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In this paper we propose the use of Lego robots in labs for case-based reasoning learning.
These techniques are computational systems that try to mimic human behaviour, such as perception, reasoning, learning, evolution, and adaptation.
In the last years human robot interaction has become an important research field that spans all of the robot capabilities including perception, reasoning, learning, manipulation and navigation.
An radio environment map (REM) can be exploited by a CE to enhance or achieve most of cognitive functionalities such as SA, reasoning, learning, planning, and decision support.
In addition, our experiments revealed the need for further research on the representation of spatial objects and reasoning, learning and communication about allocation problems using MAS.
It consists of active processes that generate knowledge by means of a tight cooperation of perception, reasoning, learning and prior models.
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There is powerful, widely accepted evidence that working memory plays an important role in everything from reading ability and problem-solving to reasoning and learning new skills.
Neurofuzzy models are used to achieve the reasoning and learning capabilities of FL and NN, respectively.
Conversely, lower levels of teleological reasoning predicted learning gains in understanding natural selection over the course, but did not predict students' acceptance of evolution.
The hypothesis pursued by the chapter is that the invariant that guides human reasoning and learning about events is causal structure.
It includes a novel reconfigurable NoC design, four data encoding strategies, and an intelligent REasoning And Learning (REAL) framework for encoding strategy selection.
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