Add to ORKGComplex problem solving typically involves the generation of a procedure consisting of an ordered sequence of steps. Analogical reasoning is one strategy for solving complex problems, and visual reasoning is another. Visual analogies pertain to analogies based only on visual knowledge. In this paper, we describe the use of Galatea, a computational model of visual analogies in problem solving, to model the problem solving of a human subject (L14). L14 was a given the task of solving a complex problem using analogy in a domain that contained both visual and non-visual knowledge, and was encouraged to use visual analogy. We describe howGalatea models L14's use of visual analogy in problem solving
Analogical reasoning refers to the process of drawing inferences on the basis of the relational simi...
International audienceDevelopment of analogical reasoning is often explained by general maturation o...
Is analogical reasoning a task that must be learned to solve from scratch by applying deep learning ...
Complex problem solving typically involves the generation of a procedure consisting of an ordered se...
Visual analogy is believed to be important in human problem solving. Yet, there are few computationa...
Computational models of analogical problem solving have traditionally described source and target do...
Psychological evidence suggests that humans use visual knowledge and reasoning in solving complex pr...
Abstract. Visual representations seem to play a significant role in many creative analogies. In this...
Abstract. We present a computational model of case-based visual problem solving. The Galatea model a...
This paper outlines a theory of analogical reasoning based on a process-model of problem solving by ...
Geometric analogy problems remain an intriguing part of intelligence scales, which is closely correl...
Analogical thinking is significant in problem solving. This chapter discusses the use of diagrams as...
iAbstract The making of analogies is a powerful and potentially creative process that is both subtle...
Problem solving is a complex cognitive activity that involves the construction of sequences of actio...
We see the external world as consisting not only of objects and their parts, but also of relations t...
Analogical reasoning refers to the process of drawing inferences on the basis of the relational simi...
International audienceDevelopment of analogical reasoning is often explained by general maturation o...
Is analogical reasoning a task that must be learned to solve from scratch by applying deep learning ...
Complex problem solving typically involves the generation of a procedure consisting of an ordered se...
Visual analogy is believed to be important in human problem solving. Yet, there are few computationa...
Computational models of analogical problem solving have traditionally described source and target do...
Psychological evidence suggests that humans use visual knowledge and reasoning in solving complex pr...
Abstract. Visual representations seem to play a significant role in many creative analogies. In this...
Abstract. We present a computational model of case-based visual problem solving. The Galatea model a...
This paper outlines a theory of analogical reasoning based on a process-model of problem solving by ...
Geometric analogy problems remain an intriguing part of intelligence scales, which is closely correl...
Analogical thinking is significant in problem solving. This chapter discusses the use of diagrams as...
iAbstract The making of analogies is a powerful and potentially creative process that is both subtle...
Problem solving is a complex cognitive activity that involves the construction of sequences of actio...
We see the external world as consisting not only of objects and their parts, but also of relations t...
Analogical reasoning refers to the process of drawing inferences on the basis of the relational simi...
International audienceDevelopment of analogical reasoning is often explained by general maturation o...
Is analogical reasoning a task that must be learned to solve from scratch by applying deep learning ...