Because of their analytical training, practitioners are in a unique position to serve pig producers. However, to meet the needs of a dramatically changing industry, the veterinary profession must adopt a business-oriented problem-solving approach to client service. The key ingredients of this approach are understanding the interrelationships among production system components, and applying appr...

Two general, problematic aspects of deductive planning, namely, detecting unsolvable planning problems and solving a certain kind of postdiction problem, are investigated. The work is based on a resource oriented approach to reasoning about actions and change using a logic programming paradigm. We show that ordinary resolution methods are insufficient for solving these problems and propose prog...

The requirements engineering (RE) process is a decision-rich complex problem solving activity. This paper examines the elements of organization-oriented macro decisions as well as process-oriented micro decisions in the RE process and illustrates how to integrate classical decision-making models with RE process models. This integration helps in formulating a common vocabulary and model to impro...

As object-oriented approaches to software engineering are gaining wider acceptance, the body of software components available as reusable objects is expected to grow accordingly. The emerging object oriented database technology promises to provide appropriate access paths to such, possibly large and semantically rich, software bases [5]. The software engineer is then responsible for solving pro...

As they gain expertise in problem solving, people increasingly rely on patterns and spatially-oriented reasoning. This paper describes the integration of an associative visual pattern classifier and the automated acquisition of new, spatially-oriented reasoning agents that simulate such behavior. They are incorporated into a game-learning program whose architecture robustly combines agents with...

This paper studies the solution of large-scale sparse linear least squares problems on distributed-memory multiprocessors. The method of corrected semi-normal equations is considered. New block-oriented parallel algorithms are developed for solving the related sparse triangular systems. The arithmetic and communication complexities of the new algorithms applied to regular grid problems are anal...

Since cognition could be treated as problem-solving issues based on dynamical knowledge transferring and propagation, the meta-learning and group learning are put forward in conformance with meta-cognition and group cognition through New Product Development (NPD) analysis. To meet the globally distributed tendency of problem solving with cognitive intention based on Internet technology, a P2P-b...

Computer science (CS) curricula are composed of various study modules, each of which focuses on particular contents, concepts, principles, and associated problem-solving methods. Developers of CS curricula recommend that students become acquainted with different programming paradigms in order to acquire alternative ways of computational thinking and various approaches for problem solving. In th...

This paper describe the functional architecture of CHARADE a software platform devoted to the development of a new generation of intelligent environmental decision support systems. The CHARADE platform is based on the a task-oriented approach to system design and on the exploitation of a new architecture for problem solving, that integrates case-based reasoning and constraint reasoning. The pla...

Single-particle imaging experiments of biomolecules at x-ray free-electron lasers (XFELs) require processing hundreds of thousands of images that contain very few x-rays. Each low-fluence image of the diffraction pattern is produced by a single, randomly oriented particle, such as a protein. We demonstrate the feasibility of recovering structural information at these extremes using low-fluence ...