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2015 International Conference on Interactive Collaborative Learning (ICL), 2015
This article presents a new training model that uses social networks integrated in a Moodle environment through a plug-in called Glesone. The plug-in is a piece of software built to provide the moodle platform with possibilities of facebook-style comments. This feature, more than solely appearance, allows the possibility to evolve from virtual learning
Juan Carlos Torres-Diaz +5 more
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This article presents a new training model that uses social networks integrated in a Moodle environment through a plug-in called Glesone. The plug-in is a piece of software built to provide the moodle platform with possibilities of facebook-style comments. This feature, more than solely appearance, allows the possibility to evolve from virtual learning
Juan Carlos Torres-Diaz +5 more
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On the Efficiency of Social Learning
Econometrica, 2017We revisit prominent learning models in which a sequence of agents make a binary decision on the basis of both a private signal and information related to past choices. We analyze the efficiency of learning in these models, measured in terms of the expected welfare.
Rosenberg, Dinah, Vieille, Nicolas
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Nature Neuroscience, 2007
Research across species highlights the critical role of the amygdala in fear conditioning. However, fear conditioning, involving direct aversive experience, is only one means by which fears can be acquired. Exploiting aversive experiences of other individuals through social fear learning is less risky.
Andreas, Olsson, Elizabeth A, Phelps
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Research across species highlights the critical role of the amygdala in fear conditioning. However, fear conditioning, involving direct aversive experience, is only one means by which fears can be acquired. Exploiting aversive experiences of other individuals through social fear learning is less risky.
Andreas, Olsson, Elizabeth A, Phelps
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Trends in Cognitive Sciences
Social learning is complex, but people often seem to navigate social environments with ease. This ability creates a puzzle for traditional accounts of reinforcement learning (RL) that assume people negotiate a tradeoff between easy-but-simple behavior (model-free learning) and complex-but-difficult behavior (e.g., model-based learning).
Leor M, Hackel +2 more
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Social learning is complex, but people often seem to navigate social environments with ease. This ability creates a puzzle for traditional accounts of reinforcement learning (RL) that assume people negotiate a tradeoff between easy-but-simple behavior (model-free learning) and complex-but-difficult behavior (e.g., model-based learning).
Leor M, Hackel +2 more
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1997
Abstract This chapter reviews the primate research literature on primate culture and social learning mechanisms and strategies. The chapter begins with an historical account of primate cultures, most notably those of chimpanzees but also orangutans, capuchins, and Japanese macaques.
Michael Tomasello, Josep Call
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Abstract This chapter reviews the primate research literature on primate culture and social learning mechanisms and strategies. The chapter begins with an historical account of primate cultures, most notably those of chimpanzees but also orangutans, capuchins, and Japanese macaques.
Michael Tomasello, Josep Call
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Robotics and Autonomous Systems, 1997
This paper discusses the challenges of learning to behave socially in the dynamic, noisy, situated and embodied mobile multi-robot domain. Using the methodology for synthesizing basis behaviors as a substrate for generating a large repertoire of higher-level group interactions, in this paper we describe how, given the substrate, greedy agents can learn
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This paper discusses the challenges of learning to behave socially in the dynamic, noisy, situated and embodied mobile multi-robot domain. Using the methodology for synthesizing basis behaviors as a substrate for generating a large repertoire of higher-level group interactions, in this paper we describe how, given the substrate, greedy agents can learn
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J. Artif. Soc. Soc. Simul., 2001
One of the cognitive processes responsible for social propagation is social learning, broadly meant as the process by means of which agents' acquisition of new information is caused or favoured by their being exposed to one another in a common environment.
Conte R, Paolucci M
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One of the cognitive processes responsible for social propagation is social learning, broadly meant as the process by means of which agents' acquisition of new information is caused or favoured by their being exposed to one another in a common environment.
Conte R, Paolucci M
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2009
Social Web sites include social networking sites and social media sites. They make it possible for people to share user-created contents online and to interact and stay connected with their online people networks. The social features of social Web sites, appropriately adapted, can help turn e-learning into social e-learning and make e-learning ...
Won Kim 0001, Ok-Ran Jeong
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Social Web sites include social networking sites and social media sites. They make it possible for people to share user-created contents online and to interact and stay connected with their online people networks. The social features of social Web sites, appropriately adapted, can help turn e-learning into social e-learning and make e-learning ...
Won Kim 0001, Ok-Ran Jeong
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Social Learning and Social Entrepreneurship Education
Academy of Management Learning & Education, 2012The complexities and uncertainties of social entrepreneurs' worlds require them to juggle social and business aims. Using social theories of learning, we provide a deeper understanding of learning within social entrepreneurship education. Programs aimed to develop reflective thinking and communities of practice to equip social entrepreneurs for their ...
Howorth, Carole +2 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2015
My dissertation research focuses on the application of hierarchical learning and heuristics based on social signals to solve challenges inherent to enabling human-robot collaboration. I approach this problem through advancing the state of the art in building hierarchical task representations, multi-agent task-level planning, and ...
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My dissertation research focuses on the application of hierarchical learning and heuristics based on social signals to solve challenges inherent to enabling human-robot collaboration. I approach this problem through advancing the state of the art in building hierarchical task representations, multi-agent task-level planning, and ...
openaire +1 more source