You may register online here.

Please note that if you are presenting a paper in one of the conference sessions you must choose the full conference registration or student conference registration option.

Registration fee (all fees to include GST)

Conference registration inclusions:

• Access to all conference sessions/workshops/tutorials.
• Invitation to Welcome Reception.
• Invitation to Conference dinner.
• Access to electronic proceedings.
• Conference kit.

• Access to all conference sessions/workshops/tutorials.
• Invitation to Welcome Reception.
• Invitation to Conference dinner.
• Access to electronic proceedings.
• Conference kit.

• One day access to all conference sessions/workshops/tutorials.
• Access to electronic proceedings.
• Conference kit.

• Access to PKAW workshop
• Access to PRICAI/PRIMA Keynote Address on Tuesday
• Invitation to Welcome Reception.
• Access to PKAW electronic proceedings.
• Conference kit.

• Access to PKAW workshop
• Access to PRICAI/PRIMA Keynote Address on Tuesday
• Invitation to Welcome Reception.
• Access to PKAW electronic proceedings.
• Conference kit.

You may register online here.

Website

http://www.ai.sanken.osaka-u.ac.jp/IWEC2014/

Description of the Workshop

Technology has made strides investigating how computational models of emotions can be built. In recent years, Computer Science researchers have realized that emotion models cannot be effectively used in real-world applications by themselves. They need to be analyzed in light of human interactions, and treated with other non-verbal cues as social signals to extract meaning from the data.

Right now, there is a need for human-centered systems, i.e. systems that are seamlessly integrated into everyday life, easy to use, multimodal, and anticipatory. These systems widen the breadth of users of computing systems, from the very young to the elderly, as well as to the physically challenged. Empathic systems are human-centered systems.

Empathic computing systems are software or physical context-aware computing systems capable of building user models and provide richer, naturalistic, system-initiated empathic responses with the objective of providing intelligent assistance and support. We view empathy as a cognitive act that involves the perception of the user's thought, affect (i.e., emotional feeling or mood), intention or goal, activity, and/or situation and a response due to this perception that is supportive of the user. An empathic computing system is ambient intelligent, i.e., it consists of seamlessly integrated ubiquitous networked sensors, microprocessors and software for it to perceive the various user behavioral patterns from multimodal inputs.

Empathic computing systems may be applied to various areas such as e-health, geriatric domestic support, empathic home/space, productivity systems, entertainment and e-learning. Lastly, this approach shall draw upon the expertise in, and theories of, ubiquitous sensor-rich computing, embedded systems, affective computing, user adaptive interfaces, image processing, digital signal processing and machine learning in artificial intelligence.

On its fourth year, IWEC-14 focuses on the role of emotion and its analysis, recognition and synthesis in human-machine interactions, including the use of Artificial Intelligence in solving issues brought about by scientists’ desire to create meaningful human-machine interactions. While primarily data-driven, the workshop this year will investigate how domain knowledge and contextual information can be used to reduce the complexity of emotion analysis and synthesis, as well as empathic response modeling.

We are inviting new and unpublished papers on, but not limited to, the following topics:

• Emotion and mood recognition
• Intention Recognition
• Behavior/Activity Recognition
• Motion/Gesture Detection
• Multimodal Communication
• Sensor Networks for Human Tracking
• Social Signal Processing
• Wearable or Implantable Sensor Integration
• Sensor Networks for Intelligent Interfaces
• Data fusion in Intelligent Ambient Spaces
• Multimodal Approaches for Improved Decision-making
• Motivational Aids in Intelligent Education Systems
• Advanced Home Automation Systems
• e-Health and Geriatrics Care
• Social Agents
• Machine Learning and Data mining for Empathy

Review Process

Each submission will undergo a blind review with 3 assigned reviewers.

