Research on Modeling Farming Decisions in Uttarakhand
13 Pages Posted: 15 Dec 2015
Date Written: December 14, 2015
Decision-making is a region of intense study in agriscience and cognitive agriscience. In real, World decision processes, management decisions emerge from complexly interlinked. Question is how farmer make decisions. Brain considers sources of information before decision. In particular, the processes by which individuals reach decisions have been ignored. Problems confronting decision makers often embody conflicting values. Farmer often fails to design ‘rational’ decisions. When faced with obscure decision, farmers engage in strategic simplifications of decision problems. How do farmers coordinate their activity when making a decision? This proposal explores certain agri-underpinnings in farmer's decision modeling. Brain structures suggest that brain considers various sources of information before making decision, Brain imaging technologies have stimulated agri (farmers) studies of internal order of mind and its links with bandwidth of human decisions, how is (farmers) decision making processes carried out in brain? What are the limits of understanding thinking as a form of computing? How does previous experience alter behavior? Do we interpret research findings when agri (farmers) logical results conflict? Imaging is an important aspect of dynamic capabilities and there is an increasing amount of evidence of how evolutionary patterns are shaped, There are yet unsolved problems in (farmers) cognition, although some of these problems have evidence supporting a hypothesized solution, and the field is rapidly evolving, What are the general implications of agri (farmers) management? There are unsolved Research issues; how does Farmer decide in a state of vacillation, Risk and Probability? How does a Farmer decide in state of VUCA (Uncertainty, Vulnerability, Complexity and Ambiguity? How do we make decisions?
Keywords: Decision-Making, Cognitive Agriscience, Brain Imaging Technologies, VUCA
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