SGAI

AI-2017 Thirty-seventh SGAI International Conference on Artificial Intelligence. CAMBRIDGE, ENGLAND 12-14 DECEMBER 2017

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Workshops

The first day of the conference comprises a range of workshops, to be held on Tuesday 12th December. Delegates will find these events to be especially valuable where there is a current need to consider the introduction of new AI technologies into their own organisations.

There will be four half-day workshops, including the Twenty-second UK CBR Workshop. Delegates are free to choose any combination of morning and afternoon sessions to attend. The programme of workshops is shown below. Note that the morning session starts at 11 a.m. to reduce the need for delegates to stay in Cambridge on the previous night. There is a lunch break from 12.30-13.15 and there are refreshment breaks from 14.45-15.15 and from 16.45-17.00.

Workshops organiser: Professor Adrian Hopgood, University of Portsmouth


Stream 1 - Morning (11.00-12.30 and 13.15-14.45 Nightingale Room)

Autonomic Systems that Learn

Chair:
Dr Botond Virginas, BT Research

The next phase of computing involves sophisticated, complex systems that perform human like tasks. Our belief is that the management of such complexity will be impossible in the future without self-learning autonomous systems. Therefore, the next challenge is not only understanding “Big Data” but devising complex systems incorporating more and more sophisticated machine learning techniques. Presently, however, software systems that incorporate machine learning are hard to build, deploy, and maintain. They require a large and highly skilled workforce. Unlike traditional enterprise systems, once built, they often require thousands of hours of on-going, sometimes daily, maintenance to ensure that their predictions and behaviour continue to be accurate and useful. Integrating machine learning systems into traditional enterprise architecture, testing and deployment processes are likewise too complex, partly due to organizational silos that exist between systems engineers and data scientists.

This workshop will cover topics that deal with the design, implementation, verification, deployment and lifecycle management of such systems, not forgetting the Human Interface frameworks necessary for the viability of such solutions. Risk and Trust will also be addressed and we will aim to provide both a theoretical and a practical industry view on the problem space.

Stream 1 - Afternoon (15.15-16.45 and 17.00-18.30 Nightingale Room)

Autonomous mobile robots

Chair:
Professor Lars Nolle, Jade University of Applied Science, Germany

Contributors:
Christoph Tholen, MEng, Jade University of Applied Science, Germany
Professor Frank Wallhoff, Jade University of Applied Science, Germany
Professor Alexandra Burger, Jade University of Applied Science, Germany

In recent years, autonomous mobile robots have become increasingly popular with researchers and practitioners. Examples of such systems include the Mars Pathfinder rover, Honda's famous Asimo humanoid robot, and Tesla's Model S car with Autopilot software. This workshop introduces the concept of autonomy and provides an overview of the building blocks of autonomous mobile systems, such as locomotion, perception, localisation, planning, and navigation. Potential applications of AI methods (e.g. Fuzzy Logic, Artificial Neural Networks, etc.) within these building blocks will be discussed and real-world examples will be given.


Stream 2 - Morning (11.00-12.30 and 13.15-14.45 Peterhouse Lecture Theatre)

22nd Case-Based Reasoning Workshop - session 1

Chair:
Professor Miltos Petridis, Middlesex University

Please see the UKCBR webpage for further workshop information.

Stream 2 - Afternoon (15.15-16.45 Peterhouse Lecture Theatre)

22nd Case-Based Reasoning Workshop - session 2

Chair:
Professor Miltos Petridis, Middlesex University

Please see the UKCBR webpage for further workshop information.

Stream 2 - Afternoon (17.00-18.30 Peterhouse Lecture Theatre)

AI Applications in Law

Chair:
Dr John Kingston, University of Brighton

Contributors:
Professor Frans Coenen, University of Liverpool
Samashwin Paul, University of Brighton / Family Law Partners

This workshop will provide an overview, history and classification of AI applications in the legal domain and will also discuss possible future applications of AI in Law. Practical case studies will describe the development of an "AI judge" and the use of AI to support best practice in the sensitive domain of divorce law. There will also be an open discussion of legal issues relating to present or planned 'autonomous' AI systems.

Please see the dedicated workshop webpage for further details.


SGAI

AI-2017 Thirty-seventh SGAI International Conference on Artificial Intelligence. CAMBRIDGE, ENGLAND 12-14 DECEMBER 2017

home | schedule | technical stream | application stream | poster sessions
workshops | proceedings | exhibition | registration | sponsors | organisers
enquiries | social | visa info | venue | accommodation | panel session | special session
ai open mic | information for speakers | previous conferences | letter of invitation

call for papers | paper submission and info for authors | accepted papers
internet access for delegates | walking tour

BCS