Affordance Based Framework of Human Problem Solving: a Nonrepresentational Alternative

Problem solving is a crucial higher-order thinking ability of humans. Humans' ability to solve problems is a critical higher-order thinking ability. Mathematical problem solving, analogical problem solving, complex problem solving, situated problem solving, and so on are all examples of problem solving. Furthermore, distinct types of research analysis, models, and theories are based on the mechanisms and elements involved in diverse problem-solving types. The conventional approach to understanding human problem solving is a representation-laden description, which is similar to most cognitive explanations of psychological processes. On the other hand, the paper goes beyond representational theories and models to investigate nonrepresentational and situated aspects of human problem solving. Problem solving is a crucial higher-order thinking ability of humans. The paper is a rudimentary attempt to present a nonrepresentational, Affordance-Situation-Attunement (ASA) framework of human problem solving. The aim is to invoke ASA as an alternative framework, in contrast with the dominant representational explanation of human problem solving. The aim is not to disparage the representational theories and models of problem solving but to contribute a nonrepresentational working framework and elements for highlighting the situated nature of human problem solving. Keywords: Problem solving, affordances, embodied cognition, situated cognition, ecological psychology

Indirect Analogical Reasoning Components

If using different instruments obtained a different analogical reasoning component. With use people-piece analogies, verbal analogies, and geometric analogies, have analogical reasoning component consists of encoding, inferring, mapping, and application. Meanwhile, with use analogical problems (algebra, source problem and target problem is equal), have analogical reasoning components consist of structuring, mapping, applying, and verifying. The instrument used was analogical problems consisting of two problems where the source problem was symbolic quadratic equation problem and the target problems were trigonometric equation problem and a word problem. This study aims to provide information analogical reasoning process in solving indirect analogical problems. in addition, to identify the analogical reasoning components in solving indirect analogical problems. Using a qualitative design approach, the study was conducted at two schools in Mataram city of Nusa Tenggara Barat, Indonesia. The results of the study provide an overview of analogical reasoning of the students in solving indirect analogical problems and there is a component the representation and mathematical model in solving indirect analogical problems. So the analogical reasoning component in solving indirect analogical problems is the representation and mathematical modeling, structuring, mapping, applying, and verifying. This means that there are additional components of analogical reasoning developed by Ruppert. Analogical reasoning components in problem-solving depend on the analogical problem is given.

Performance of Azure-winged magpies in Aesop’s fable paradigm

In this study, the improved Aesop’s fable paradigm—a series of experiments originally used to test whether some animals understand the causality associated with water replacement—was used to explore the cognitive ability of Azure-winged magpies (Cyanopica cyanus). Experimental results on causal cue tasks showed that the Azure-winged magpies prefer water-filled tubes over sand-filled tubes, heavy objects over light objects, and solid objects over hollow objects. However, they failed to notice the diameter and water level of the tubes. They also failed to pass the counterintuitive U-shaped tube task in arbitrary cue tasks. Our results demonstrated that Azure-winged magpies have a certain cognitive ability but not an understanding of causality, a characteristic comparable to that of other corvids. Moreover, Azure-winged magpies exhibited the ability of training transfer and analogical problem solving from the perspective of cognitive psychology. We believe that object-bias has little effect on Azure-winged magpies in this study. We can conclude that the Azure-winged magpies partially completed the tasks by trial-and-error learning.

Probabilistic analysis of a virtual road traffic model

Based on the road infrastructure model developed in the publication [4], having data obtained from sources - observation points - in [6], and transferred thanks to telecommunications techniques analyzed in [8], it was possible to reflect traffic components and its monitoring on the examined virtual reality area. Using the simulation method, the problem of road traffic was transformed into the analogical problem of monitoring the trajectory in an computer model. This article considers the system's analytical layer.

The role of retrieval practice in memory and analogical problem-solving

Retrieval practice (e.g., testing) has been shown to facilitate long-term retention of information. In two experiments, we examine whether retrieval practice also facilitates use of the practised information when it is needed to solve analogous problems. When retrieval practice was not limited to the information most relevant to the problems (Experiment 1), it improved memory for the information a week later compared with copying or rereading the information, although we found no evidence that it improved participants’ ability to apply the information to the problems. In contrast, when retrieval practice was limited to only the information most relevant to the problems (Experiment 2), we found that retrieval practice enhanced memory for the critical information, the ability to identify the schematic similarities between the two sources of information, and the ability to apply that information to solve an analogous problem after a hint was given to do so. These results suggest that retrieval practice, through its effect on memory, can facilitate application of information to solve novel problems but has minimal effects on spontaneous realisation that the information is relevant.