Important Dates (Extended)

• Workshop Papers due: October 3, 2014
• Notification of Acceptance: October 24, 2014
• Workshop Proceedings due: November 19, 2014
• Workshop Dates: December 1 or 2, 2014

Website

http://www.covic.otago.ac.nz/MLSDA14

Description of the Workshop

Recent advances in the wireless technology and sensor networks have given both new opportunities and new challenges to data networking and mining. Large amounts of sensory data are being gathered and transmitted for various applications and these need to be analyzed and utilized effectively. On these other hand, the sensory and networking data exchanged between sensing devices can be explored for smart and efficient in-network and application designs. The nature of the sensing environment, however, has a number of constraints that differentiate it from conventional machine learning settings. Sensory data are generated in continuous streams from a dynamic environment, and stored in a distributed manner. Meanwhile, sensing devices are subject to limitation of power, memory, and communication bandwidth. To address these challenges there is a wide range of machine learning techniques that need to be adapted and utilized. Following the successful inaugural MLSDA workshop in 2013 held in Dunedin NZ, MLSDA’14 joins PRICAI'14 and PRIMA'14 in the sunny Gold Coast to provide a golden opportunity for researchers working in relevant fields to share their research progress, and establish potential collaboration for the future.

Topics of this workshop include, but are not limited to, the theory and application of machine learning in:

• Time series analysis
• Motif detection
• Anomaly detection
• Online data stream mining
• Concept drift detection and handling
• Feature extraction and dimension reduction
• Ensemble learning
• Sensory data modeling and prediction
• Smart environment
• Self-organization
• Distributed signal processing and compressed sensing
• Resource management and task scheduling
• Energy efficiency and cloud offloading
• Reinforcement learning in WSNs
• Privacy-preserving data mining
• Multimodal signal processing
• Activity detection and behaviour classification
• Localization
• Intrusion detection
• Multi-agent approach for sensory data analysis
• Applications and real-world deployment issues

Review Process

MLSDA'14 adopts the same double-blind reviewing process as that of PRICAI'14. It is expected that the conference proceedings will be published by ACM ICPS and hosted by the ACM Digital library as in 2013.

Important Dates (Extended)

• Workshop Papers due: October 17, 2014
• Notification of Acceptance: October 24, 2014
• Workshop Proceedings due: November 19, 2014
• Workshop Dates: December 1 or 2, 2014

Website

http://www.wichita.edu/QuantumLearningLabs

Description of the Workshop

According to Time Magazine, “Quantum computing represents the marriage of two of the great scientific undertakings of the 20th century, quantum physics and digital computing[1].” Quantum computing takes advantage of the rather odd and counter-intuitive rules of quantum mechanics like: superposition (a quantum system can be in more than one state or even one place at the same time), entanglement (instantaneous interaction at a distance) and quantum tunneling (a quantum system can switch states without surmounting an energy barrier between). Using these, a quantum computer can be built from very small, atomic sized, devices that can solve classical computing “hard problems”, and even quantum problems that are classically impossible to formulate and solve. The down side is: 1) quantum computers can be very difficult to build, and 2) they are difficult or impossible to program.

Recent advances have dramatically addressed the first issue. D-wave Systems Inc. has developed commercially available quantum computing hardware that implements 512 super-conducting quantum interference (SQuID) devices as quantum bits (qubits). A NASA Google partnership has purchased and installed a 512-qubit D-Wave Two™ device at Ames and has established the Quantum Artificial Intelligence Laboratory (QuAIL) at its NASA Advanced Supercomputing (NAS) facility.

[1] Time Magazine cover article, February 17, 2014, pp. 26-33.

This workshop addresses the second difficulty by bringing together researchers to share their work on using machine learning in quantum computing and adapting other AI methods for quantum computers. Contributed papers are solicited in all relevant areas, including (but not limited to):

• quantum memory and learning
• quantum random walks
• quantum perceptrons, quantum control
• quantum pattern recognition
• quantum error correction
• quantum hardware implementation

Invited speakers and members of the Program Committee include:

• James Steck and Elizabeth Behrman (organizers), Wichita State University, Wichita, KS, USA
• Alexandr Ezhov, Troitsk Institute for Innovation and Fusion Research, Troitsk, Russia
• Wilson Oliveira, Universidade Federal Rural de Pernambuco, Recife, Brazil
• Francesco Petruccione, University of KwaZulu-Natal, Durban, South Africa.

