This article presents JACEP2P-V2, a Java environment dedicated to designing parallel iterative asynchronous algorithms (with direct communications between nodes) and executing them on global computing architectures or distributed clusters composed by a large number of volatile heterogeneous distant computing nodes. This platform is fault tolerant, multi-threaded and completely decentralized. In...

Building a problem solver and acquiring the knowledge needed to operate it are the two central goals of knowledge engineering. To achieve these goals, knowledge engineers construct models of the domain and of the task of interest. The various approaches used for modeling, however, have so far failed to define methods and techniques that can be applied across domains and tasks, and to produce mo...

introduction: the term dynamic assessment (da) refers to an assessment, by an active teaching process, of a child's perception, learning, thinking, and problem solving. the process is aimed at modifying an individual's cognitive functioning and observing subsequent changes in learning and problem-solving patterns within the testing situation. da has been advocated as an alternative an...

Most law school mediation courses teach a set of problem-solving skills that are seen as useful in lawyering and that are also taught in other lawyering skills courses. By contrast, some mediation courses present a relatively new approach called “transformative mediation” and teach a different set of skills focused primarily on “interactional support” rather than on problem solving. This Articl...

The purpose of a learner is to make changes in a performance system to do similar tasks more effectively the next time. The meaning of “more effectively” can be only asserted in the context of the learner’s goals. Three types of learning goals can be distinguished in the context of planning systems: domain goals, planning efficiency goals, and plan efficiency or plan quality goals. Most work to...

The dynamics and unpredictability of open environments pose a challenge to agent development. Agents operating in these environments must be able to adapt processing to the available resources and the current problem solving context. The ability to satisfice ubiquitously, in all aspects of agent problem solving, is the key to existing in these environments.

ModellingSpace is an open learning environment, particularly suitable for science education, which permits building of models by collaborating partners in various educational settings. This paper describes the main features of the ModellingSpace environment and in particular issues related with coordination and communication during problem solving. A number of evaluation studies of ModellingSpa...