Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of
indispensable factors to achieve human-level or super-human AI systems. On the other …

Abstract Purpose of Review We provide an outlook on the definitions, laboratory research,
and applications of social robots, with an aim to understand what makes a robot social—in …

Philosopher Ned Block argues in this book that there is a" joint in nature" between
perception and cognition and that by exploring the nature of that joint, one can solve …

Innovations and Challenges in Language Learning Motivation provides a cutting-edge
perspective on the latest challenges and innovations in language learning motivation …

This textbook presents a concise, accessible and engaging first introduction to deep
learning, offering a wide range of connectionist models which represent the current state-of …

To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

Learning in humans is highly embedded in social interaction: since the very early stages of
our lives, we form memories and acquire knowledge about the world from and with others …

A proposal for a fully post-phrenological neuroscience that details the evolutionary roots of
functional diversity in brain regions and networks. The computer analogy of the mind has …

Foundations of Embodied Learning advances learning, instruction, and the design of
educational technologies by rethinking the learner as an integrated system of mind, body …

Od Yogiego Berry do Henriego Poincarégo Rozdział 10: SKANDAL PROGNOZOWANIA O
niesprecyzowanej liczbie kochanków carycy Katarzyny Powrót ślepoty na Czarne Łabędzie …