Important Dates (Extended)

• Workshop Papers due: October 3, 2014
• Notification of Acceptance: October 24, 2014
• Workshop Proceedings due: November 19, 2014
• Workshop Dates: December 1 or 2, 2014

Website

http://www.dsl.uow.edu.au/events/COIN-PRIMA-2014/

Description of the Workshop

The pervasiveness of open systems raises a range of challenges and opportunities for technologies in the area of autonomous agents and multi-agent systems. Open systems comprise loosely coupled entities interacting within a society that usually has some overall measures of quality or efficiency. However, achieving and maintaining a "good" society is difficult to achieve as the participating entities, their modes of interaction or the intended purpose of the system may change over time. Moreover, in the case of open multi-agent systems, the autonomy of the agents can work against the effectiveness of the society. There is therefore a need for tools and techniques for articulating and/or regulating interactions in order to make the system more effective in attaining collective goals, more certain for participants or more predictable. Coordination, organizations, institutions and norms are four key governance elements for the regulation of open multi-agent systems, and the COIN workshops constitute a space for debate and exploration of these four elements that are central in the design and use of open systems. We seek to attract high quality papers addressing mathematical, logical, computational, philosophical and pragmatic issues related to the four aspects of COIN. We invite the submission short papers up to 6 pages and long papers up to 16 pages (both according to the Springer LNCS formatting specifications). In particular, we invite the following types of papers:

1. Regular research papers (long)
2. Work in progress research papers (short): describing on-going work and research ideas that are not yet mature enough to submit as a long paper
3. Demo papers: papers describing a software tool or platform. (short)
4. Bridge papers: papers highlighting techniques from areas outside agent technology (or parts of the agent community that are not typically represented in COIN) that are potentially of interest to the COIN community, e.g., techniques from the business process modeling community, from software engineering, etc. (short)
5. Demo comparison papers: papers comparing several tools or platforms, highlighting similarities and differences, to help researchers decide which tools might be most suitable for their needs (short or long).

Submission

Contributions need to be formatted according to the Springer LNCS format (http://www.springer.com/computer/lncs?SGWID=016467933410) and need to be submitted via Easychair (https://easychair.org/conferences/?conf=coinprima2014).

Topics of Interest

Topics of particular interest for regular research papers for COIN@PRIMA 2014 include, but are not limited to:

• logics, languages and tools for specifying coordination and norms, implementing or simulating organizations and institutions;
• law of open multi-agent systems: regulatory compliance, penalty and sanctions, dispute resolution and conflict prevention;
• agent societies and communities, social networks, electronic institutions and virtual organizations;
• formal lifecycle models: formation, maintenance, evolution and dissolution of organizations, institutions and normative multi-agent systems;
• formal methods for specifying coordination and organizational structures; models for verification, validation and visualization;
• autonomic institutions and self-organization in multi-agent systems;
• frameworks and protocols for organized and organizational adaptation;
• mechanisms for governance of common pool resources;
• agent environments: physical and institutional resources for physical capability and institutional power;
• discovery, openness and interoperation in organizations and institutions;
• mixed human-agent coordination and institutions in virtual worlds;
• participatory simulation;
• reports on implemented systems;

Proceedings

Preliminary proceedings will be available at the workshop. As with previous COIN workshops, revised and extended versions of the papers of both the two 2014 workshops (the first workshop in 2014 was held at AAMAS) will be published in a single Springer LNCS volume. Those revised versions must take into account the discussion held during the workshop, hence, only those papers that are presented during the workshop will be considered for inclusion in the post proceedings volume.

Important Dates (Extended)

• Workshop Papers due: October 3, 2014
• Notification of Acceptance: October 24, 2014
• Workshop Proceedings due: November 19, 2014
• Workshop Dates: December 1 or 2, 2014

Organization

• Aditya Ghose, University of Wollongong, Australia
• John Thangarajah, RMIT University, Australia

Website

http://www.pkaw.org/pkaw2014/

Description of the Workshop

The PKAW 2014 Program Committee invites submissions of research papers for PKAW 2014, to be held Gold Coast, Australia, on December 1 - 2, 2014.

The purpose of this workshop is to provide a forum for presentation and discussion of all aspects of knowledge acquisition research. In particular, today the study of knowledge acquisition has enormous importance, because the unprecedented data, called Big Data, are available today. Knowledge acquisition aims to extract useful knowledge from vast and diverse data as well as its acquisition directly from human experts.

