Emergence in genetic programming:let's exploit it!

Banzhaf explores the concept of emergence and how and where it happens in genetic programming [1]. Here we consider the question: what shall we do with it? We argue that given our ultimate goal to produce genetic programming systems that solve new and difficult problems, we should take advantage of emergence to get closer to this goal. © 2013 Springer Science+Business Media New York.

Intellectual property asset management:how to identify, protect, manage and exploit intellectual property within the business environment

In the new ‘knowledge-intensive economies’ Intellectual assets increasingly play a key part on balance sheets. There is an increasing global awareness that in order to promote innovation and the growth of the economy, businesses must fully recognise and exploit their intellectual assets. A company’s ability to innovate rapidly and successfully is now regarded as essential and most breakthroughs are made by Small and Medium-sized Enterprises (SMEs), usually with no in-house legal professionals to help them. It is essential that those working with or creating intellectual property rights (IPR) are aware of the basics of Intellectual Property Law. Intellectual Property Asset Management provides business and management students at all levels with an accessible-straight-forward explanation of what the main Intellectual Property rights are and how these rights are protected. Locating the subject squarely in a business context and using case studies and examples throughout drawn from a wide range of business organisations, it explains how an organisation can exploit their rights through licensing, franchising and other means in order to make the best possible use of their IP assets. This book will provide students with: • the basic Intellectual Property law knowledge needed to identify a potential IP issue • the tools and understanding to assess an IP breach • the ability to identify where the problem cannot be solved in house and where expert legal assistance is required • the knowledge required to work effectively with lawyers and other legal professionals to achieve the desired outcome

Image retrieval on the Honeycomb Image Browser

Efficient and effective approaches of dealing with the vast amount of visual information available nowadays are highly sought after. This is particularly the case for image collections, both personal and commercial. Due to the magnitude of these ever expanding image repositories, annotation of all images images is infeasible, and search in such an image collection therefore becomes inherently difficult. Although content-based image retrieval techniques have shown much potential, such approaches also suffer from various problems making it difficult to adopt them in practice. In this paper, we follow a different approach, namely that of browsing image databases for image retrieval. In our Honeycomb Image Browser, large image databases are visualised on a hexagonal lattice with image thumbnails occupying hexagons. Arranged in a space filling manner, visually similar images are located close together enabling large image datasets to be navigated in a hierarchical manner. Various browsing tools are incorporated to allow for interactive exploration of the database. Experimental results confirm that our approach affords efficient image retrieval. © 2010 IEEE.