WHAT: A conference session on General Intelligence in Embodied Agents, as
part of an IEEE Symposium on Human-Level AI

WHEN/WHERE : 15 Mon -19 Fri April 2013, Singapore

PAPER SUBMISSION DEADLINE: December 12 (12-12-12, midnight GMT), no
further extensions

Please join us in Singapore April 2013 for presentations and discussions
on general intelligence, embodiment and human-level AI!

http://wp.goertzel.org/?page_id=457

This Special Session on General Intelligence in Embodied Agents is part
of the IEEE Symposium on Computational Intelligence for Human-like
Intelligence, which in turn is part of the IEEE Symposium Series on
Computational Intelligence,

http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/index.html

(to find the Special Session on that page, scroll down till you see
"CIHLI 2013, IEEE Symposium on Computational Intelligence for Human-like
Intelligence" and click on that link).

If your research touches human-level AI but not embodiment specifically,
you may want to submit to the IEEE Symposium on Computational
Intelligence for Human-like Intelligence, of which this Special Session
is a part.

GENERAL INTELLIGENCE IN EMBODIED AGENTS

One critical aspect of human-like intelligence is the capability to
control bodies in the pursuit of a variety of human-like goals in
environments, especially environments resembling the everyday human
world. The achievement of this capability may be pursued via robotics, or
via embodying synthetic intelligent software in virtual agents in virtual
worlds such as 3D videogame-like worlds. Controlling embodied agents
carrying out a variety of complex goals in complex environments is a
difficult problem, requiring robust generalization and transfer learning
ability, and practical creativity. Confronting this problem places
various sorts of stringent requirements on the underlying computational
intelligence system, which different architectures may seek to fulfill in
different ways.

The focus of this special session is on how architectures designed with
artificial general intelligence in mind, cope with the challenges
involved in achieving goals involving controlling bodies in worlds,
especially worlds bearing some resemblance to the everyday human world.

This Special Session is open to contributions on any topic directly
related to the interfacing between artificial general intelligence
architectures and the problem of controlling bodies in worlds resembling
the everyday human world. Contributions presenting empirical or
mathematical results are very welcome; contributions describing new
approaches at an earlier stage of development are welcome as well, if the
ideas are novel and clearly presented and argued for.

Specific topics of interest include (but are definitely not limited to):

-- Symbol grounding: Learning of groundings for words and/or syntactic
and/or semantic relationships, via experience interacting with objects
and entities in a world

-- Adaptive perception: Perception of objects and events in a world, in a
manner that displays some adaptiveness, i.e. ability to perceive objects
and events qualitatively different from those for which a system was
previously trained or programmed

-- Adaptive control: Learning patterns of actuator control in a manner
that displays strong adaptiveness, i.e. ability to learn to carry out
actions qualitatively different from those for which a system was
previously trained or programmed

-- Entity identification: Identification of which groups of percepts or
atomic objects in a world are sensibly grouped together as a coherent
?entity?

-- Event identification: Identification of which groups of temporal
happenings in a world are sensibly grouped together as a coherent ?event?

-- Spatial, temporal and spatiotemporal reasoning: Inference about
objects and events in a world, in a manner that takes careful account of
the spatial and temporal relationships between them

-- Self-modeling: Building a model of the agent?s mental and physical
self based on the agent?s observations of its own interactions in the
world

-- Modeling of other Agents: modeling of other agents, in terms of their
likely behaviors in various contexts in the world

-- Theory of mind: modeling of other agents, in terms of the knowledge
and beliefs on which their actions are based

-- Autonomy: the capabilities of an embodied AGI to find itself its own
motivations and goals.

-- Sensorimotor integration: methodologies for linking perception with
action in an embodied AGI.

SPECIAL SESSION ORGANIZERS

Chair: Dr. Ben Goertzel, Novamente LLC and Hong Kong Polytechnic
University

The organizing committee comprises leading researchers with expertise in
both AGI and cognitive robotics.

Itamar Arel, University of Tennessee, Knoxville TN, USA
Joscha Bach, Humboldt University, Germany
Antonio Chella, University of Palermo, Italy
David Hanson, Hanson Robotics, Austin TX, USA
Matthew Ikle?, Adams State College, USA
Stephen Reed, TexAI, Austin TX, USA
Brandon Rohrer, Sandia Labs, New Mexico, USA
Pei Wang, Temple University, Philadelphia, USA