Knowledge acquisition research is multidisciplinary research, including knowledge engineering, machine learning, natural language processing, human computer interaction, artificial intelligence and the Semantic Web. We invite authors to submit papers on all aspect of knowledge acquisition research and practices. We will also invite submissions that present applications tested and deployed in real-life settings. Those papers should address lessons learned from the development and deployment. All papers will be peer reviewed, and those accepted for the workshop will be included in the Springer LNAI proceedings.

Papers are invited for consideration in all aspects of knowledge acquisition, engineering and management for intelligent systems, including (but not restricted to):

• Fundamental views on knowledge that affect the knowledge acquisition process and the use of knowledge in knowledge engineering
• Algorithmic approaches to knowledge acquisition
• Tools and techniques for knowledge acquisition, knowledge maintenance and knowledge validation
• Evaluation of knowledge acquisition techniques, tools and methods
• Languages and frameworks for knowledge and knowledge modelling information systems or decision support systems
• Methods and techniques for sharing and reusing knowledge
• Ontology and its role in knowledge acquisition
• Mining the Semantic Web, the Linked Data and the Web of Data
• Hybrid approaches combining knowledge engineering and machine learning
• Innovative user interfaces
• Big data capture, representation and analytics
• Crowd-sourcing for data generation and problem solving
• Software engineering and knowledge engineering
• Algorithms, tools and techniques for machine intelligence
• Knowledge acquisition applications tested and deployed in in real-life settings

Workshop Co-Chairs include:

• A/Prof. Byeong Ho Kang, University of Tasmania, Australia
• Prof. Deborah Richards, Macquarie University, Australia

Important Dates

• Workshop Papers due: July 11, 2014
• Notification of Acceptance: August 29, 2014
• Workshop Proceedings due: September 12, 2014
• Workshop Dates: December 1 or 2, 2014

Speakers

Elizabeth Behrman and James Steck

Description of the Tutorial

According to Time Magazine, “Quantum computing represents the marriage of two of the great scientific undertakings of the 20th century, quantum physics and digital computing” [[Time Magazine cover article, February 17, 2014, pp. 26-33]]. Quantum computing takes advantage of the rather odd and counter-intuitive rules of quantum mechanics like: superposition (a quantum system can be in more than one state or even one place at the same time), entanglement (instantaneous interaction at a distance) and quantum tunneling (a quantum system can switch states without surmounting an energy barrier between). Using these, a quantum computer can be built from very small, atomic sized, devices that can solve classical computing “hard problems”, and even quantum problems that are classically impossible to formulate and solve. The down side is: 1) quantum computers can be very difficult to build, and 2) they are difficult or impossible to program.

Recent advances have dramatically addressed the first issue. D-wave Systems Inc. has developed commercially available quantum computing hardware that implements 512 super-conducting quantum interference (SQuID) devices as quantum bits (qubits). (The prior record was 4, then 20, ten years later.) A NASA Google partnership has purchased and installed a 512-qubit D-Wave Two™ device at Ames and has established the Quantum Artificial Intelligence Laboratory (QuAIL) at its NASA Advanced Supercomputing (NAS) facility.

In this Tutorial, we will give an introduction to quantum mechanics, then to the emerging field of quantum computing, then show how the use of AI in quantum computing can be a powerful way of addressing the second issue.

The Tutorial is intended for the general AI community, and no prior knowledge or background in quantum mechanics will be assumed. For researchers new to quantum computing this Tutorial could be helpful prior to attending the Workshop [http://www.wichita.edu/QuantumLearningLabs].

Elizabeth Behrman

Behrman is professor of mathematics and physics at Wichita State. She has been working, with J.E. Steck, on quantum learning systems since the early 1990s. In 2002 they organized a workshop in quantum neural computing at the Neural Information Processing Systems conference (NIPS 2002), (http://www-2.cs.cmu.edu/Groups/NIPS/), and they have together published seven journal papers, two book chapters, and eleven conference papers on the subject. In addition to quantum neural networks, she has published in many fields including inorganic spheroid molecules, high Tc superconductors, reaction pathways, and Feynman path integrals.

James Steck

Steck is a professor of aerospace engineering at Wichita State. In addition to applying learning and AI to quantum computing with Behrman, as described above, He has been adapting artificial intelligence and artificial neural network methods for aerospace systems since 1990. He has also done research in building optical neural networks, neural model reference adaptive flight control, and using neural networks for signal processing for aircraft and wind turbine structural health monitoring.

