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Due to several requests, we decided to extend the submission deadline to July 21, 2014. This is a hard deadline and no further extension will be given. In addition, authors will have a change to provide feedback on reviewers' comments to point out any technical errors between August 24-26, 2014.
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The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which concentrates on AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.
The Program Committee invites technical papers on substantial, original, and unpublished research in all aspects of Artificial Intelligence. PRICAI-2014 aims to bring together a large and diverse community, which includes practitioners, researchers, educators, and users.
Topics
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AI foundations
Applications of AI
Agents
Bayesian networks
Bioinformatics
Bio-inspired intelligence
Cognitive systems
Constraint satisfaction
Data mining and knowledge discovery
Decision theory
Education and tutoring systems
Evolutionary computation
Games and interactive entertainment
Heuristics
Information retrieval and extraction
Knowledge acquisition and ontology
Knowledge representation
Machine learning
Markov networks
Multimedia and arts
Multimodal interaction
Natural language processing
Neural networks
Planning and scheduling
Probabilistic inference
Reasoning
Robotics
Search
Text/Web/Internet mining
Social intelligence
Speech and dialogue systems
Uncertainty
Vision and perception
Others
Paper Submission
----------------
Proceedings will be published by Springer as a volume of Lecture Notes in Artificial Intelligence (LNAI) series. All papers should be submitted electronically using the conference management tool in PDF/DOC format and formatted using Springer LNAI template (http://www.springer.com/computer/lncs/lncs+authors?SGWID=0-40209-0-0-0). Submitted papers should not exceed 12 pages (excluding references). Submitted papers must not be published or under consideration to be published elsewhere.
Special Tracks
--------------
Please refer to the special calls for the following PRICAI-2014 special tracks:
- Big Data in Bioinformatics
- Commonsense Cognitive Robotics
- Intelligent Health Services
- Smart Modelling and Simulation
Call for Workshops and Tutorials
--------------------------------
The PRICAI-2014 organisers invite workshop and tutorial proposals in the area of Artificial Intelligence in various topics.
Important Dates
---------------
Paper submission deadline: July 21, 2014 (Extended deadline)
Author's feedback: August 24-26, 2014
Paper acceptance notification: September 7, 2014
Camera-ready submission: September 19, 2014
Workshop proposals: June 15, 2014
Tutorial proposals: June 15, 2014
Conference dates: December 1-5, 2014
========================================================================================================================
Special track on:
BIG DATA IN BIOINFORMATICS
Track chairs:
Yaoqi Zhou
Griffith University
Australia
Jack Chen
Indiana University Purdue University
USA
The era of big data poses new challenges and opportunities for bioinformatics researchers. On one hand, big data requires significantly more efficient storage and data management solutions that seem impossible or infeasible to implement even a few years ago. On the other hand, big data presents significant opportunities in uncovering hidden patterns in data and building predictive models for practical biomedical applications. The special session on Big Data in Bioinformatics (BDB) aims to bring together researchers in database management, data/text mining, artificial intelligence, computational biology, bioinformatics to discuss research challenges and cutting edge techniques in handling big biological data.
The topics of BDB include but are not limited to:
* Machine learning techniques in high-volume and high velocity biological data
* Biomarker discovery from large Omics data sets
* Computational systems biology using next-generation sequencing data
* Text mining of medical records or biological text including social media
* Structural bioinformatics.
* Network biology and medicine
* In silico modelling of drug discovery using high-throughput molecular connectivity mapping data and Omics
* Any other topics involving data mining of large-scale biological data.
TRACK CHAIRS
Prof. Yaoqi Zhou
School of Information and Communication Technology,
Griffith University, Gold Coast, Parklands Dr, Southport, QLD4222, Australia
yaoqi.zhou@griffith.edu.au
A/Prof. Jack Chen
Indiana University School of Informatics and Computing
Indiana University Purdue University, Indianapolis, Indiana 46202, USA
jackchen@iupui.edu
SUBMISSION GUIDELINES
All submission and publication guidelines announced for the PRICAI 2014 conference will be applicable for this special track.
Paper Submission: Papers submitted to the special session and the main conference will use the same submission system. Please choose 밄ig Data in Bioinformatics?special track / session as the applicable track.
Publication: All papers submitted will be peer-reviewed using the same criteria of PRICAI-14. The accepted papers will be included in the conference proceedings of PRICAI-14, which will be published by Springer as a volume of LNAI series.
Important Dates: Please refer to applicable PRICAI 2014 Important Dates page for paper submission deadline, paper acceptance notification, camera-ready due date, etc.
