Special Issue "Algorithm Engineering for Collective Ambient Intelligence"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 March 2020).
Interests: distributed computing; algorithmic engineering; software engineering
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Interests: AmI systems interaction; human–computer interaction; user-centered design; end-user development; IoT
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Interests: artificial intelligence; multi-agent systems; logic programming
We are going through a new phase of computing evolution that involves processing capabilities in everything: objects, places, people, and processes. Devices, networks, and cloud services are being merged with people and their activities—individuals or groups—to provide new and exciting possibilities in everything we do. Such highly interconnected computational components act autonomously and intelligently through the use of software agents that seamlessly integrate humans in the loop, creating new opportunities for intelligent systems where humans and agents interact continuously. In crowd-powered systems, traditional algorithmic computing gives way to data flowing through machines and exchanged with people. The notion of crowd-algorithms is a consequence of such systems. Decisions are being made based on what data is telling us. New technologies allow the interpretation of data without demanding our full attention. New methods enable the integration of data with our daily activities without requiring us to deviate from our usual behavior.
The aim of this Special Issue is to bring together researchers and practitioners from the fields of science, engineering, and design working towards the vision of Collective Ambient Intelligence. Current work on Ambient Intelligence is focusing more on how individual systems/devices are offering smart services individually but are ignoring the collective (set of) devices that we use and carry around us and how information from them could be coordinated to be combined to achieve common goals. Of particular interest is the engineering of algorithms for behaviors of agents that can then also be used as managers for larger-scale coordination algorithms that exhibit organization and distribution of responsibility, suitable for complex problems and collective goals. It is evident that the realization of the vision of Collective Ambient Intelligence involves significant developments in terms of algorithm engineering, from the organization, exchange, and analysis of data; to interconnecting smart sensors and intelligent devices with groups of peoples; to pilots reporting recent developments in real-world deployments; to examining new issues of ethics, privacy, and security.
Relevant research topics include, but are not limited to:
- Methodologies for studying, analyzing, and engineering algorithms for Collective Ambient Intelligence;
- Algorithm engineering for data management and knowledge extraction in Collective Ambient Intelligence;
- Machine learning, data mining and big data in Collective Ambient Intelligence;
- Artificial intelligence and collaboration in Collective Ambient Intelligence;
- Security issues in Collective Ambient Intelligence;
- Privacy-enhanced, privacy-preserving, and privacy-by-design in Collective Ambient Intelligence;
- Revolutionary designs and new paradigms for real-world Collective Ambient Intelligence;
- Visualization issues for big data used for Collective Ambient Intelligence;
- Multimodal human-computer interaction in Collective Ambient Intelligence;
- Innovative usages of virtual, mixed and augmented reality in Collective Ambient Intelligence;
- Symmetric interaction in real and virtual worlds in Collective Ambient Intelligence;
- Robotic companions in Collective Ambient Intelligence;
- Pilot applications of Collective Ambient Intelligence;
- Citizen engagement and participation in Collective Ambient Intelligence;
- Maintenance issues in Collective Ambient Intelligence applications;
- Conception and evaluation of crowd-algorithms in Collective Ambient Intelligence.
Prof. Ioannis Chatzigiannakis
Prof. Vassilis-Javed Khan
Prof. Irene Mavrommati
Prof. Kostas Stathis
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.