The study evaluated the major constraints hampering the effective functioning of the Nigerian Agricultural Cooperative and Rural Development Bank (NACRDB) in Kogi State, Nigeria. Using the food crop farmers as a case study, a multi-stage random sampling technique was used to select three agricultural zone in Kogi State ( zone A, B, and C).Primary data were collected through the use of structure...

We derive new cut-set bounds on the achievable rates in a general multi-terminal network with finite number of states. Multiple states are common in communication networks in the form of multiple channel and nodes’ states. Our results are broadly applicable and provide much tighter upper bounds than the known single state min-cut max-flow theorem, and hence form an important new tool to bound t...

This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose a multi-level approach which builds a progressively more advanced representation of the learning problem. The idea is that agents start with a minimal single agent state space representation, which is expanded only whe...

Inspired by the increasing possibility of experimental control in ultra-cold atomic physics we introduce a new Lax operator and use it to construct and solve models with two wells and two on well states together with its generalization for n on well states. The models are solved by the algebraic Bethe ansatz method and can be viewed as describing two Bose-Einstein condensates allowing for an ex...

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Adaptive models of opinion formation among humans can display a fragmentation transition, where a social network breaks into disconnected components. Here we investigate this transition in a class of models with arbitrary number of opinions. In contrast to previous work we do not assume that opinions are equidistant or arranged on a one-dimensional conceptual axis. Our investigation reveals det...