Restructuring of the power market introduced demand uncertainty in transmission expansion planning (TEP), which in turn also requires an accurate estimation of demand not served (DNS). Unfortunately, the graph theory based minimumcut maximum-flow (MCMF) approach does not ensure that electrical laws are followed. Nor can it be used for calculating DNS at individual buses. In this letter, we prop...

Recent trends in digitalization combined with continuous innovation pressure lead to an increasing number of IT project, which nowadays are accomplished within huge IT project portfolios. Even though numerous IT project and portfolio evaluation and planning approaches have been developed and applied in companies all over the world, about 25% of IT projects still fail, which may result in a glob...

This paper presents a challenge problem for decision-theoretic planners. State-space planners reason globally, building a map of the parts of the world relevant to the planning problem, and then attempt to distill a plan out of the map. A planning problem is constructed that humans find trivial, but no state-space planner can solve. Existing POCL planners cannot solve the problem either, but fo...

Conditions of information independence are important in information economics and game theory. We present notions of partial independence in Bayesian environments, and study their relationships to notions of common knowledge.

A novel approach to perform motion planning on 2 or 3 degrees-of-freedom manipulators utilising a fluid motion planning model is proposed. It is demonstrated that through the introduction of transformations, the conventional trajectory planning problem in the configuration space (C-space) can be efficiently solved from the closed form solution of the fluid motion planner. The proposed motion pl...

This paper describes several Jet Propulsion Laboratory research efforts being conducted to support Mars sample return in the coming decade. After describing the 2003/05 mission scenario, we provide an overview of new technologies emerging from three complimentary research efforts: Long Range Science Rover, Sample Return Rover, and FIDO Rover. The results show improvements in planning, navigatio...

This paper synthesizes general constraint satisfaction and classical AI planning into a theory of incremental change that accounts for multiple objectives and contingencies. The hypothesis is that this is a new and useful paradigm for problem solving and re-solving. A truth maintenance-based architecture derived from the theory is useful for contingent assignment problems such as logistics plan...

This article discusses the problem of the effectiveness of spatial planning by means of a comparison between the theory of Saey (spatial planning regulates a social struggle for collectiveinterests) and collaborative planning as elaborated by Healey, starting from the viewpoint that spatial planning is a large-scale practical project. This type of project has a built-in tendency tofail....

This paper describes SiN, a novel case-based planning algorithm that combines conversational case retrieval with generative planning. SiN is provably correct, and can generate plans given an incomplete domain theory by using cases to extend that domain theory. SiN can also reason with imperfect world-state information by incorporing preferences into the cases. Our empirical validation shows how...