Speakers

Haris Aziz and Nicholas Mattei

Description of the Tutorial

Social choice theory is the study of representation and aggregation of individual preferences. In recent years, the study of computational social choice has bloomed and been applied in many areas including recommender systems and kidney exchanges. Two key domains within social choice theory are voting, the foundation of many group decision-making and recommendation processes; and resource allocation, for computational resources as well as allocating airport runways and radio spectra.

In this tutorial, we will give an introduction and overview of classic results pertaining to voting. Starting from the fundamentals of voting and Arrow’s Impossibility theorem we will cover popular voting mechanisms, their axiomatic properties, usefulness in collective decision making, and their computational aspects.

We will then cover fundamentals of matching, allocation, and exchange of resources. The tutorial will cover several topics including fair allocation of divisible and indivisible goods as well as axiomatic properties of well-known mechanisms. Finally, we will highlight some recent developments in the field of computational social choice and offer suggestions for interested researchers to join this exciting field.

This tutorial is intended for the general AI community and we assume no prior knowledge about computational social choice.

Haris Aziz

Haris Aziz is a research scientist in the optimization group at NICTA and is a conjoint lecturer at the University of New South Wales. His research interests lie at the intersection of economics and computer science---especially algorithmic game theory and computational social choice. He was based at the University of Oxford and University of Warwick for his higher studies and LMU Munchen and Technische Universitat Munchen for his postdoctoral research. Haris has published at economics and computer science venues such as Games and Economic Behavior, Mathematical Social Sciences, Economics Letters, Artificial Intelligence, Journal of Artificial Intelligence Research, Operations Research Letters, AAAI, AAMAS, ACM EC, IJCAI, SAGT, STACS and WINE. He has served as a Program Committee /Senior Program Committee member of conferences including ACM EC, AAAI, AAMAS, IJCAI and COMSOC and was the co-chair of CoopMAS 2013.

Nicholas Mattei

Nicholas Mattei is a research scientist in the Optimization Research Group at NICTA and a conjoint lecturer at the University of New South Wales in Sydney, Australia. His research focuses on computational aspects of social choice, preference aggregation, and assignment --- how computers can enable and augment human decision making. His current interest lies in finding and demonstrating practical applications of many of the concepts in social choice and decision theory. A main thrust of this recent work has been, along with Toby Walsh, the foundation and maintenance of PrefLib: A Library for Preferences. He previously worked as a programmer and embedded electronics designer for nano-satellites at NASA Ames Research Center. He received his Ph.D from the University of Kentucky under the supervision of Dr. Judy Goldsmith. He has served on the Program Committee of IJCAI and AAAI and was the co-chair for the 1st Workshop on Exploring Beyond the Worst Case in Computational Social Choice (EXPLORE 2014).

Speakers

Phil Kilby

Description of the Tutorial

In this tutorial we look at a method for solving real-world vehicle routing problems. We present a Constraint Programming model of VRPs that is able to represent a wide variety of real-world transport scenarios. We then look at a meta-heuristic based on Ropke and Pisinger's Large Neighbourhood Search that can be used to find good solutions to that model. We demonstrate why that LNS procedure is a "natural fit" for use in a Constraint Programming setting.

The end of the tutorial examines a number of "soft constraints" or "penalties", that can be used to represent user preferences in routing problems. We show how concepts such as "visual appeal" and "balanced routes" can be represented using augmented objective functions, and how the LNS solution procedure performs in optimizing both classical and augmented objectives.

Phil Kilby

Dr Phil Kilby [BSc and PhD from The University of Queensland, Australia] is a Principal Research Scientist within the NICTA Optimisation Research Group. Phil has extensive experience in transportation science, operations research and computer science. Phil has previously held leadership positions within the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia. His career has also seen him employed on research and industrial projects at The University of Strathclyde in the United Kingdom, at OPCOM PTY LTD and at QUF Industries LTD. Phil has experience in many transportation optimisation applications, ranging from viniculture to defence logistics. Phil is the principle developer of the multi-award winning transport optimisation system called Indigo.

