Incorporating acoustic objectives into Forest Management Planning when sensitive bird species are relevant

Forest Management Under Uncertainty for Multiple Bird Population Objectives

We advocate adaptive programs of decision making and monitoring for the management of forest birds when responses by populations to management, and particularly management trade-offs among populations, are uncertain. Models are necessary components of adaptive management. Under this approach, uncertainty about the behavior of a managed system is explicitly captured in a set of alternative model...

When Are Context-sensitive Beliefs Relevant?

I begin with the question of whether self-locating beliefs can be relevant to beliefs de dicto. Can it ever be rational for an agent to change her degree of belief in a belief de dicto as a result of gaining only self-locating information? To analyze this question, I develop a formal technique for modeling the ideally rational evolution of an agent’s degrees of belief as she learns new informat...

Decision-theoretic Planning under Risk-sensitive Planning Objectives

Incorporating Planning into BDI Systems

Many architectures of autonomous agent have been proposed throughout AI research. The most common architectures, BDI, are procedural in that they do no planning, seriously curtailing an agent’s ability to cope with unforeseen events. In this paper, we explore the relationship between propositional planning systems and the process of means-ends reasoning used by BDI agents and define a mapping f...

Cost Effective Acoustic Monitoring of Bird Species

Climate change and human encroachment are some of the major threats facing several natural ecosystems around the world. To ensure the protection of ecosystems under threat, it is important to monitor the biodiversity within these ecosystems to determine when conservation efforts are necessary. For this to be achieved, technologies that allow large areas to be monitored in a cost effective manne...