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Chapter 19


                              INFANOID

                              A Babybot that Explores the Social Environment



                              Hideki Kozima
                              Communications Research Laboratory


                              Abstract   We are building an infant-like robot, Infanoid, to investigate the underlying
                                         mechanisms of social intelligence that will allow it to communicate with human
                                         beings and participate in human social activities. We propose an ontogenetic
                                         model of social intelligence, which is being implemented in Infanoid:how the
                                         robot acquires communicative behavior through interaction with the social en-
                                         vironment, especially with human caregivers. The model has three stages: (1)
                                         the acquisition of intentionality, which enables the robot to make use of certain
                                         methods for obtaining goals, (2) identification with others, which enables it to
                                         indirectly experience others’ behavior, and (3) social communication,in which
                                         the robot understands others’ behavior by ascribing it the intention that best ex-
                                         plains the behavior.


                              1.     Introduction
                                Imagine a robot that can understand and produce a complete repertoire of
                              human communicative behavior, such as gestures and language. However,
                              when this robot encounters novel behavior, it fails to understand it. Or, if
                              the robot encounters a novel situation where any behavior in its repertoire does
                              not work at all, it gets stuck. As long as the robot is preprogrammed accord-
                              ing to a blueprint, it is best to take a design stance, instead of a intentional
                              stance, in trying to understand its behavior [5]. For instance, it would be diffi-
                              cult to engage the robot in an intentional activity of speech acts, e.g., making
                              a promise.
                                Now imagine a robot that has learned and is still learning human commu-
                              nicative behavior. Because the robot’s intelligence has no blueprint and its
                              repertoire is incomplete and open to extensions and modifications, taking a de-
                              sign stance is no longer necessary. To some degree, the robot would be able to
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