entities, represented by agents, can reach their ultimate goals and intentions through autonomic decision-making as well as by including features representing their own problem-solving intelligent capabilities.
On the basis of theories and methodologies borrowed from a wide spectrum of disciplines, such as the Social Sciences, Distributed Computing, Artificial Intelligence and Multi-agent Systems, and many others, many important issues arise which challenge and motivate many researchers and practitioners from multidisciplinary fields, as well as different technical and scientific communities. We encourage and welcome contributions reporting on how the scientific community and practitioners are using Agents and Multi Agent Systems techniques and methodologies to address real Air Transportation problems. This includes theoretical and/or applied research as well as applications.
paams.net/workshops/aaat
WS03-ABAM
Agent-Based Artificial Markets Computational Economics
In recent years, the worlds of Economy and Finance has benefited from a tremendous stream of innovations coming from the computer science community. Among others, simulation techniques have allowed to test new methods in algorithmic trading while new regulation or market innovations have imposed to optimize the automation of trade execution, in an increasingly complex financial system. Artificial Intelligence, in this context, finds a new field of amazing applications.
This workshop of the PAAMS 2018 conference will focus on the application of agents and all artificial intelligence techniques applied to the fields of Economics or Finance. Areas of special interest include but are not limited to simulation, ACE, algorithmic trading, agent-based artificial markets, high performance trading, smart grids, design of artificial traders, market and policy design, auctions, matching mechanism designs, Economics Education with ABM...
paams.net/workshops/abam
WS04-AMSC
Agents-based Solutions for Manufacturing and Supply Chain
The AMSC 2018 workshop is a forum to share ideas, projects, researches results, applications, experiences etc. associated with agent-based solutions for various issues in manufacturing and supply chains. This workshop will be held in Toledo (Spain) as the part of International Conference on Practical Applications of Agents and Multi-Agent Systems 2018 (PAAMS 2018).
Supply chain concept includes many aspects. Talking about the issue of supply chain, many aspects have to be consider, like: inventory management, places to stock goods, flow of materials throughout the chain, way of transport the goods and many others. Second important issue is a production. There are many emerging issues, like: resource allocation, production planning, production scheduling and control, materials flow etc. Currently, many method and solutions for this area have been defined, however, still further improvements are sought. The aim of AMSC workshop is to provide a platform for discussion about the new multi-agent solutions that may be successfully applied for improvement of manufacturing operations and supply chain management. Both theoretical and practical approaches in the area are welcome.
paams.net/workshops/amsc
WS05-CNSC
MAS for Complex Networks and Social Computation
Many of the systems that can be found in our environment can be modeled as complex adaptive systems that consist of a dynamic network of agents (which may represent individuals, businesses, services, resources) that perform a set of activities in parallel and react to what other agents are doing. Multi-agent systems are considered a suitable tool for the study of complex adaptive systems and specially those distributed and dynamic. The Workshop MAS for Complex Networks and Social Computation is focused on providing a forum in which researchers from many disciplines and methodological backgrounds discuss ideas, research questions, recent results, and future challenges in this emerging area of research and public interest.
paams.net/workshops/cnsc
WS06-DeMaDIE
Decision Making in Dynamic Information Environments
In multi-agent systems, an agent which is dependent on the arrival of information from other agents may have to suspend processes if communication fails or if the information is simply not available. In most cases, communication is not guaranteed, and even if it were, there may be other factors affecting information transfer (such as the impossibility of or delays in acquiring the information at the source). Furthermore, if there is no knowledge about the state of the world, getting the appropriate response to an event becomes impossible. Moreover, in situations which demand a negotiated outcome, negotiation is impaired by missing information or uncertainty. Thus, reaching an outcome in such situations requires the development of decision frameworks that account for missing, contradictory or uncertain information.
paams.net/workshops/demadie
WS07-ISCIF
Intelligent Systems and Context Information Fusion
This workshops is aimed at discussing research to develop information fusion methods using intelligent systems. These methods provide information fusion systems with advanced capabilities that allow them to have a dynamic response in view of potential changing situations in the environment. These systems are appropriate for developing dynamic and distributed systems, as they possess the capability of adapting themselves to the users and environmental characteristics. Both theoretical and practical approaches in the area are welcomed.
It will promote a forum for discussion on how Intelligent Systems and information fusion techniques, methods, and tools help system designers to accomplish the mapping between available technology and application needs. Other stakeholders should be rewarded with a better understanding of the potential and challenges of the Intelligent Systems in the information fusion approach.
This workshops intends to bring together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on the application of intelligent systems for information fusion, to discuss and debate the major issues, and to showcase the latest systems.
paams.net/workshops/iscif
WS08-MASGES
Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems
The electrical power industry has evolved into a distributed and competitive industry in which market forces drive the price of energy. Deregulation led to the establishment of wholesale markets, where competing generators can offer their electricity output to retailers, and retail markets, where end-use customers can choose their suppliers. Electricity markets are indeed a complex and evolving reality, meaning that researchers lack insight into numerous open problems that are being raised. Chief among these is the need of new market designs to manage the variability and uncertainty of the increasing levels of renewable generation.
Also, future power systems will integrate a large number of distributed energy resources and new players. Smart Grids are intrinsically linked to the challenges raised by new power systems and are expected to improve their efficiency and effectiveness, while ensuring reliability and a secure delivery of electricity to end-users. They should be capable of autonomously and intelligently configuring themselves to make the most efficient use of the available resources, to be robust to different kinds of failures and energy production deviations, and to be extendable and adaptable in the face of the rapidly changing technologies and requirements.
