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This paper presents a novel cooperative-driving prediction and planning framework for dynamic environments based on the methods of game theory. The proposed algorithm can be used for highly automated driving on highways or as a sophisticated prediction module for advanced driver-assistance systems with no need for intervehicle communication. The main contribution of this paper is a model-based interaction-aware...
Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state at all sites cannot be determined easily and exactly due to the spatial distribution of sites and the low degree of automation. For re-planning in case of failures, the possible alternative actions have to...
The Climate CoLab is a system to help thousands of people around the world collectively develop plans for what humans should do about global climate change. This paper shows how the system combines three design elements (model-based planning, on-line debates, and electronic voting) in a synergistic way. The paper also reports early usage experience showing that: (a) the system is attracting a continuing...
Waiting time in emergency department before admission is one of the most important cause of overcrowding of the department. Many difficulties are faced by the decision maker in charge of assigning a bed both to emergency patients and elective inpatients. He has to take into account many constraints and has to find a solution optimizing multiple criteria. He has to deal with the need to minimize the...
Loyalty reward programs (LRPs), initially developed as marketing programs to enhance customer retention, have now become an important part of customer-focused business strategies. With the growth in these programs, the complexities in their management and control have also increased. One of the challenges faced by LRPs managers is that of developing models to address various forecasting issues to...
In this paper, decision-making models for orthodontic tooth extraction in treatment planning that are fully compatible with the digital associative processor has been developed. The architecture of the models was designed according to the specification of the digital associative processor. Feature variables were extracted from the pre-treatment clinical records of orthodontic patients and projected...
The construction industry has been facing a paradigm shift to (i) increase; productivity, efficiency, infrastructure value, quality and sustainability, (ii) reduce; lifecycle costs, lead times and duplications, via effective collaboration and communication of stakeholders in construction projects. Digital construction is a political initiative to address low productivity in the sector. This seeks...
Rational decision making is concerned with the selection of a specific alternative which, within the best available knowledge, is most preferable in terms of some judgment. In this paper we shall model a decision making process which represents how national decision making can be arrived at. The need for planning within the decision making process is then discussed. The remainder of the paper focuses...
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