Artificial Intelligence

21.

An advanced artificial intelligence tool for menu design.

The computer-assisted menu design still remains a difficult task. Usually knowledge that aids in menu design by a computer is hard-coded and because of that a computerised menu planner cannot handle the menu design problem for an unanticipated client. To ...
Abdus Salam Khan, Achim Hoffmann (Nutr Health, 2003)
advanced-artificial-intelligence-tool-menu-design.asp

22.

Playing biologys name game: identifying protein names in scientific text.

A growing body of work is devoted to the extraction of protein or gene interaction information from the scientific literature. Yet, the basis for most extraction algorithms, i.e. the specific and sensitive recognition of protein and gene names and their ...
Daniel Hanisch, Juliane Fluck, Heinz-Theodor Mevissen, Ralf Zimmer (Pac Symp Biocomput, 2003)
playing-biology-s-name-game-identifying-protein-names-scientific-text.asp

23.

Neural architectures for robot intelligence.

We argue that direct experimental approaches to elucidate the architecture of higher brains may benefit from insights gained from exploring the possibilities and limits of artificial control architectures for robot systems. We present some of our recent ...
H Ritter, J J Steil, C Nölker, F Röthling, P McGuire (Rev Neurosci, 2003)
neural-architectures-robot-intelligence.asp

24.

Evolving neural networks through augmenting topologies.

An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. We present a method, NeuroEvolution of Augmenting Topologies (NEAT), which outperforms the best fixed-topology method on a ...
Kenneth O Stanley, Risto Miikkulainen (Evol Comput, 2002SUMMER)
evolving-neural-networks-augmenting-topologies.asp

25.

ZCS redux.

Learning classifier systems traditionally use genetic algorithms to facilitate rule discovery, where rule fitness is payoff based. Current research has shifted to the use of accuracy-based fitness. This paper re-examines the use of a particular ...
Larry Bull, Jacob Hurst (Evol Comput, 2002SUMMER)
zcs-redux.asp

26.

Group properties of crossover and mutation.

It is supposed that the finite search space omega has certain symmetries that can be described in terms of a group of permutations acting upon it. If crossover and mutation respect these symmetries, then these operators can be described in terms of a ...
Jonathan E Rowe, Michael D Vose, Alden H Wright (Evol Comput, 2002SUMMER)
group-properties-crossover-mutation.asp

27.

Counterfactuals cannot count: a rejoinder to David Chalmers.

The initial argument presented herein is not significantly original--it is a simple reflection upon a notion of computation originally developed by Putnam (Putnam 1988; see also Searle, 1990) and criticised by Chalmers et al. (Chalmers, 1994; 1996a, b; ...
Mark Bishop (Conscious Cogn, 200212)
counterfactuals-cannot-count-rejoinder-david-chalmers.asp

28.

Adaptive user interface customization through browsing knowledge capitalization.

Hypermedia data browsing is a mean for improving information access. However, the overload and the heterogeneity of medical information, as well as the multitude of possible navigational paths, turn the consultation of data into a difficult task. We ...
Chirine Ghédira, Pierre Maret, Jocelyne Fayn, Paul Rubel (Int J Med Inf, 200212)
adaptive-user-interface-customization-browsing-knowledge.asp

29.

Getting to the (c)ore of knowledge: mining biomedical literature.

Literature mining is the process of extracting and combining facts from scientific publications. In recent years, many computer programs have been designed to extract various molecular biology findings from Medline abstracts or full-text articles. The ...
Berry de Bruijn, Joel Martin (Int J Med Inf, 200212)
getting-c-ore-knowledge-mining-biomedical-literature.asp

30.

Learning anchor verbs for biological interaction patterns from published text articles.

Much of knowledge modeling in the molecular biology domain involves interactions between proteins, genes, various forms of RNA, small molecules, etc. Interactions between these substances are typically extracted and codified manually, increasing the cost ...
Vasileios Hatzivassiloglou, Wubin Weng (Int J Med Inf, 200212)
learning-anchor-verbs-biological-interaction-patterns-published-text.asp