The distributed nature of all these systems, and the autonomous behaviour expected for them, points towards software agents and multi-agent systems as a foundation for their realisation and deployment. Accordingly, the focus of this workshop is on the application of software agents and multi-agent systems to electricity markets for integrating variable renewable energy and emerging technologies, such as smart grids, distributed generation, demand response, storage, smart homes and electrical vehicles.
paams.net/workshops/masges
WS09-MASLE
Multiagent System Based Learning Environments
The Workshop in Multiagent System Based Learning Environments (MASLE) intends to highlight the increasing impact of the Multiagent Systems (MAS) paradigm in educational learning environments in recent years.
MAS technologies have been used in different educational applications such as Intelligent Tutoring Systems (ITS), Interactive Learning Systems (ILS) and Intelligent Learning Environments (ILE) [Giraffa & Viccari, 1998; Gürer, 1998; Sklar & Richards, 2006; Viccari & Gluz, 2007]. The research focus of these field has been on improving interactivity among human and no human agents, ascribing different roles to agents (as in a classroom environment), promoting dialogue across different actors in learning environments [Self, 1992; Flores et al., 2005; Gluz et al., 2006], exploring possible ways to extract information from the application environment, such as, students' capabilities and needs [Kim & Baylor, 2007)], and finally, fostering student interactivity and building software environments in which students share their knowledge with synthetic agents, acquiring meta-cognitive abilities [Aleven et. al., 2006] . Automatic assessment is also an area in expansion where the use of data-mining techniques provide feedback from students' misconceptions and improve their results in on-line tests [Icke & Sklar, 2008].
Several new developments in Intelligent Learning Environments systems have made clear their proximity to research issues in the field of agent and multi-agent systems. Challenges around new teaching and learning environments imply two important aspects. Firstly, these systems must acquire more autonomy, and must show a skillful behaviour, which means they have to assume roles and learn how to behave in a social environment. Secondly, they must have a comprehensive understanding of the students or teacher using the system, which means having an internal representation of their beliefs and goals [Giraffa & Viccari, 1998] . Those aspects taken together put ITS research clearly in the field of agent and multi-agent systems. Moreover, interdisciplinary work across different fields has always been present in ITS research. Animated characters would provide an example of one such field (a research issue since the initial steps in Agent technology [Paiva & Machado, 1999; Rickel & Johnson, 1998; Lester at al., 1999; Saksiri et al., 2006]), leading to applications which marry entertainment with educational purposes ('edutainment'), making possible the symbiosis of things like emotional expression to create empathy with cognitive reasoning to answer 'intelligently' during agent vs. human interaction [Jaques & Viccari, 2007]
Clarifying the relationship between multi-agent systems and educational applications also improves the discussion around the background technical issues with respect to agent specific modelling languages, formal languages and agent interaction [Dillenbourg & Self, 1992; Self 1994; Mûra et al., 1998; Gluz et al., 2006].
Finally the focus on empirical research supported by the specific methodologies used in Intelligent Learning Environments, such as testing and results validation, can contribute to the discussion about testing and validating technology methodologies applied to MAS and related fields [Vicari & Gluz, 2007].
This workshop will be intended for all researchers dealing with MAS cognitive architectures for Intelligent Learning Environments, simulation (school management, class interaction), MAS social interaction (peer, collaborative and cooperative), agent-agent and human-agent interaction, interaction between peers, argumentation, Artificial Assistant and also Pedagogical agents.
paams.net/workshops/masle
WS10-SCIA
Smart Cities and Intelligent Agents
Smart Cities represent a new way of thinking about urban space by shaping a model that integrates aspects like energy efficiency, sustainable mobility, protection of the environment and economic sustainability. These aspects represent the goals for future software developments. Current cities provide potentially unlimited settings for intelligent agents to display their ability to react, act proactively, interact between themselves, or otherwise plan, learn, etc. in an intelligent, or rather human, manner.
Therefore, the objective of this workshop is to discuss the use of agent technology in the area of Smart Cities with the goal of provide intelligence to the cities. We welcome any paper about experiences on the use of agents in Smart Cities tackling issues related to smart architectures, urban simulations, intelligent infrastructure, smart transport, open data, … We also intend to address specific methodological and technological issues raised by the real deployment of agents in rich environments such as smart cities.
paams.net/workshops/scia
WS11-MAS&S
Multi-Agent Systems and Simulation
Multi-Agent Systems (MASs) provide powerful models for representing both real-world systems and applications with an appropriate degree of complexity and dynamics. MASs are designed for representing systems at different levels of complexity. They use agents as autonomous, goal-driven and interacting entities, which are organized into societies that exhibit emergent properties The agent-based model of a system can then be executed to simulate the behavior of the complete system, so that knowledge of the behaviors of the entities (micro-level) produces an understanding of the overall outcome at the system-level (macro-level).
Several research and industrial experiences have already shown that the use of MASs offers advantages in a wide range of application domains (e.g. financial, economic, social, logistic, chemical, engineering, or Internet of Things). When MASs represent software applications, they need to be validated and evaluated before their deployment and execution. Thus, methodologies that support these processes through simulation of the MAS under development are highly required. In both cases (MASs as software applications and MASs as models for the analysis of complex systems), simulation plays a crucial role that needs to be further investigated.
paams.net/workshops/mass
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