Artificial Intelligent Advisory System for PC Purchasing

The relevance of this paper in today’s ICT driven society is to ensure that PC buyers are assisted on decision making in PC purchasing. Development of an artificial intelligence advisory system (AIAS) that uses artificial neural network (ANN) as its knowledge base appears to be a promising method for offering expert advise to intended PC users such as schools, organizations, banks and the amateur. In this paper we confronted the problem of making right choices on PC purchase, which is an important decision making issue that must be addressed based on certain criteria including user preferences, set of needs, values, system configuration, nature of work, etc. The paper therefore introduces a novel approach which could assist a buyer in decision making on the right choice of PC to go for. The paper presented the development and evaluation of highly personalized advisory system to complement the cognitive and computational capacities of humans. AIAS will leverage the experience and contextual knowledge of seasoned computer engineer to facilitate the decision making process on PC purchase. The system will assist users in a collaborative manner by gathering and presenting information, and by recommending actions. The AIAS construction and training using expert system architecture design is presented. Rigorous training with data collected from available PC models in Nigeria showed that the system is capable of successfully offering matching advice with 90 percent accuracy. KeywordsArtificial intelligence, decision support system, web advisory system, personal computer purchasing African Journal of Computing & ICT Reference Format: F.S. Bakpo (2013). Artificial Intelligent Advisory System for PC Purchasing. Afr J. of Comp & ICTs. Vol 6, No. 3. Pp39-44.