General chairs

• Guido Governatori (NICTA, Australia)
• Takayuki Ito (Nagoya Institute of Technology, Japan)

Program chairs

• Hoa Khanh Dam (University of Wollongong, Australia)
• Jeremy Pitt (Imperial College London, UK)
• Yang Xu (University of Electronic Science and Technology, China)

Workshop and Tutorial Chairs

• Charles Orgil Gretton (NICTA and Griffith University, Australia)
• Bastin Tony Roy Savarimuthu (University of Otago, New Zealand)

Publicity chair

• Vineet Padmanabhan (University of Hyderabad, India)
• Yuko Sakurai (Kyushu University, Japan)
• Minjie Zhang (University of Wollongong, Australia)

Web chair

• Katsuhide Fujita (Tokyo University of Agriculture and Technology, Japan)

Local Organising chair

• Sankalp Khanna (CSIRO, Australia)

Conference Secretary and Treasurer

• Natalie Dunstan (Griffith University, Australia)

Sponsorship Chair

• Michael Blumenstein (Griffith University, Australia)

Senior Advisors

• Prof. Aditya Ghose (University of Wollongong, Australia)
• Prof. Sandip Sen (University of Tulsa, US)
• Prof. Makoto Yokoo (Kyushu University, Japan)

Senior Programme Committee (SPC)

• Bo An (Chinese Academy of Sciences, China)
• Tina Balke (University of Surrey, UK)
• Paul Davidsson (Malmo University, Sweden)
• Yves Demazeau (CNRS - LIG, France)
• Frank Dignum (Utrecht University, The Netherlands)
• Guido Governatori (NICTA, Australia)
• Katsutoshi Hirayama, Kobe University, Japan
• Zhi Jin, Peking University, China
• Andrea Omicini, Università di Bologna, Italy
• Julian Padget, University of Bath, UK
• David Pynadath, USC Institute for Creative Technologies, USA
• Bastin Tony Roy Savarimuthu, University of Otago, NZ
• Paul Scerri, Carnegie Mellon University, USA
• Paolo Torroni, University of Bologna, Italy
• Pradeep Varakantham, SIM, Singapore
• Harko Verhagen, Stockholm University, Sweden
• Bo Yang, Jilin University, China
• Jie Zhang, Nanyang Technological University, Singapore

Programme Committee (PC)

