Ensuring a sustainable livelihood to the larger counts of the population is the most challenging agenda of any developing country. So this work wants to quantify the level of under achievements of different economies in the field of sustainable livelihood. The contribution of influencing variables of under-achievement and contributing variables to achievement in the construction of under achievement livelihood space is also determined under this work. The interaction between these two types of variables and their juxtaposed effects are evaluated through the use of artificial neural network. Finally this method of artificial intelligence is used to achieve a self-sustained monotonic high rate of development. The whole work is presented through a set theoretic approach which is followed by the testing of the same. It is expected that the application of neural network in the process of self-sustained growth of sustainable livelihood is unique in academic discourses.

Artificial Intelligence, Sustainable livelihood, Graph theory, Artificial Neural Network, Sustainable Livelihood, Under achievement.

[1]. DFID. Department for International Development. UK : s.n., 2000.
[2]. www.gov.uk. www.gov.uk. [Online] 1997. https://www.gov.uk/government/organisations/department-for-international-development.
[3]. The Sustainable Livelihoods Approach, From a psychological perspective. Elsemarie Kappel Petersen, Michelle Lind Pedersen. s.l.: University of Aarhus, June 2010, The Sustainable Livelihoods Approach.
[4]. UNDP. Application of the Sustainable Livelihoods Framework in Development Projects. s.l. : United Nations Development Programme, 2017.
[5]. Sustainable rural livelihoods: practical concepts for the 21st century. Robert Chambers, Gordon Conway. 1992, IDS Discussion, pp.296, 1992.
[6]. Krantz, Lasse. The Sustainable Livelihood Approach to Proverty Reduction. The Sustainable Livelihood Approach to Proverty Reduction. s.l. : Swedish International Developmenent Cooperation Agency, pp.1-44, 2001.
[7]. Microcredit, Social Capital, and Common Pool Resources. C.LeighAnderson, LauraLocker. 1, s.l. : Elseviar Science Ltd, 2002, World Development, Vol.30, pp.98-105, 2002.
[8]. Arild Angelsen, Helle Overgaard Larsen, Carsten Smith Olsen. Measuring Livelihoods and Environmental Dependence Methods for Research and Fieldwork. London : s.n., 2012.
[9]. Human-Level Artificial Intelligence? Be Serious! Nilsson, Nils J. 2005, American Association for Artificial Intelligence, pp. 68-75.
[10]. Explanation in Artificial Intelligence: Insights from the Social Sciences. Miller, Tim. 2017, Artificial Intelligence.
[11]. John Morton, Nicholas Meadows. Pastoralism and sustainable livelihoods: An emerging agenda. Pastoralism and sustainable livelihoods: An emerging agenda. s.l. : Natural Resources Institute, University of Greenwich, 2000.
[12]. Tourism as a sustainable livelihood strategy. Teresa C.H. Tao, Geoffrey Wall. s.l. : Elsevier, , Tourism Management, pp.90-98, 2009.
[13]. Sustainable livelihoods and people’s vulnerability in the face of coastal hazards. JC Gaillard, Emmanuel A. Maceda, Elodie Stasiak, Iwan Le Berre, Maria Victoria O. Espaldon. s.l. : Springer Science, Journal of Coastal Conservation, June, pp.119-129, 2009.
[14]. Quantum multidimensional color images similarity comparison. Ri-Gui Zhou, Ya-Juan Sun. 2014, Quantum Information Processing, pp.1605-1624, 2014.