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IJCAI 2007

Conference Paper Uncertainty Artificial Intelligence

Abstract

Shapiro et al. , presented a framework for representing goal change in the situation calculus. In that framework, agents adopt a goal when requested to do so (by some agent), and they remain committed to the goal unless the request is cancelled by that agent. A common assumption in the agent theory literature is that achievement goals that are believed to be impossible to achieve should be dropped. In this paper, we incorporate this assumption into Shapiro et al. 's framework, however we go a step further. If an agent believes a goal is impossible to achieve, it is dropped. However, if the agent later believes that it was mistaken about the impossibility of achieving the goal, the agent might readopt the goal. In addition, we consider an agent's goals as a whole when making them compatible with their beliefs, rather than considering them individually.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
928154244181430594
v2026.09.13