[rede.APPIA] Lembrete: Chamada à Organização do EAIA 2018 e EPIA 2019

Aos Associados da APPIA:
A APPIA tem, entre os seus objectivos estatutariamente estabelecidos, o estímulo à investigação e aplicação prática da Inteligência Artificial (IA), promovido através da realização de conferências, colóquios e mesas redondas.
À Direcção da APPIA compete, em particular, para o cumprimento dos objectivos gerais estabelecidos, organizar anualmente um encontro na área científica da IA.
Deste modo, a Direcção da APPIA vem convidar os seus associados a candidatar-se à organização dos seguintes eventos: – EAIA 2018 – 11ª Escola Avançada de Inteligência Artificial; – EPIA 2019 – 19º Encontro Português de Inteligência Artificial.
As candidaturas à organização de Eventos APPIA deverão ser preparadas de acordo com o descrito no documento “Procedimentos de Candidatura à Organização de Eventos APPIA” (em anexo e disponível em www.appia.pt).
As condições particulares para a organização da EAIA 2018 e EPIA 2019 estabelecem-se nos respetivos documentos “Chamada à Organização do EAIA 2018” e “Chamada à Organização do EPIA 2019” (também em anexo e disponível em www.appia.pt).
www.appia.pt/2017/06/23/chamada-a-organizacao-do-eaia-2018-e-epia-2019/
A Direcção da APPIA
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Associação Portuguesa Para a Inteligência Artificial Universidade do Minho Departamento de Informática Campus de Gualtar 4710-057 Braga PORTUGAL
Tel: +351 604 470 Fax: +351 604 471 e-mail: infos at appia.pt

[rede.APPIA] CfP EvoMusArt 2018

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Call for papers for the 7th EVOMUSART conference
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The 7th International Conference on Computational Intelligence in Music, Sound, Art and Design (evoMUSART) will be held in Parma in 4-6 April 2018, as part of the evo* event. The main goal of EvoMusArt is to bring together researchers who are using Computational Intelligence techniques for artistic tasks such as visual art, music, architecture, video, digital games, poetry, or design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area.


Important dates:
Submission: 1 November 2017
Notification to authors: 3 January 2018
Camera-ready deadline: 15 January 2018
Evo*: 4-6 April 2018

We welcome submissions which use Computational Intelligence techniques (e.g. Evolutionary Computation, Artificial Life, Machine Learning, Swarm Intelligence) in the generation, analysis and interpretation of art, music, design, architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Each submission must be anonymised for a double-blind review process and submitted to http://myreview.csregistry.org/evomusart18/ (which should be online soon). The deadline for submission is 1 November 2017, and acceptance notification on 3 January 2018. Accepted papers will be presented orally or as posters at the event and included in the evoMUSART proceedings published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series.

Topics of interest include, but are not limited to:
Generation:
* Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.;
* Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.;
* Systems that create artifacts such as game content, architecture, furniture, based on aesthetic and functional criteria.
* Robotic-Based Evolutionary Art and Music;
* Other related artificial intelligence or generative techniques in the fields of Computer Music, Computer Art, etc.;

Theory:
* Computational Aesthetics, Experimental Aesthetics; Emotional Response, Surprise, Novelty;
* Representation techniques;
* Surveys of the current state-of-the-art in the area; identification of weaknesses and strengths; comparative analysis and classification;
* Validation methodologies;
* Studies on the applicability of these techniques to related areas;
* New models designed to promote the creative potential of biologically inspired computation;

Computer Aided Creativity and computational creativity:
* Systems in which computational intelligence is used to promote the creativity of a human user;
* New ways of integrating the user in the evolutionary cycle;
* Analysis and evaluation of: the artistic potential of biologically inspired art and music; the artistic processes inherent to these approaches; the resulting artefacts;
* Collaborative distributed artificial art environments;

Automation:
* Techniques for automatic fitness assignment
* Systems in which an analysis or interpretation of the artworks is used in conjunction with computational intelligence techniques to produce novel objects;
* Systems that resort to computational intelligence approaches to perform the analysis of image, music, sound, sculpture, or some other types of artistic object or resource.

