Special Sessions
Automatic Data Understanding - ADU 2012
* CANCELLED *
Chair
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Wladyslaw Homenda Warsaw University of Technology Poland |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Scope
Data understanding is the fundamental property of human's communication. Automatic data understanding is a paradigm for communication with machines.
The paradigm of automatic data understanding includes wide spectrum of topics: data representation, data arrangements, methods of description, syntactic structuring and semantic analysis of descriptions, granulation of syntax and semantics, identification of local structures, knowledge space formation, performing structural operations and similar ones. The paradigm of automatic data understanding is a generalized methodology adaptable to different domains like technical drawings, geodesic maps, medical images, music information, written and spoken natural languages and others. Yet, detailed methods, algorithms and techniques derived from the paradigm of automatic data understanding are domain dependent.
The aim of this Session is to bring together different representative actors, to exchange ideas, to debate divergences and to construct convergences around the paradigm of automatic data understanding. Original contributions describing research ideas, case studies and new findings on methodological and technological aspects related to this paradigm are warmly welcomed.
Data understanding is the fundamental property of human's communication. Automatic data understanding is a paradigm for communication with machines.
The paradigm of automatic data understanding includes wide spectrum of topics: data representation, data arrangements, methods of description, syntactic structuring and semantic analysis of descriptions, granulation of syntax and semantics, identification of local structures, knowledge space formation, performing structural operations and similar ones. The paradigm of automatic data understanding is a generalized methodology adaptable to different domains like technical drawings, geodesic maps, medical images, music information, written and spoken natural languages and others. Yet, detailed methods, algorithms and techniques derived from the paradigm of automatic data understanding are domain dependent.
The aim of this Session is to bring together different representative actors, to exchange ideas, to debate divergences and to construct convergences around the paradigm of automatic data understanding. Original contributions describing research ideas, case studies and new findings on methodological and technological aspects related to this paradigm are warmly welcomed.
AI Methods for Interdisciplinary Research in Language and Biology - BILC 2012
* CANCELLED *
Co-chairs
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Gemma Bel-Enguix GRLMC - Research Group on Mathematical Linguistics, Universitat Rovira i Virgili Spain |
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Maria Dolores Jiménez López GRLMC - Research Group on Mathematical Linguistics, Universitat Rovira i Virgili Spain |
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Alfonso Ortega De La Puente Departamento de Ingeniería Informática, Universidad Autónoma de Madrid Spain |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Scope
During the 20th century, biology has become a pilot science, so that many disciplines have formulated their theories under models taken from biology. Computer science has become almost a bio-inspired field thanks to the great development of natural computing and DNA computing. From linguistics, several attempts to establish structural parallelisms between DNA sequences and verbal language have been made (Jakobson, 1973, Marcus, 1998, Ji, 2002). In general, it can be stated that formal languages and Natural Language Processing (NLP) can take great advantage of the structural and "semantic" similarities between those codes and other bio-inspired computing models. Therefore, NLP could become another "bio-inspired" science, by means of theoretical computer science, that provides the theoretical tools and formalizations which are necessary for approaching such exchange of methodology. In this way, we obtain a theoretical framework where biology, NLP and computer science exchange models and interact, thanks to the semiotic parallelisms that are being uncovered between the genetic code and natural language.
Artificial intelligence methods could be relevant for interdisciplinary research in language and biology. Important topics in this interplay where AI methods could be interesting are the following:
a) Modelling cognitive capabilities for producing language.
b) Modelling tools for verbal language and nucleic acid language comprehension.
c) Modelling human learning to achieve automatic learning.
d) Modelling language evolution.
During the 20th century, biology has become a pilot science, so that many disciplines have formulated their theories under models taken from biology. Computer science has become almost a bio-inspired field thanks to the great development of natural computing and DNA computing. From linguistics, several attempts to establish structural parallelisms between DNA sequences and verbal language have been made (Jakobson, 1973, Marcus, 1998, Ji, 2002). In general, it can be stated that formal languages and Natural Language Processing (NLP) can take great advantage of the structural and "semantic" similarities between those codes and other bio-inspired computing models. Therefore, NLP could become another "bio-inspired" science, by means of theoretical computer science, that provides the theoretical tools and formalizations which are necessary for approaching such exchange of methodology. In this way, we obtain a theoretical framework where biology, NLP and computer science exchange models and interact, thanks to the semiotic parallelisms that are being uncovered between the genetic code and natural language.
