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Abstract
This thesis describes the implementation of two software applications: REGEN Agent and REGEN Agent for Excel. REGEN Agent is an expert system and modeling application providing a mechanism for forest regeneration prediction based on the Loftis regeneration model. The Loftis model is both a stochastic and a competitive model that utilizes expert knowledge encoded in a knowledge base and applies this knowledge utilizing an underlying engine. REGEN Agent for Excel is a composition of both REGEN Agent and a client application written in Visual Basic for Applications and implemented in Microsoft Excel. This end-user application makes the REGEN model accessible to end-users in both the expert and management domains. Theoretical foundations, programming methodology and a sample application are provided in the thesis document, which is intended and targeted as a general resource for all interested users.