Dynamic constraint satisfaction is a useful tool for representing and solving sequential decision problems with complete knowledge in dynamic world and particularly constrained resource allocation problems. However, when resources are unreliable, this framework becomes limited due to the stochastic outcomes of the assignments chosen. On the contrary, Markov Decision Processes (MDPs) handle stoc...

This article examines the evolving patent term extension schemes under the Patents Act 1903 (Cth), the Patents Act 1952 (Cth) and the Patents Act 1990 (Cth). The analysis traces the change from "inadequate remuneration" to a scheme directed specifically at certain pharmaceuticals. An examination of the policy justification shows there are legitimate questions about the desirability of any exten...

Extension and advisory services are integral to the AIS, where now more than ever they play a brokering role, linking key actors such as producer organizations, research services, and higher education. This module looks at the history and current status of extension and advisory services and examines important topics such as pluralism, new roles for extension, new kinds of service providers, IC...

This study uses Rwandan household survey data to evaluate the impact of conflict-induced migration on agricultural productivity, as well as to assess the effect of the Rwandan government’s housing and land redistribution policy. The hypothesis that the policy improved output by a pure resource effect is tested against a human capital spill-over effect hypothesis. Time differentials in the imple...

We generalize the guaranteed-service (GS) model for multi-echelon safety stock placement to include capacity constraints. We first develop an extension of the single-stage base-stock model to include a capacity constraint. We then use this result to model a multi-stage system with a base-stock operating policy. We establish that we can adapt the existing algorithms for the unconstrained case to...