========================================================================================================================
Special track on:
COMMONSENSE COGNITIVE ROBOTICS
Track chairs:
Mehul Bhatt
University of Bremen
Germany
Michael Spranger
Sony Computer Science Laboratories
Tokyo, Japan
Humans, robots, and systems that act, and interact, are embedded in space, and this change is often the result of actions and events. Actions and events are a critical link to the external world, in a predictive as well as an explanatory sense: anticipations of spatial or perceivable reality conform to our commonsense knowledge of the effects of actions and events in the real world. Similarly, explanations of the perceived reality (e.g., by humans, robots, systems) also are established on the basis of apriori known or acquired commonsense laws. Methods and tools for integrated commonsense reasoning about space, actions and change are therefore of paradigmatic importance from the viewpoint of both theoretical as well as application-driven goals.
Cognitively motivated high-level commonsense reasoning, action, control, and interaction capabilities for robotic systems typically pertains to everyday activities and problem solving. In this context, high-level commonsense reasoning, and associated cognitively inspired functional benchmarks promise to become a fundamental aspect of robotic cognitive assistance systems and technologies that will accompany us in daily personal and professional activities. Formal representational and computational methods for handling commonsense qualitative phenomena -- e.g., involving the perception of space, time, events, actions, change, causality, processes - will be at the heart of collaborative cognitive systems and assistive technologies aimed at high-level control of autonomous robotic systems.
The special track especially emphasizes and solicits research papers concerned with the development of systematic models, methods, and tools for commonsense and qualitative representation and reasoning that may be seamlessly integrated within robotics projects in particular, and large-scale artificial intelligence projects, cognitive (assistance) systems, industrial automation systems, and hybrid intelligent systems in general. Methods and perspectives at the interface of artificial intelligence and cognitive science are especially welcome.
Core topics and areas of interest include:
* Commonsense Reasoning
* Qualitative Reasoning
* Language, Ontology, and Space
* Computational Models of Narrative
* Spatial Cognition, Computation and Semantics
* Computational Cognitive Systems
* Mental model based theories of thinking and reasoning
In particular, we emphasize:
* Reasoning about Space, Actions, and Change
* Visuo-Spatial Representation and Reasoning
* Geometric, and qualitative spatial reasoning
* Qualitative abstractions of Motion, Shape, Visibility
* Abductive Reasoning
* Integrated Symbolic and Probabilistic Representation and Reasoning
* Qualitative Learning and Grounding
* Temporal Reasoning
* Epistemic Reasoning, Belief Revision
* Functional Affordance Learning and Reasoning
* Cognitive Vision
* Mental Model Theory, and its Applications in Robotics
TRACK CHAIRS
Mehul Bhatt
Cognitive Systems, and
Spatial Cognition Research Center (SFB/TR 8)
Department of Computer Science
University of Bremen, Germany
www.mehulbhatt.org
Michael Spranger
Sony Computer Science Laboratories
Tokyo, Japan
www.michael-spranger.com
SUBMISSION GUIDELINES
All submission and publication guidelines announced for the PRICAI 2014 conference will be applicable for this special track.
Paper Submission: Papers submitted to the special session and the main conference will use the same submission system. Please choose 밹ommonsense cognitive robotics?special track / session as the applicable track.
Publication: All papers submitted will be peer-reviewed using the same criteria of PRICAI-14. The accepted papers will be included in the conference proceedings of PRICAI-14, which will be published by Springer as a volume of LNAI series.
Important Dates: Please refer to applicable PRICAI 2014 Important Dates page for paper submission deadline, paper acceptance notification, camera-ready due date, etc.
========================================================================================================================
Special track on:
INTELLIGENT HEALTH SERVICES
Track chairs:
Michael Lawley
CSIRO
Australia
Anthony Nguyen
CSIRO
Australia
Faced by increasing demand for services, reduced funding and staffing, and pressures imposed by various levels of government, health services around the world are under increasing pressure to become more efficient in how they offer their services. There is a growing need for novel technologies that understand the complexities of the health system ?from operations to general practice and community care - and offer much needed productivity gains in resource usage and service delivery.
Artificial Intelligence (AI) can be used in many ways to better understand this complex system and provide solutions. Research is vital to be able to show how AI can be used and extended to meet the needs of the health system. All areas of artificial intelligence are currently being extended to take on some of these challenges. Some examples include Google뭩 efforts to use deep learning to build the Google Brain and teach machines to think and learn like humans, and the use of semantic technologies to take on the challenge of enhancing big data analytics. Translating research from labs to everyday use in hospitals and medical practice remains one of the greatest challenges for AI in the health research community.
This special session on Intelligent Health Services (IHS) aims to bring together scholars and practitioners who are using Artificial Intelligence to solve health and medical problems to present and discuss their research, share their knowledge and experiences, define key research challenges and explore collaborations to advance e-health development nationally and internationally.