More information on the submission process of evoMUSART 2018 can be found at http://www.evostar.org/2018/cfp_evomusart.php 
Past Evomusart papers can be found http://evomusart-index.dei.uc.pt/

We look forward to seeing you in Parma in 2018!

The evoMUSART 2018 organisers

[rede.APPIA] CfP Cognitive IoT 2017: deadline July 15th

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CALL FOR PAPERS

Cognitive IoT 2017 – 1st International Workshop on Empowering IoT with Cognition and Intelligent Agents

Organized in the scope of
ACM SenSys 2017 – 15th ACM Conference on Embedded Networked Sensor Systems
Delft, The Netherlands, November 6-8, 2017
http://sensys.acm.org/2017/

Keywords: Internet of Things; People-IoT interactions; Multi-agent systems; Cognitive systems; Affective computing; Ambient intelligence.

Scope: Recent advances in the Internet of Things (IoT), particularly in the definition of new reference architectures, such as FIWARE, go towards a growing integration of the physical, social and cyber spaces. The IoT supporting technologies are becoming robust, viable, cheaper and widely available to citizens. The delivery of low-cost people-centric services through IoT is becoming increasingly viable, which is giving rise to the emergence of a people-centric IoT. This also raises the need for smarter, context-aware and cognitive-based services to be provided through these platforms. Moreover, the distributed characteristics of IoT resources leads to increasing needs for autonomy, reactivity, proactivity and social ability, characteristics that intelligent agents have been tackling in the last decades.
      This workshop intends to bring together researchers working on the confluence of intelligent and cognitive systems with the Internet of Things and related areas. We aim to provide the opportunity to promote the presentation and discussion of ongoing work in the area, which will encourage cross-fertilization between various current approaches. In this context, we welcome papers describing ongoing work the confluence of intelligent and cognitive systems with the Internet of Things, including, but not limited to, the following topics:

* Intelligent systems for IoT
* Multi-Agent Systems for IoT
* Cognitive services for IoT
* Context awareness in IoT
* Human in the Loop
* Cyber Physical Systems
* People-centric systems and solutions
* People-IoT Interactions
* Cloud-based People-centric IoT Applications and Environments
* Affective Computing in IoT
* Machine learning for IoT
* IoT for Ambient Intelligence
* Distributed security in Cognitive IoT

Submissions must be made through the main conference site: 
http://sensys.acm.org/2017/


Important dates

Submission deadline: July 15th, 2017
Notification of acceptance: September 15th, 2017
Camera-Ready papers: September 22nd, 2017

Workshop co-chairs

Fernando Boavida, University of Coimbra, Portugal
Takahiro Hara, Osaka University, Japan
Nic Lane, University College London, United Kingdom 

Technical Program Committee (more committee members may be added)

Amílcar Cardoso, University of Coimbra, Portugal
Carlos Carrascosa, Universidad Politecnica de Valencia, Spain
José Luis Castillo Sequera, University of Alcalá, Spain
Ioannis Chatzigiannakis, University of Rome La Sapienza, Italy
Juan M. Corchado, University of Salamanca, Spain
Edward Curry, National University of Ireland Galway, Ireland
Kevin Doolin, TSSG, Waterford Institute of Technology, Ireland
Antonio Fernández Anta, IMDEA Networks, Spain
Fernando Ferri, Consiglio Nazionale delle Ricerche, IRPPS, Italy
Cathal Gurrin, Dublin City University / Insight Centre for Data Analytics, Ireland
Antonio Loureiro, Universidade Federal de Minas Gerais, Brazil
Luis Macedo, University of Coimbra, Portugal
Andreas Mauthe, University of Lancaster, UK
Alexandre Miguel Pinto, University of Lisbon, Portugal
Paulo Novais, Universidade do Minho, Portugal
Vasco Pereira, University of Coimbra, Portugal
Ricardo Rabelo, Federal University of Ouro Preto, Brazil
André Rodrigues, ISCAC, Portugal
Jorge Sá Silva, University of Coimbra, Portugal
Antonio Skarmeta, University of Murcia, Spain
Kåre Synnes, Luleå University of Technology, Sweden
Victoria Torres Bosch, Universidad Politécnica de Valencia, Spain
Kevin Wang, Auckland University, New Zealand
Marco Zennaro, The Abdus Salam International Centre for Theoretical Physics, Italy
Pei Zhang, Carnegie Mellon University, USA