Artificial intelligence methods could be relevant for interdisciplinary research in language and biology. Important topics in this interplay where AI methods could be interesting are the following:
a) Modelling cognitive capabilities for producing language.
b) Modelling tools for verbal language and nucleic acid language comprehension.
c) Modelling human learning to achieve automatic learning.
d) Modelling language evolution.
Computational Creativity - SSCC 2012
* CANCELLED *
Chair
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Amílcar Cardoso University of Coimbra Portugal |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Topics
- Computational Paradigms for Understanding Creativity;
- Agent-based and Multi-agent based Architectures for Creativity-oriented Computing;
- Metrics, Frameworks and Formalizations for the Evaluation of Novelty and Originality in Computational Systems;
- Computational Tools for Supporting Creativity (i.e., Machine-enhanced Creativity);
- Creativity-oriented Computing in Learning, Teaching, and other aspects of Education;
- Specific Computational Applications to Music, Language, Narrative, Arts, Architecture, Design, Scientific Discovery, Education and Entertainment.
- Computational Paradigms for Understanding Creativity;
- Agent-based and Multi-agent based Architectures for Creativity-oriented Computing;
- Metrics, Frameworks and Formalizations for the Evaluation of Novelty and Originality in Computational Systems;
- Computational Tools for Supporting Creativity (i.e., Machine-enhanced Creativity);
- Creativity-oriented Computing in Learning, Teaching, and other aspects of Education;
- Specific Computational Applications to Music, Language, Narrative, Arts, Architecture, Design, Scientific Discovery, Education and Entertainment.
Agents and Ambient Intelligence - AgAmI 2012
* CANCELLED *
Chair
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Paulo Novais University of Minho Portugal |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Scope
Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence, where computers are used as proactive tools assisting people with their day-to-day activities, making life more comfortable.
Agents and Multi-Agent Systems represent an alternative that is interesting and stimulating to meet the challenges posed by AmI Environments. Agents have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing systems based on AmI.
Throughout the development of AmI several sub-topics have emerged to overcome problems that are related to AmI but are imposed mostly in other areas, creating a diverse multitude of Agent applications transversal to several different areas.
Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence, where computers are used as proactive tools assisting people with their day-to-day activities, making life more comfortable.
Agents and Multi-Agent Systems represent an alternative that is interesting and stimulating to meet the challenges posed by AmI Environments. Agents have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing systems based on AmI.
Throughout the development of AmI several sub-topics have emerged to overcome problems that are related to AmI but are imposed mostly in other areas, creating a diverse multitude of Agent applications transversal to several different areas.
Cognitive Modeling & Interaction - CMI 2012
* CANCELLED *
Chair
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Joaquim Filipe Polytechnic Institute of Setúbal INSTICC Portugal |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Topics
- AI & Creativity
- Ambient Intelligence
- Artificial Life
- Emotions
- Human-Computer Interaction
- Human Experimentation
- Instruction & Teaching
- Intelligent User Interfaces
- Memory
- Neuroscience
- Perception & Performance
- Personalisation & User Profiling
- Philosophical Foundations
- Recommender Systems
- Skill Acquisition & Learning
- User & Context Modelling
- Usage Analysis & Usage Mining
- Web Usability & Accessibility
- AI & Creativity
- Ambient Intelligence
- Artificial Life
- Emotions
- Human-Computer Interaction
- Human Experimentation
- Instruction & Teaching
- Intelligent User Interfaces
- Memory
- Neuroscience
- Perception & Performance
- Personalisation & User Profiling
- Philosophical Foundations
- Recommender Systems
- Skill Acquisition & Learning
- User & Context Modelling
- Usage Analysis & Usage Mining
- Web Usability & Accessibility
Machine Learning - SSML 2012
Paper Submission: October 31, 2011 (expired)
Authors Notification: November 23, 2011 (expired)
Final Paper Submission and Registration: December 5, 2011 (expired)
Authors Notification: November 23, 2011 (expired)
Final Paper Submission and Registration: December 5, 2011 (expired)