The topics of IHS include but are not limited to:
* Knowledge representation and reasoning
* Clinical decision support systems
* Collaborative care and communication
* Tele-health and tele-monitoring
* Medical data mining
* Modelling and simulation
* Forecasting, planning, and scheduling
* Patient care, monitoring and diagnosis
* Natural language processing
* Intelligent health records
* Workflow and capacity optimization
* Implementation and case studies
* Agents and Multi-agent systems
TRACK CHAIRS
Dr Michael Lawley
Commonwealth Scientific and Industrial Research Organisation,
Australia
Dr Anthony Nguyen
Commonwealth Scientific and Industrial Research Organisation,
Australia
SUBMISSION GUIDELINES
All submission and publication guidelines announced for the PRICAI 2014 conference will be applicable for this special track.
Paper Submission: Papers submitted to the special session and the main conference will use the same submission system. Please choose 밒ntelligent Health Services?special track / session as the applicable track.
Publication: All papers submitted will be peer-reviewed using the same criteria of PRICAI-14. The accepted papers will be included in the conference proceedings of PRICAI-14, which will be published by Springer as a volume of LNAI series.
Important Dates: Please refer to applicable PRICAI 2014 Important Dates page for paper submission deadline, paper acceptance notification, camera-ready due date, etc.
Contact:
Dr Michael Lawley (mailto:Michael.Lawley@csiro.au)
========================================================================================================================
Special track on:
SMART MODELLING AND SIMULATION
Track chairs:
Dr. Quan Bai
Auckland University of Technology, New Zealand
A/Prof. Minjie Zhang
University of Wollongong, Australia
A/Prof. Takayuki Ito
Nagoya Institute of Technology, Japan
Computer based modelling and simulation has become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components (agents, processes, etc.), whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modelled by using traditional computational approaches due to the complex relationships of components and distributed features of resources, and dynamic work environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.
This year, we are going to organize a special session on Smart Modelling and Simulation (SMS) under the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI?4: http://www.pricai2014.org/). SMS aims to bring together researchers in both artificial intelligence and system modelling/simulation to discuss research challenges and cutting edge techniques in smart simulation and modelling.
Smart simulation and modelling is an important field in AI. We believe that this special session will attract attentions from not only AI researchers, but also domain experts who are interested in the applications of AI techniques in system modelling and simulation. The topics of the special session include but are not limited to:
* Agent based simulation for complex systems
* Agent based modelling for complex systems
* Large-scale simulations
* Network simulation and modelling
* Environment and ecosystem simulation and modelling
* Smart Grid/Service simulation and modelling
* Simulation of social and economic organizations
* Simulation of social complexity
* Cooperation, coordination, negotiation and self-organisation
* Market-based model and simulation
* Transportation model and simulation
* Crowd model and simulation
* Evacuation model and simulation
TRACK CHAIRS
Dr. Quan Bai
Auckland University of Technology, New Zealand
A/Prof. Minjie Zhang
University of Wollongong, Australia
A/Prof. Takayuki Ito
Nagoya Institute of Technology, Japan
Program Committee Members (to be confirmed)
* Dr. Guandong Xu, Victoria University, Australia
* Dr. Jeremy Pitt, Imperial College London, UK
* Dr. Ryo Kanamori, Nagoya Institute of Technology, Japan
* Dr. Enrique de La Hoz, University of Alcala, Spain
* Dr. Ivan Marsa-Maestre, Spain
* Prof. Xudong Luo, Sun Yat-sen University, China
* Dr. Qing Liu, CSIRO, Australia
* Dr. Jiamou Liu, Auckland University of Technology, New Zealand
* Dr. Naoki Fukuta, Shizuoka University, Japan
* Dr. Dayong Ye, University of Wollongong, Australia
* Dr. Fenghui Ren, University of Wollongong, Australia
* Dr. Chao Yu, University of Wollongong, Australia
SUBMISSION GUIDELINES
All submission and publication guidelines announced for the PRICAI 2014 conference will be applicable for this special track.
Paper Submission: Papers submitted to the special session and the main conference will use the same submission system. Please choose 밪mart Modelling and Simulation?special track / session as the applicable track.
Publication: All papers submitted will be peer-reviewed using the same criteria of PRICAI-14. The accepted papers will be included in the conference proceedings of PRICAI-14, which will be published by Springer as a volume of LNAI series.
Important Dates: Please refer to applicable PRICAI 2014 Important Dates page for paper submission deadline, paper acceptance notification, camera-ready due date, etc.
Contact:
Dr. Quan Bai
Auckland University of Technology
Email: quan.bai@aut.ac.nz
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