Elsevier Editorial System(tm) for Neurocomputing Manuscript Draft Title: an Execution Time Neural-cbr Guidance Assistant an Execution Time Neural-cbr Guidance Assistant

This paper presents a novel Ambient Intelligence based solution for shopping assistance. The core of the proposal is a CBR system developed for guiding and advising users in shopping areas. The CBR incorporates a neural based planner that identifies the most adequate plan for a given user based on user profile and interests. The RTPW neural network is based on the Kohonen one, and incorporates an interesting modification that allows a solution or a plan to be reached much more rapidly. Furthermore, once an initial plan has been reached, it is possible to identify alternatives by taking restrictions into account. The CBR system has been embedded within a deliberative agent and interacts with interface and commercial agents, which facilitate the construction of intelligent environments. This hybrid application, which works on execution time, has been tested and the results of the investigation and its evaluation in a shopping mall are presented within this paper. Juan M. Corchado (PhD.). Received a PhD. in Computer Science from the University of Salamanca in 1998 and a PhD. in Artificial Intelligence (AI) from the University of Paisley, Glasgow (UK) in 2000. At present he is Associate Professor, Director of the Intelligent Information System Group (http://bisite.usal.es) and Director of the MSc programs in Computer Science at the University of Salamanca (Spain), previously he was sub-director of the Computer Science School at the University of Vigo (Spain, 1999-00) and Researcher at the University of Paisley (UK, 1995-98). He has been a research collaborator with the Plymouth Marine Laboratory (UK) since 1993. He has leaded several Artificial Intelligence research projects sponsored by Spanish and European public and private institutions and has supervised seven PhD. students. He is the co-author of over 130 books, book chapters, journal papers, technical reports, etc. published by organisations such as Elsevier, IEEE, IEE, ACM, AAAI, Springer Verlag, Morgan Kaufmann, etc., most of these present practical and theoretical achievements of hybrid AI and distributed systems. He has been President of the organising and scientific committee of several international symposiums. Javier Bajo (PhD). Received a PhD in Computer Science and Artificial Intelligence from the University of Salamanca in 2007. At present he is Assistant Professor at the University of Salamanca (Spain). He obtained an Information Technology degree at the University of Valladolid (Spain) in 2001 and an Engineering in Computer Sciences degree at the Pontifical University of Salamanca in 2003. He has been member of the organising and scientific committee of several international symposiums such as CAEPIA, IDEAL, HAIS, KES, IWANN, etc. and co-author of papers published in recognized journal, workshops and symposiums. Juan Francisco de Paz (PhD. Student). At this moment, he’s completing his studies of PhD in Computer Science at University of Salamanca (Spain). He obtained a Technical Engineering in Systems Computer Sciences degree in 2003, an Engineering in Computer Sciences degree in 2005 at the University of Salamanca and at this moment he is finishing Statistic in the same university. He has been co-author of published papers in several journals. Sara Rodríguez (PhD. Student). Currently, she’s pursuing her studies of PhD in Computer Science at University of Salamanca (Spain). She obtained a Technical Engineering in Systems Computer Sciences degree in 2004, an Engineering in Computer Sciences degree in 2007 at the University of Salamanca. She has participated as a co-author in papers published in recognized international conferences and symposiums. such as CAEPIA, HAIS, etc. * Biography of the author(s) Click here to download Biography of the author(s): biographical_notes2. doc