AIMC Topic: Models, Psychological

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A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.

PloS one Nov 4, 2015
A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that ...
Models, Psychological Models, Statistical Imitative Behavior Robotics Bayes Theorem Learning Goals Adult Humans Task Performance and Analysis Infant Algorithms
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Promoting Interactions Between Humans and Robots Using Robotic Emotional Behavior.

IEEE transactions on cybernetics Nov 2, 2015
The objective of a socially assistive robot is to create a close and effective interaction with a human user for the purpose of giving assistance. In particular, the social interaction, guidance, and support that a socially assistive robot can provid...
Cybernetics Humans Emotions Interpersonal Relations Robotics Self-Help Devices Models, Psychological
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Incremental Bayesian Category Learning From Natural Language.

Cognitive science Nov 2, 2015
Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words (e.g., ...
Humans Language Models, Psychological Concept Formation Language Development Learning Natural Language Processing Bayes Theorem
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A Bayesian Model of the Uncanny Valley Effect for Explaining the Effects of Therapeutic Robots in Autism Spectrum Disorder.

PloS one Sep 21, 2015
One of the core features of autism spectrum disorder (ASD) is impaired reciprocal social interaction, especially in processing emotional information. Social robots are used to encourage children with ASD to take the initiative and to interact with th...
Humans Algorithms Autism Spectrum Disorder Child Pattern Recognition, Visual Emotions Psychotherapy Robotics Models, Psychological Interpersonal Relations Bayes Theorem
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Exploiting Language Models to Classify Events from Twitter.

Computational intelligence and neuroscience Sep 14, 2015
Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics. In this paper, we propose a method to classify events from Twitter. We firstly find the distinguis...
Humans Machine Learning Social Media Natural Language Processing Information Dissemination Models, Psychological
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Deep Neural Networks with Multistate Activation Functions.

Computational intelligence and neuroscience Sep 10, 2015
We propose multistate activation functions (MSAFs) for deep neural networks (DNNs). These MSAFs are new kinds of activation functions which are capable of representing more than two states, including the N-order MSAFs and the symmetrical MSAF. DNNs w...
Entropy Humans Linear Models Neural Networks, Computer Speech Stochastic Processes Algorithms Logistic Models Models, Psychological
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Emergence of Leadership in a Group of Autonomous Robots.

PloS one Sep 4, 2015
In this paper we examine the factors contributing to the emergence of leadership in a group, and we explore the relationship between the role of the leader and the behavioural capabilities of other individuals. We use a simulation technique where a g...
Models, Psychological Smell Vision, Ocular Neural Networks, Computer Machine Learning Leadership Robotics Pattern Recognition, Automated
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Corticostriatal response selection in sentence production: Insights from neural network simulation with reservoir computing.

Brain and language Sep 1, 2015
Language production requires selection of the appropriate sentence structure to accommodate the communication goal of the speaker - the transmission of a particular meaning. Here we consider event meanings, in terms of predicates and thematic roles, ...
Neural Networks, Computer Language Learning Humans Linguistics Cerebral Cortex Primates Corpus Striatum Animals Models, Psychological Models, Neurological
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Biologically Plausible, Human-Scale Knowledge Representation.

Cognitive science Jul 14, 2015
Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony (Shastri & Ajjanagadde, ), "mesh" binding (van der Velde & de Kamps, ), and conjunctive...
Algorithms Language Cognition Semantics Models, Psychological Neural Networks, Computer Artificial Intelligence
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Overtaking method based on sand-sifter mechanism: Why do optimistic value functions find optimal solutions in multi-armed bandit problems?

Bio Systems Jul 10, 2015
A multi-armed bandit problem is a search problem on which a learning agent must select the optimal arm among multiple slot machines generating random rewards. UCB algorithm is one of the most popular methods to solve multi-armed bandit problems. It a...
Decision Making Models, Psychological Uncertainty Machine Learning Algorithms Game Theory Optimism Humans
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