Several disciplines, including artificial intelligence, operations research and many others, study how to make good decisions. In this overview article, we argue that the key to making progress in our research area is to combine their ideas, which often requires serious technical advances to reconcile their different assumptions and methods in a way that results in synergy among them. To illust...

Therapeutic efficacy of mastitis can result in frustrating clinical outcomes, depending on the causative pathogen, the severity and duration of infection, and expectations of the dairy producer. In herds that have controlled contagious mastitis, costs incurred from clinical mastitis likely account for the largest proportion of total herd mastitis costs, and in some instances, a majority of thes...

Decision making is one of the most important recurring responsibilities facing managers in organizations. Choices are called for on a regular basis with important consequences. To make a decision, the manager must choose among ways to deal with problems confronting an organization. The choice among these alternatives often makes irrevocable commitments. Once a decision is made, resources have b...

As the environments that intelligent agents operate in become more reflective of the real world, agent’s decision-making processes must become more nuanced. In this paper, we present a decision-making model for an intentional agent which has been inspired by Kohlberg’s theory of moral development and the appraisal theory of emotion. Agents utilising this model anticipate how undertaking actions...

(To appear as a chapter in " Research priorities for nature conservation " in 2001 – a book sponsored by the Society for Conservation Biology and edited by Soule, Orians and Kohm)

Given a speech recognition hypothesis, a dialogue system has the choice of accepting or rejecting this hypothesis, but can also choose to provide evidence of understanding, such as a clarification request, or display its understanding. In 3.3.2.7, this choice was referred to as the grounding decision problem. In the previous chapters, a static model with hand-crafted thresholds was used. In thi...

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There is often seen in the literature a disconnect between higher-level artificial intelligence and lower-level controls research. Too often, path planners do not account for the physical capabilities of the agents that will be following their paths. Similarly, the best controllers available need to be given trajectories from somewhere. This work presents a combined architecture that links a hi...