Chair
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Ana Fred Technical University of Lisbon / IT Portugal |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Topics
- Adaptive Systems
- Bayesian Learning
- Clustering
- Data Mining
- Decision Tree & Rule Learning
- Dimension Reduction
- Ensemble Methods
- Evolutionary Computing
- Information Extraction
- Kernel Methods
- Knowledge Discovery
- Machine Learning Applications
- Multiagent Learning
- Neural Networks
- Reinforcement Learning
- Unsupervised Learning
- Adaptive Systems
- Bayesian Learning
- Clustering
- Data Mining
- Decision Tree & Rule Learning
- Dimension Reduction
- Ensemble Methods
- Evolutionary Computing
- Information Extraction
- Kernel Methods
- Knowledge Discovery
- Machine Learning Applications
- Multiagent Learning
- Neural Networks
- Reinforcement Learning
- Unsupervised Learning
Intelligent Robotics - SSIR 2012
Paper Submission: October 31, 2011 (expired)
Authors Notification: November 23, 2011 (expired)
Final Paper Submission and Registration: December 5, 2011 (expired)
Authors Notification: November 23, 2011 (expired)
Final Paper Submission and Registration: December 5, 2011 (expired)
Chair
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Luís Paulo Reis University of Minho / LIACC Portugal |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Topics
- Robot Architectures
- Human-Robot Interaction
- Simulation of Robotic Systems
- Estimation & Learning for Robotic Systems
- Exploration
- Motion Planning
- Multi-Robot Systems
- Swarm Intelligence
- Robot Navigation
- Robot Programming Environments & Languages
- Search & Rescue Robots
- Sensory Planning
- Service Robots
- Task Planning
- Robotic Art
- Robot Architectures
- Human-Robot Interaction
- Simulation of Robotic Systems
- Estimation & Learning for Robotic Systems
- Exploration
- Motion Planning
- Multi-Robot Systems
- Swarm Intelligence
- Robot Navigation
- Robot Programming Environments & Languages
- Search & Rescue Robots
- Sensory Planning
- Service Robots
- Task Planning
- Robotic Art
Intelligent Multi-Agent Systems - IMAS 2012
* CANCELLED *
Chair
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Frank Dignum Utrecht University The Netherlands |
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All papers accepted in Special Sessions will be included in the conference proceedings and indexed.
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Scope
Intelligent Multi-Agent Systems are characterized in many different ways, as the notion of intelligent agent itself reunites no consensus around any one particular definition. This is apparently due to the multitude of application areas and also to a multifaceted notion of agent, precluding any particular definition to apply satisfactorily to every real world case. Intelligent agents can exist as distributed software in different kinds of networks, embodied robotic artifacts, simulated societies, or even as metaphors for humans in social activities. Some of the most widely accepted characteristics of an intelligent agent include: autonomy, social ability, reactivity and pro-activeness.
The IMAS special session is a forum for researchers and practitioners to meet and share experiences, theoretical knowledge or application examples based on hardware or software agents. All accepted papers will be included in the ICAART conference technical program, either as oral presentations or as posters, and the proceedings will be indexed by major international indexes such as EI, ISI/Thomson Reuters Proceedings Citation Index, DBLP and INSPEC.
Intelligent Multi-Agent Systems are characterized in many different ways, as the notion of intelligent agent itself reunites no consensus around any one particular definition. This is apparently due to the multitude of application areas and also to a multifaceted notion of agent, precluding any particular definition to apply satisfactorily to every real world case. Intelligent agents can exist as distributed software in different kinds of networks, embodied robotic artifacts, simulated societies, or even as metaphors for humans in social activities. Some of the most widely accepted characteristics of an intelligent agent include: autonomy, social ability, reactivity and pro-activeness.
The IMAS special session is a forum for researchers and practitioners to meet and share experiences, theoretical knowledge or application examples based on hardware or software agents. All accepted papers will be included in the ICAART conference technical program, either as oral presentations or as posters, and the proceedings will be indexed by major international indexes such as EI, ISI/Thomson Reuters Proceedings Citation Index, DBLP and INSPEC.