[rede.APPIA] Chamada à Organização do EAIA 2018 e EPIA 2019

Aos Associados da APPIA:
A APPIA tem, entre os seus objectivos estatutariamente estabelecidos, o estímulo à investigação e aplicação prática da Inteligência Artificial (IA), promovido através da realização de conferências, colóquios e mesas redondas.
À Direcção da APPIA compete, em particular, para o cumprimento dos objectivos gerais estabelecidos, organizar anualmente um encontro na área científica da IA.
Deste modo, a Direcção da APPIA vem convidar os seus associados a candidatar-se à organização dos seguintes eventos: – EAIA 2018 – 11ª Escola Avançada de Inteligência Artificial; – EPIA 2019 – 19º Encontro Português de Inteligência Artificial.
As candidaturas à organização de Eventos APPIA deverão ser preparadas de acordo com o descrito no documento “Procedimentos de Candidatura à Organização de Eventos APPIA” (em anexo e disponível em www.appia.pt).
As condições particulares para a organização da EAIA 2018 e EPIA 2019 estabelecem-se nos respetivos documentos “Chamada à Organização do EAIA 2018” e “Chamada à Organização do EPIA 2019” (também em anexo e disponível em www.appia.pt).
www.appia.pt/2017/06/23/chamada-a-organizacao-do-eaia-2018-e-epia-2019/
A Direcção da APPIA
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Associação Portuguesa Para a Inteligência Artificial Universidade do Minho Departamento de Informática Campus de Gualtar 4710-057 Braga PORTUGAL
Tel: +351 604 470 Fax: +351 604 471 e-mail: infos at appia.pt

[rede.APPIA] Pagamento de Quotas

Caros colegas

A direção da APPIA gostaria de relembrar que se encontram em pagamento as quotas anuais,  no valor de 15 euros cada. O pagamento deve ser efectuado por transferência bancária para o IBAN da APPIA: PT50 0035 2154 00013689930 30. Agradecemos o envio do comprovativo de transferência, para efetuar a actualização dos dados.

Caso pretendam consultar a última quota paga é possível faze-lo no site da APPIA após fazer login, que está disponível no lado direito da página no separador META.

Aproveitamos para relembrar que o EPIA 2017 decorrerá no Porto de 5 a 8 de Setembro (https://web.fe.up.pt/~epia2017/).

Pela Direcção da APPIA,

Goreti Marreiros

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ISEP/IPP – Engineering Institute – Polytechnic of Porto
Sub-Director of GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development
Vice president of the Portuguese Association of Artificial Intelligence
Rua Dr. António Bernardino de Almeida, 431; 4200-072 Porto – Portugal
Email: mgt@isep.ipp.pt ; gormarreiros@gmail.com
Web: www.gecad.isep.ipp.pt
Phone: +351-22-8340511
Fax: +351-22-8321159