• Sathish Babu B, Siddaganga Institute of Technology, India
• Quan Bai, Auckland University of Technology, New Zealand
• Francesco Belardinelli, Universite d'Evry, France
• Gauvain Bourgne, LIP6 - UPMC, France
• Stefano Bromuri, University of Applied Sciences Western Switzerland, Switzerland
• Nils Bulling, Clausthal University of Technology, Germany
• Didac Busquets, Imperial College London, UK
• Arthur Carvalho, University of Waterloo, Canada
• Shantanu Chakraborty, NEC Coporation, Japan
• Xiaoping Chen, University of Science and Technology of China, China
• Shih-Fen Cheng, Singapore Management University, Singapore
• Amit Chopra, Lancaster University, UK
• Mehdi Dastani, Utrecht University, Netherlands
• Ada Diaconescu, Telecom ParisTech, CNRS LTCI, France
• Virginia Dignum, TU Delft, Netherlands
• Muhammad Marwan Muhammad Fuad, The University of Tromso, Norway
• Katsuhide Fujita, Tokyo University of Agriculture and Technology, Japan
• Naoki Fukuta, Shizuoka University, Japan
• Chao Gao, Southwest University, China
• Hiromitsu Hattori, Ritsumeikan University, Japan
• Reiko Hishiyama, Waseda University, Japan
• Yichuan Jiang, Southeast University, China
• Wan-Rong Jih, National Taiwan University, Taiwan
• Ozgur Kafali, University of London, UK
• Shohei Kato, Nagoya Institute of Technology, UK
• Yoonheui Kim, University of Massachusetts at Amherst, USA
• Yasuhiko Kitamura, Kansei Gakuin University, Japan
• Ramachandra Kota, Secure Meters Ltd., UK
• Kazuhiro Kuwabara, Ritsumeikan University, Japan
• Ho-Pun Lam, NICTA, Australia
• Joao Leite, Universidade Nova de Lisboa, Portugal
• Churn-Jung Liau, Academia Sinica Taipei, Taiwan
• Wei Liu, The University of Western Australia, Australia
• Maite Lopez-Sanchez, University of Barcelona, Spain
• Xudong Luo, Sun Yat-sen University, China
• Sunilkumar Manvi, Reva Institute of Technology and Management, India
• Xinjun Mao, National University of Defense Technology, China
• Shigeo Matsubara, Kyoto University, Japan
• Toshihiro Matsui, Nagoya Institute of Technology, Japan
• Felipe Meneguzzi, Pontifical Catholic University of Rio Grande do Sul, Brazil
• Tim Miller, University of Melbourne, Australia
• Tsunenori Mine, Kyushu University, Japan
• Yohei Murakami, Kyoto University, Japan
• Yuu Nakajima, Toho University, Japan
• Hideyuki Nakanishi, Osaka University, Japan
• Mariusz Nowostawski, University of Otago, New Zealand
• Nir Oren, University of Aberdeen, UK
• Wojciech Penczek, University of Natural Sciences and Humanities, Poland
• Duy Hoang Pham, Posts and Telecommunications Institute of Technology, Vietnam
• Gauthier Picard, ENS Mines Saint-Etienne, France
• Hongyang Qu, University of Sheffield, UK
• Franco Raimondi, Middlesex University, UK
• Fenghui Ren, University of Wollongong, Australia
• Alessandro Ricci, University of Bologna, Italy
• Regis Riveret, Imperial College London, UK
• Juan Antonio Rodriguez Aguilar, IIIA-CSIC, Spain
• Antonino Rotolo, CIRSFID, University of Bologna, Italy
• Yuko Sakurai, Kyushu University, Japan
• Guillermo Ricardo Simari, Universidad Nacional del Sur in Bahia Blanca, Argentina
• Clara Smith, IRI, UNLP, Argentina
• Insu Song, James Cook University, Australia
• Jan-Philipp Steghofer, University of Augsburg, Germany
• Satoshi Takahashi, The University of Electro-Communication, Japan
• John Thangarajah, RMIT University, Australia
• Fujio Toriumi, The University of Tokyo, Japan
• Wamberto Vasconcelos, Department of Computing Science, University of Aberdeen, UK
• Serena Villata, INRIA Sophia Antipolis, France
• Meritxell Vinyals, University of Southampton, UK
• Xiaofeng Wang, Chinese academy of sciences, China
• Brendon J. Woodford, University of Otago, New Zealand
• Yanping Xiang, UESTC, China
• Neil Yorke-Smith, American University of Beirut, Lebanon

Conference Vennue

Mantra Legends Hotel is situated in the heart of Surfers Paradise, the ultimate Gold Coast location.

Located just 100m from patrolled beaches, shopping, dining and nightlife which the Gold Coast is famous, Mantra Legends offers a luxurious yet affordable getaway. The property features excellent conference facilities, and boasts 357 contemporary rooms and suites most with a private balcony offering captivating views of the ocean, hinterland or sparkling lights of Surfers. Each room also offers cable TV, in-house movies and wireless internet connectivity.

Gold Coast

Australia’s Gold Coast is a City touched by gold. A destination where a natural abundance of stunning landscapes, out of this world attractions and unique experiences provide the inspiration that powers people to achieve and the coveted opportunity to just sit back and relax.

Feel the excitement of the Gold Coast, where the sun shines on an unlimited variety of things to see and do all year round. It is a promise of big smiles and warm memories in a spectacle of golden beaches, legendary theme parks, alfresco shopping and breathtaking rainforest.

More than 300 days of sunshine each year allow you to explore more than 70 kilometres of unspoiled coastline and beaches as well as 100,000 hectares of World Heritage rainforest.

The Gold Coast is a celebrated meetings, events and incentives experience set on one of Australia’s most spectacular natural stages. Revitalise the mind in the Gold Coast hinterland, filled with lush rainforest and dotted with mountain villages, bushwalks, waterfalls and swimming holes plus valleys of working produce farms and cattle stations. Or, for an active approach hang glide, horse ride or 4WD and enjoy astounding landscapes and unmatched tranquillity.

Journey through this flourishing rural setting and see scattered bed-and-breakfast outlets, wineries, boutique distilleries and breweries, restaurants, rustic homesteads, plus local produce, arts, crafts and jewellery stores.

