This paper discusses the analogical/case-based planning approach developed in PRODIGY/ANALOGY. The technique involves planning for complex problems by the multi-case reuse of simpler past plans that are conjunctively similar to a new planning situation. The paper demonstrates this effective incremental planning strategy by providing empirical results on the performance of PRODIGY/ANALOGY solvin...

This study presents an interactive airline network design procedure to facilitate bargaining interactions necessitated by international code-share alliance agreements. Code sharing involves partner airlines individually maximizing their own profits, while mutually considering overall profitability, traffic gains, and quality benefits for the markets in which they cooperate with their partners. ...

Real-world decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes only a single objective, or that multiple objectives can be adequately handled via simple linear combination. Such approaches may oversimplify underlying probl...