In this paper we propose a formalism for symbolic negotiation. We regard symbolic negotiation as cooperative problem solving (CPS), which is based on symbolic reasoning and is ext...
information technologies as "the ability to reformulate knowledge, to express oneself creatively and appropriately, and to produce and generate information (rather than simply...
John Maloney, Leo Burd, Yasmin B. Kafai, Natalie R...
Granular computing is not only a computing model for computer-centered problem solving, but also a thinking model for human-centered problem solving. Some authors have presented t...
We explored the complex interplay between students' affective states and problem solving outcomes. We conducted a study where 41 students solved 28 analytical reasoning proble...
Sidney K. D'Mello, Natalie K. Person, Blair Lehman
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
One objective of distributed artificial intelligence research is to build systems that are capable of cooperative problem solving. To this end, a number of implementation-oriented ...
Problem solving in weak theory domains should compensate for the lack of strong theories by combining the various other knowledge types involved. Such methods should be able to eff...
Visualization has proved an e ective tool in the understanding of large data sets in computational science and engineering. There is growing interest today in the development of p...
Ken Brodlie, A. Poon, Helen Wright, L. Brankin, G....
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 ...
Engineering problem solving requires both domain knowledge and an understanding of how to apply that knowledge. While much of the recent work in qualitative physics has focused on...