Tests the efficacy of social problem-solving therapy for unipolar depression and examines the relative contribution of training in the problem-orientation component of the overall model. This process involves various beliefs, assumptions, appraisals, and expectations concerning life's problems and one's problem-solving ability. It is conceptually distinct from the remaining four problem-solving...

This chapter reports progress in extending the Soar architecture to tasks that involve interaction with external environments. The tasks are performed using a Puma arm and a camera in a system called Robo-Soar. The tasks require the integration of a variety of capabilities including problem solving with incomplete knowledge, reactivity, planning, guidance from external advice, and learning to i...

Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such a system. The problem solving module is able to combine diverse problem solving strategies on a single problem, by using a common representation for operators, and learning operators by analyzing solution traces. At th...

frequent interaction among family members, may lead to conflict or problems. therefore, designing intervention programs for promote interpersonal skills among family members seemed to be necessary. one of these programs is problem solving strategies teaching.  this study aime to investigate the effects of teaching problem solving on parenting style and family problem solving. the sample is cons...

Learning by imitation is a powerful process for acquiring new knowledge, but there has been little research exploring imitation’s potential service to the problem-solving domain. Classical problem-solving techniques tend to center around reinforcement learning, which requires significant trial-and-error learning to reach successful goals and problem solutions. Heuristics, hints, and reasoning b...

Mixed-initiative systems (MIS) are interactive problem solvers where human and machine intelligence are combined for their respective superiority. A flexible model of interaction is employed and each problem-solving agent (human or machine) contributes to the tasks what it does best, in the best opportune task context. Several interaction models have been proposed, such as natural language dial...

The increasing use of computer-mediated communication (CMC) by knowledge workers in problemsolving environments intensifies the need for empirical evidence on the effects of interruption on users’ problem-solving performance. Email and instant messaging are common desktop and mobile applications that frequently seek the user’s attention via audible and visual cues. This study is concerned with ...

This paper describes an approach to the design of online help for programming tasks and modelling tasks, based on a theoretical framework of problem solving and learning. The framework leads to several design principles which are important to the problem of when and how to supply help information to a learner who is constructing a solution to a given problem. We will describe two example domain...