By looking at data in this way, new patterns and relationships emerge — which could potentially give us access to new types of computer modelling in a range of fields, including process control and optimisation, resource scheduling and bioinformatics.
The concept of a granular approach to computing is inspired by human thought processes, according to Professor Andrzej Bargiela, Director of Computer Science at Malaysia Campus.
“Creating abstractions from detailed information is essential to human knowledge, interaction and reasoning,” said Professor Bargiela. “The human brain filters the flood of information and distils knowledge subconsciously.”
“We can observe such an information processing pattern not only in scientific domains but also in fine arts and in natural language conversation. When an artist paints a picture they are not focussing on photographic accuracy, they focus on the artistic message — and use brushstrokes to simplify the reality in a way that is conducive to conveying that message. We remember conversations, but we don’t remember every word — the raw data — we remember the meaning, gist and nuance in other words the abstractions of the conversation. That is the basis for distilling human knowledge and understanding.
“We process a huge amount of information second by second. If we were aware of every single thing, our minds would be overloaded. The flood of information would choke us. The human mind uses the method of information abstraction to cope with the sensory overload of everyday life.”
It is thought that the granular computing approach to information processing may capture this essential characteristic of human information processing and offer a breakthrough in dealing with information overload in a broad spectrum of application domains. Several PhD projects supervised by Professor Bargiela test this hypothesis in the context of varied applications, including urban traffic monitoring and control, job scheduling, timetabling and protein classification. Other applications that will be explored in the near future include environmental modelling and assessment of potential of under-utilised crops.
“Technology allows us to capture an enormous amount of information, but making most of that information represents a significant challenge,” Professor Bargiela explained. “Over the last decade granular computing research has been gradually developing mathematical foundations for information granulation and granular modelling of systems. We have been part of this research development from the very nascent stages of granular computing. It is extremely exciting to see that the age-old paradigm of human information processing only just starts to be formalised as a well-founded method in computer science.”
— Ends —
Notes to editors: The University of Nottingham is ranked in the UK's Top 10 and the World's Top 100 universities by the Shanghai Jiao Tong (SJTU) and Times Higher (THE) World University Rankings.
It provides innovative and top quality teaching, undertakes world-changing research, and attracts talented staff and students from 150 nations. Described by The Times as Britain's "only truly global university", it has invested continuously in award-winning campuses in the United Kingdom, China and Malaysia. Twice since 2003 its research and teaching academics have won Nobel Prizes. The University has won the Queen's Award for Enterprise in both 2006 (International Trade) and 2007 (Innovation — School of Pharmacy), and was named Entrepreneurial University of the Year at the Times Higher Education Awards 2008.
Its students are much in demand from 'blue-chip' employers. Winners of Students in Free Enterprise for four years in succession, and current holder of UK Graduate of the Year, they are accomplished artists, scientists, engineers, entrepreneurs, innovators and fundraisers. Nottingham graduates consistently excel in business, the media, the arts and sport. Undergraduate and postgraduate degree completion rates are amongst the highest in the United Kingdom.