ISPRS: Intelligent Services for Poverty Reduction Schemes Petar ˇ Soli´ c University of Split Department of Communication and Information Systems Rudjera Boˇ skovi´ ca b.b., 21 000 Split Croatia psolic@fesb.hr Matko ˇ Sari´ c University of Split Department of Communication and Information Systems Rudjera Boˇ skovi´ ca b.b., 21 000 Split Croatia msaric@fesb.hr Darko Stipaniˇ cev University of Split Department for Modelling and Intelligent Systems Rudjera Boˇ skovi´ ca b.b., 21 000 Split Croatia dstip@fesb.hr Abstract: UN started with Millennium Development Goals (MDG) 10 years ago. Problems addressed in the goals achievements are meant to solve world’s biggest problems. This paper proposes ICT solution which helps economists in decision making and to address problem no.1. ”The end of world poverty”. Proposed system has ability of self-learning in order to address a lot of exceptions and personalize economics of different countries. Modular expert system architecture system is proposed. It is compared to existing solutions and benefits over them are discussed. Key–Words: Poverty Reduction, Economic growth, ICT modelling in economy, ICT solutions on poverty reduction 1 Introduction ”The World Bank’s latest estimates show that 1.4 bil- lion people in developing countries were living in ex- treme poverty in 2005. Recent increases in the price of food have had a direct and adverse effect on the poor and are expected to push many more people an estimated 100 million into absolute poverty. The pro- portion of children under five who are undernourished declined from 33 per cent in 1990 to 26 per cent in 2006. However, by 2006, the number of children in developing countries who were underweight still ex- ceeded 140 million.” [1]. Addressing such issues to- day is comprehensive and exhaustive task for all agen- cies and thousands of people working on them. Ex- austive work today in poverty reduction brought to the following improves [3, 4] : ◦ Microfinance has helped many of the world’s poor to increase their incomes through self-employment and empowerment. With access to small loans and other financial services such as savings and micro- insurance, microfinance clients, mostly women, have formed micro-enterprises that generate in- come. Grameen Bank of Bangladesh is one of the worlds most successful microfinance institu- tions. From a starting base of 10 members in 1976, Grameen Bank today has over 7.5 million borrow- ers, 65 per cent of whom have managed to lift them- selves out of extreme poverty [6]. ◦ For the past two years, Malawis voucher programme for fertilizers and seeds has helped double its agri- cultural productivity, turning the country into a net food exporter after decades of famine as a perennial food importer. ◦ NERICA - or the New Rice for Africa, a crossbreed of Asian and African rice varieties - can produce up to 200 per cent more than traditional crops and is ex- pected to generate savings of several million dollars per year in the cost of rice imports in several pilot countries. ◦ Since 2002, the courier delivery company TNT and the World Food Programme (WFP) have developed a partnership called Moving the World to help fight global hunger. TNT has donated services totalling 38 million for activities including an emergency re- sponse system and a joint logistics supply chain. Still, there is a lot of effort required to accomplish MDG tasks and to reduce poverty. Some of them are [2-4]: To Ensure that there are social safety nets to minimize the consequences on the poor of the global economic slowdown and higher food and en- ergy prices. Urgently increase emergency food aid to enable WFP and other food-aid programmes to provide emergency food assistance. Promote school feeding programmes. Assist developing countries, es- pecially in sub-Saharan Africa, to transform subsis- tence agriculture in order to ensure long-term, sus- tainable productivity increases and a more diversified economic base. Support research and development in yield-enhancing agricultural and climate change tech- nologies. Promote equitable access to economic re- sources and decent work opportunities, especially for particularly disadvantaged groups such as women and Recent Researches in Neural Networks, Fuzzy Systems, Evolutionary Computing and Automation 978-960-474-292-9 219