[rede.APPIA] CFP for AutoML workshop at ECML/PKDD-2017

CALL FOR PAPERS
The ECML-PKDD 2017 Workshop on Automatic Machine Learning (AutoML) 
Collocated with ECML-PKDD in Skopje, Macedonia, September 22, 2017
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Important Dates:
 Submission deadline: 10 July, 2017, 11:59pm UTC-12 (July 10 anywhere in the world)
 Notification: 30 July, 2017
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AutoML: Automatic selection, configuration and composition of machine learning algorithms
This workshop will provide a platform for discussing recent developments in the areas of meta-learning, algorithm selection and configuration, which arise in many diverse domains and are increasingly relevant today. Researchers and practitioners from all areas of science and technology face a large choice of parameterized machine learning algorithms, with little guidance as to which techniques to use in a given application context. Moreover, data mining challenges frequently remind us that algorithm selection and configuration are crucial in order to achieve cutting-edge performance, and drive industrial applications. Meta-learning leverages knowledge of past algorithm applications to select the best techniques for future applications, and offers effective techniques that are superior to humans both in terms of the end result and especially in the time required to achieve it. In this workshop, we will discuss different ways of exploiting meta-learning techniques to identify the potentially best algorithm(s) for a new task, based on meta-level information, including prior experiments on both past datasets and the current one. Many contemporary problems also require the use of complex workflows that consist of several processes or operations. Constructing such complex workflows requires extensive expertise, and could be greatly facilitated by leveraging planning, meta-learning and intelligent system design. This task is inherently interdisciplinary, as it builds on expertise in various areas of AI.
Main research areas of relevance to this workshop include, but are not limited to:
– Algorithm / model selection and configuration
– Meta-learning and exploitation of meta-knowledge
– Hyperparameter optimization
– Automatic generation and evaluation of learning processes / workflows
– Representation learning and automatic feature extraction / construction
– Automatic feature coding / transformation
– Automatic detection and handling skewed data or missing values
– Automatic acquisition of new data (active learning, experimental design)
– Usage of planners in the construction of workflows
– Reinforcement learning for parameter control & algorithm design
– Representation of learning goals and states in learning
– Control and coordination of learning processes
– Meta-reasoning
– Layered learning
– Multi-task and transfer learning
– Learning to learn
– Intelligent experiment design
Co-chairs: Frank Hutter, Holger Hoos, Pavel Brazdil and Joaquin Vanschoren
We welcome standard submissions of up to 6 pages (not including references) in ECML-PKDD format, as well as longer papers of up to 15 pages (not including references).
For further details, please see the submission page; the submission deadline is July 10th, 2017.
All accepted papers will be presented as posters and very short poster spotlights; the best paper(s) will be selected for an oral presentation.
At least one author of each accepted paper should be registered for the main conference.

[rede.APPIA] Talk @ ISLab Series :: DIVAS 4.0: A Framework for the development of situated multi-agent based simulation systems

Convite à Participação
O ISLab (islab.di.uminho.pt), no âmbito do Perfil em Sistemas Inteligentes do Mestrado Integrado em Engenharia Informática (miei.di.uminho.pt), organiza no dia 5 de junho de 2017 pelas 11h00 no DI-A2, uma palestra por Mohammad Al-Zinati, da Jordan University of Science and Technology (Jordan), intitulada “DIVAs 4.0: A Framework for the Development of Situated Multi-Agent Based Simulation Systems”.
Convidam-se todos os interessados a participar neste evento.
Mais informações em: islab.di.uminho.pt/islab/islabseries/p15.php
Cumprimentos Paulo Novais e Cesar Analide

ORADOR Mohammad Al-Zinati, Jordan University of Science and Technology (Jordan)
LOCAL Auditório DI-A2 Departamento de Informática Universidade do Minho Campus de Gualtar, Braga
DATA & HORA Segunda-feira, 5.junho.2017 11h00
RESUMO In this talk we present DIVAs 4.0, a framework that supports the development of large-scale agent-based simulation systems where agents are situated in open environments. DIVAs includes high-level abstractions for the definition of agents and open environments, a microkernel for the management of the simulation workflow, domain-specific libraries for the rapid development of simulations, and reusable, extendable components for the control and visualization of simulations. We illustrate the use of DIVAs through the development of a simple simulator where virtual agents are situated in a virtual city.