This paper proposes a research direction to study the development of `artificial social intelligence' of autonomous robots which should result in `individualized robot societies'. The approach is highly inspired by the `social intelligence hypothesis', derived from the investigation of primate societies, suggesting that primate intelligence originally evolved to solve social problems and was only later extended to problems outside the social domain. We suggest that it might be a general principle in the evolution of intelligence, applicable to both natural and artificial systems. Arguments are presented why the investigation of social intelligence for artifacts is not only an interesting research issue for the study of biological principles, but may be a necessary prerequisite for those scenarios in which autonomous robots are integrated into human societies, interacting and communicating both with humans and with each other. As a starting point to study experimentally the development ...

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this paper is on procedures whereby new (e.g., juvenile) members of a population could learn to communicate with the other members by observing their communicative behavior. Two apparently distinct issues are relevant to the evaluation of such learning procedures. First, the procedure must enable the new members to accurately acquire the communication system of the population, even though their observations may be limited, noisy, or otherwise misleading. Second, the learning procedure used by its new members will affect the population's communication system over time. The use of a particular procedure might result in the population's communication increasing in coordination, ultimately yielding a nearly optimally coordinated system. If a learning procedure were to satisfy both criteria, it could explain how learned communication systems are maintained over time, as well as how they are established in the first place.

This paper is meant as a basis for discussion towards a framework for cognitive architectures integrating remembering, rehearsal, language and empathy. It describes the programmatic background of our concrete work on intelligent autonomous agents. The goal is to motivate a common framework which should inspire research on `artificial cognition' for autonomous robots as well as investigations on cognition in humans or other animals. 1 Introduction Our professional background are biology and artificial intelligence and we are mainly interested in the construction of intelligent autonomous agents based on biological and psychological findings and models. This paper outlines our research framework which grew out of considerations on cognition for artifacts, although we are aware that the successful implementation of these ideas is still a future goal. Instead of reviewing intensively literature of cognitive science and escpecially of cognitive psychology we focus on some points which are ...

This paper seeks to bring together two previously separate research traditions: research on spatial orienting within the visual cueing paradigm and research into social cognition, addressing our tendency to attend in the direction that another person looks. Cueing methodologies from mainstream attention research were adapted to test the automaticity of orienting in the direction of seen gaze. Three studies manipulated the direction of gaze in a computerized face, which appeared centrally in a frontal view during a peripheral letter-discrimination task. Experiments 1 and 2 found faster discrimination of peripheral target letters on the side the computerized face gazed towards, even though the seen gaze did not predict target side, and despite participants being asked to ignore the face. This suggests reflexive covert and/or overt orienting in the direction of seen gaze, arising even when the observer has no motivation to orient in this way. Experiment 3 found faster letter discrimination on the side the computerized face gazed towards even when participants knew that target letters were four times as likely on the opposite side. This suggests that orienting can arise in the direction of seen gaze even when counter to intentions. The experiments illustrate that methods from mainstream attention research can be usefully applied to social cognition, and that studies of spatial attention may profit from considering its social function. Requests for reprints should be addressed to Jon Driver, Institute of Cognitive Neuroscience,

A reconceptualization of stigma is presented that changes the emphasis from the devaluation of an individual's identity to the process by which individuals who satisfy certain criteria come to be excluded from various kinds of social interactions. The authors propose that phenomena currently placed under the general rubric of stigma involve a set of distinct psychological systems designed by natural selection to solve specific problems associated with sociality. In particular, the authors suggest that human beings possess cognitive adaptations designed to cause them to avoid poor social exchange partners, join cooperative groups (for purposes of between-group competition and exploitation), and avoid contact with those who are differentially likely to carry communicable pathogens. The evolutionary view contributes to the current conceptualization of stigma by providing an account of the ultimate function of Stigmatization and helping to explain its consensual nature.

This paper addresses the relationship between social intelligence and narrative intelligence, with a particular emphasis on 1) the phylogenetic origins of primate (narrative) intelligence, and 2) the ontogenetic origin of autobiographical stories. The `Narrative Intelligence Hypothesis` (NIH) is introduced according to which the evolutionary origin of stories and narrativity was correlated with increasing social dynamics in primate societies, in particular the need to communicate about third-party relationships. Requirements for artificial socially intelligent story-tellers are outlined, and the issue of testing social intelligence is discussed.

This article, derived from the 1996 American Association for Artificial Intelligence Presidential Address, explores the notion of intelligence from a variety of perspectives and finds that it "are" many things. It has, for example, been interpreted in a variety of ways even within our own field, ranging from the logical view (intelligence as part of mathematical logic) to the psychological view (intelligence as an empirical phenomenon of the natural world) to a variety of others. One goal of this article is to go back to basics, reviewing the things that we, individually and collectively, have taken as given, in part because we have taken multiple different and sometimes inconsistent things for granted. I believe it will prove useful to expose the tacit assumptions, models, and metaphors that we carry around as a way of understanding both what we're about and why we sometimes seem to be at odds with one another

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... values in life --- is a central theme of the discussion. Finally, 3) the dependence of the analysis on an underlying pragmatic or action framework is highlighted: contemporary alternative frameworks for modeling development cannot satisfactorily address these issues of the social constitution of persons.