Integration of Action, Joint Action and Learning in Robotics Cognitive Architectures
نویسندگان
چکیده
منابع مشابه
Action mirroring and action understanding in children
The past decade has experienced an increasing interest in action underestanding and children’s mirroring of others’ behavior. Behavioral investigations have focused on the development and significance of mimicry, goal prediction and imitation. Others have focused on the neural basis of action mirroring, identifying particular electrophysiological markers or related brain regions. A vivid debate...
متن کاملRelational action model learning and planning integration Relational action model learning and planning integration
Résumé : This paper addresses a relational reinforcement learning-like problem with general action-model relational learning and planning techniques. We propose an integrated system for both action model learning and action selection in the context of adaptive behavior of autonomous agents. Learning is incremental. It operates with relational representations and produces disjunctions of 1st ord...
متن کاملAction Branching Architectures for Deep Reinforcement Learning
Discrete-action algorithms have been central to numerous recent successes of deep reinforcement learning. However, applying these algorithms to high-dimensional action tasks requires tackling the combinatorial increase of the number of possible actions with the number of action dimensions. This problem is further exacerbated for continuous-action tasks that require fine control of actions via d...
متن کاملIntegrative Learning between Language and Action: A Neuro-Robotics Experiment
The current paper introduces a model for associative learning between linguistic modality and behavior modality. The model constitutes of language and behavior modules both of which are implemented with a hierarchical dynamic network model and they interact densely through hub-like neurons, the parametric biases (PB). By implementing this model to a humanoid robot in the task of multiple object...
متن کاملCognitive Modeling of Action Selection Learning
Our goal is to develop a hybrid cognitive model of how humans acquire skills on complex cognitive tasks. We are pursuing this goal by designing hybrid computational architectures for the NRL Navigation task, which requires competent sensorimotor coordination. In this paper, we describe results of directly tting human execution data on this task. We next present and then empirically compare two ...
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: Intellectica. Revue de l'Association pour la Recherche Cognitive
سال: 2016
ISSN: 0769-4113
DOI: 10.3406/intel.2016.1794