Neurorehabilitation analysed through ‘situated learning’ theory
نویسندگان
چکیده
منابع مشابه
The Theory Behind Theory - Computer Science Education Research Through the Lenses of Situated Learning
This paper introduces key characteristics of the situated learning approach and discusses from that perspective questions of pedagogy and educational research in Theory of Computation. This discussion exemplifies how a change in learning theories alters the unit of analysis, thus reframing research questions and potential answers. In its conclusion, this paper provides an outlook on potential r...
متن کاملLearning Grounded Language through Situated Interactive Instruction
We present an approach for learning grounded language from mixed-initiative human-robot interaction. Prior work on learning from human instruction has concentrated on acquisition of task-execution knowledge from domainspecific language. In this work, we demonstrate acquisition of linguistic, semantic, perceptual, and procedural knowledge from mixed-initiative, natural language dialog. Our appro...
متن کاملRobot Shaping: Developing Situated Agents through Learning*
Learning plays a vital role in the development of situated agents. In this paper, we explore the use of reinforcement learning to "shape" a robot to perform a predefined target behavior. We connect both simulated and real robots to ALECSYS, a parallel implementation of a learning classifier system with an extended genetic algorithm. After classifying different kinds of Animatlike behaviors, we ...
متن کاملLearning situated knowledge bases through dialog
To respond to a user’s query, dialog agents can use a knowledge base that is either domain specific, commonsense (e.g., NELL, Freebase) or a combination of both. The drawback is that domain-specific knowledge bases will likely be limited and static; commonsense ones are dynamic but contain general information found on the web and will be sparse with respect to a domain. We address this issue th...
متن کاملLearning Task Formulations through Situated Interactive Instruction
We present an agent, called RosieTAG, which is implemented in Soar and interacts with an external robotic environment. Rosie learns new games through interactive instruction with a human via restricted natural language. Instead of learning policy or strategy information as is common in other game learners, Rosie learns multiple game formulations (the objects, players, and rules of a game) and t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scandinavian Journal of Disability Research
سال: 2013
ISSN: 1501-7419,1745-3011
DOI: 10.1080/15017419.2013.781956