Australia’s Gold Coast continues to evolve as a haven for retail enthusiasts with a vast array of shopping options headlined by signature fashion boutiques, iconic department stores and local markets. Visit the tree-line boulevards of Surfers Paradise for shopping until 9pm every night and weekly beachfront markets. Or, head to Robina Town Centre - Queensland’s largest shopping centre and home to over 350 specialty stores.

Bask in the Gold Coast’s famous beach culture and meet the friendly sun bathed locals and lifeguards. The Gold Coast enjoys 30 different beaches each with their own personality, from world-famous surf breaks and cosy coastal settings in the south to swimming spots and surf-life saving action in the north.

At your fingertips is every on-water activity imaginable; jetboating, parasailing, kite surfing, diving, jet ski safaris, snorkelling, tall-ship cruising and yachting. Conquering the balancing act between wave and surf with a learn-to-surf class guided by world champions is a must-do, as are paddling and kayaking explorations. Board a catamaran and enjoy deep sea fishing, marvel during a whale-watching tour, take in a guided cruise of the waterways or simply swim among the surf at some of the best beaches in the world.

Naturally diverse landscapes are the backdrop to endless adventures that get the adrenalin pumping. Scream with excitement on the biggest and best rides inside the gates of the city’s theme parks. Whether you want to laze in a wave pool, check out a stunt show or ride on giant rollercoaster, the Gold Coast’s theme parks ensures fun for all.

Turn your PRICAI 2014 conference visit into a lifetime of memories in the ever evolving home of culinary geniuses. Enjoy the wind in your hair and the scent of the sea salt from one of many restaurants with ocean panorama views sprinkled along the coast-line. Relish in the freshest seafood and local produce from hand-made fudge to creamy cheeses and enticing wines.

For more on the Gold Coast check out www.VisitGoldCoast.com.

Travel

From Gold Coast Airport (Coolangatta) to conference venue

• By shuttles: There is an Airport Shuttle bus counter at Coolangatta airport. Buses leave the airport every 30 minutes and takes about 60 minutes to arrive at the conference venue, Mantra Legends Hotel.
• By bus: Translink bus services are also available. Please visit Translink for more details and schedule.
• By taxi: Travelling by taxis to the conference venue will take around 30 minutes. You can call 131 008 or visit www.gccabs.com.au to book a taxi.

From Brisbane Domestic and International Airports to conference venue

• By train: You can catch an Airtrain that leaves Brisbane domestic and international airports every 30 minutes to Nerang railway station, then transfer to a Translink bus service or catch a local taxi (www.gccabs.com.au) to arrive at the conference venue.
• By shuttle: Con-x-ion shuttle bus service leaves Brisbane domestic terminal (on the hour) and Brisbane international airport (15 minutes past the hour) for Surfers Paradise. It will take 90 minutes to arrive at Mantra Legends Hotel. The shuttle booth is located outside Brisbane domestic terminal and at Travellers Information Desk inside the arrival hall of Brisbane international terminal.
• By taxi: Direct taxis from Brisbane airports to the conference venue are also available though expensive. To book a taxi, you can call 131 924 (Yellow Cabs) or 133 222 (Black & White Cabs).

Flying to Gold Coast via Sydney

If you are flying to Gold Coast (Coolangatta) Airport via Sydney, you will need ground transfer from Sydney International Terminal to its Domestic Terminal. If you are travelling with either Qantas or Virgin airline partners to Gold Coast, you will be able to check in your in hold bags at transfer desk after clearing customs and ground transfer to domestic is provided. If you are flying to Gold Coast with Jetstar you will need to arrange your own ground transfer to domestic terminal, either by bus or by train.

Accommodation

We have negotiated the following special accommodation rates with the Mantra Legends Hotel, Gold Coast. For your convenience, you can book accommodation through the online registration form.

• Studio Room (1 x King Zip Bed with Kitchenette): $124.00 per room/per night (Accommodation Only)





• Twin Room (2 x Double Beds): $124.00 per room/per night (Accommodation Only)

Breakfast can be added at the time of booking for $20 per person per night. Secure undercover parking is also available (subject to availability) at a special delegate charge of $10 per day.

If you have any special accommodation needs or for other room types, please contact the hotel directly and quote the conference name : PRICAI 2014. For assistance, please contact the conference local arrangements committee on pricaiprima2014[at]gmail.com