There is a growing body of research focused within the context of human-environment interactions. This research has been initiated to provide tools to aid decision makers who must plan and manage lands to accommodate increasing human use while at the same time, maintaining the ecological integrity of those lands. Conventional methods used in planning and management of human- landscape interactions fall far short of the needs of decision makers who need to evaluate the impacts of humans in different landscapes. Many public land agencies, local governments and international organizations are exploring the use of multi-agent simulations coupled with social science data for developing long-term strategies for evaluating human-landscape interactions. In particular, spatial agent-based models are being explored with some success to provide a better understanding of the spatial and temporal patterns of human-landscape interactions and to predict how distributions of this use are likely to change in response to both management actions and factors not subject to managerial control. While the application of simulation to study human-landscape interactions is in its infancy, there is need to develop a comprehensive and empirically based framework for linking the social, biophysical and geographic disciplines across space and time. This paper will explore the current state of spatial/temporal simulations that integrate human behavior and environmental factors as applied to decision-making in spatially referenced dynamic environments and will provide some insight into what has been learned and more importantly discuss some ideas for development and application of this type of modelling in the future.