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There will be two half-day workshops, plus the Twentieth 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, Sheffield Hallam University
Visual and Cognitive Analytics
Chair: Dr Martin Spott, BT Research
Visual and Cognitive Analytics builds on the premise that people and machines combined are much better at tasks like data analytics than either on their own. Machines can explore data for structure and patterns all day, but their search follows a human question and still results may not be meaningful. Data Scientists can provide domain knowledge, use human pattern recognition on data visualisations and think out of the box, but they can hardly scratch the sheer volume of data points and their combinations. The question is how to form a symbiosis of people and machines that will be able to solve complicated analytics problems and do so much more efficiently and effectively than individually.
The workshop will cover aspects of machine learning, data and pattern visualisation as well as human-computer interaction. We will discuss the theory and concrete applications of Visual and Cognitive Analytics across the whole process of data analysis: from joining and pre-processing data over pattern discovery to decision support.
Evolved construction-kits for minds (Introduction to the Meta-Morphogenesis project)
Chair: Prof Aaron Sloman, University of Birmingham
This will be an interactive introduction to some key themes in the Turing-inspired Meta-Morphogenesis project, investigating major transitions in information-processing since the earliest life (or proto-life) forms on this planet. There are major gaps between achievements of AI/Robotics and achievements of evolution. This project aims both to clarify the nature of the gaps and develop a research strategy for improving our understanding of what's still missing in AI and how to remedy it. For example, much AI work on language acquisition assumes linguistic competence is primarily a result of learning from experts. But the creation of a new sign language by deaf children in Nicaragua suggests something more like collaborative creation of a language than passive learning. The history of mathematics is full of learners expanding the scope of mathematics in ways that current AI does not yet model. The earliest mathematicians had no mathematics teachers. But evolution had produced profound mathematical abilities used in perception and action, still mostly unnoticed and unexplained. Some ideas about a succession of evolved (concrete, abstract and hybrid) construction kits, all ultimately derived from a "fundamental" construction-kit provided by physics/chemistry may help us identify what is missing in current AI and perhaps help us fill the gaps.
Click here for a more detailed overview.
20th Case-Based Reasoning Workshop - session 1
Chairs:
Professor Miltos Petridis, University of Brighton
Professor Thomas Roth-Berghofer, University of West London
Please see further UKCBR workshop information.
20th Case-Based Reasoning Workshop - session 2
Chairs:
Professor Miltos Petridis, University of Brighton
Professor Thomas Roth-Berghofer, University of West London
Please see further UKCBR workshop information.
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