# data[].attributes.headline
Please press + and add here a post it with your questions for the discussion.

# data[].attributes.subject
Please press + and add here a post it with your questions for the discussion.

# data[].attributes.headline
multimodal understanding in human-robot interaction where bodily movement is also a critical source of information.

# data[].attributes.subject
multimodal understanding in human-robot interaction where bodily movement is also a critical source of information.

# data[].attributes.headline
artificial systems for cognitive semantics

# data[].attributes.subject
artificial systems for cognitive semantics

# data[].attributes.body
comprehension

# data[].attributes.headline
to make prediction about human behaviours

# data[].attributes.subject
to make prediction about human behaviours

# data[].attributes.headline
simulate (and understand) the human brain learning processes, synthesizing knowledge starting from world observation and experience

# data[].attributes.subject
simulate (and understand) the human brain learning processes, synthesizing knowledge starting from world observation and experience

# data[].attributes.headline
Provide a greater autonomy to robots during interaction

# data[].attributes.subject
Provide a greater autonomy to robots during interaction

# data[].attributes.headline
continual learning in a self-supervised way

# data[].attributes.subject
continual learning in a self-supervised way

# data[].attributes.headline
Deep probabilistic models could help to create abstract representation of the experiences, for example language.

# data[].attributes.subject
Deep probabilistic models could help to create abstract representation of the experiences, for example language.

# data[].attributes.headline
the personalization of behavior and adaptation to each partner

# data[].attributes.subject
the personalization of behavior and adaptation to each partner

# data[].attributes.headline
to creating and training learning models that will be the cognitive mind of the robot as well as detecting errors and fix them.

# data[].attributes.subject
to creating and training learning models that will be the cognitive mind of the robot as well as detecting errors and fix them.

# data[].attributes.body
to creating and training learning models that will be the cognitive mind of the robot as well as detecting errors and fix them.

# data[].attributes.body
Being able to act on the basis of past experience and contingent sensory input (including proprioception)

# data[].attributes.headline
ML/DL should always be considered one of the tools in a vast toolbox and not regarded as the definitive answer to artificial intelligence

# data[].attributes.subject
ML/DL should always be considered one of the tools in a vast toolbox and not regarded as the definitive answer to artificial intelligence