Robert Sawyer

The interdisciplinary field of the learning sciences encompasses educational psychology, cognitive science, computer science, and anthropology, among other disciplines. The Cambridge Handbook of the Learning Sciences, first published in 2006, is the definitive introduction to this innovative approach to teaching, learning, and educational technology. In this significantly revised third edition, leading scholars incorporate the latest research to provide seminal overviews of the field. This research is essential in developing effective innovations that enhance student learning - including how to write textbooks, design educational software, prepare effective teachers, and organize classrooms. The chapters illustrate the importance of creating productive learning environments both inside and outside school, including after school clubs, libraries, and museums. The Handbook has proven to be an essential resource for graduate students, researchers, consultants, software designers, and policy makers on a global scale.

Can we understand important social issues by studying individual personalities and decisions? Or are societies somehow more than the people in them? Sociologists have long believed that psychology can't explain what happens when people work together in complex modern societies. In contrast, most psychologists and economists believe that if we have an accurate theory of how individuals make choices and act on them, we can explain pretty much everything about social life. Social Emergence takes a new approach to these longstanding questions. Sawyer argues that societies are complex dynamical systems, and that the best way to resolve these debates is by developing the concept of emergence, focusing on multiple levels of analysis - individuals, interactions, and groups - and with a dynamic focus on how social group phenomena emerge from communication processes among individual members. This book makes a unique contribution not only to complex systems research but also to social theory.

Consciousness and experience, William G. Lycan. Cambridge, MA: MIT Press, 1996. ISBN 0–262–12197–2 (hc)Mind as motion: explorations in the dynamics of cognition, Robert Port & Timothy Van Gelder (Eds). Cambridge, MA: MIT/Bradford, 1995. ISBN 0–262–16150–8Perception, Kathleen Akins (Ed.). New York: Oxford University Press, 1996. ISBN 0–19–508461 (hbk); 0–19–508462–4 (pbk)Context and consciousness, B. Nardi (Ed.). Cambridge, MA: MIT Press, 1996. ISBN: 0–262–14058–6Catching ourselves in the act, Horst Hendriks‐Jansen. Cambridge, MA: MIT Press, 1996. ISBN 0–262–08246–2The search for mind. A new foundation for cognitive science, Sean O'Nuallain. Norwood, NJ: Ablex, 1995Mindblindness: an essay on autism and theory of mind, Simon Baron‐Cohen. Cambridge, MA: MIT Press, 1995. ISBN 0–262–02384–9.

This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author’s conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems. Key Words: emergence • mechanism • computer simulation • methodological individualism • social realism.

This paper is an extended exploration of Mead's phrase the emergence of the novel. I describe and characterize emergent systems-complex dynamical systems that display behavior that cannot be predicted from a full and complete description of the component units of the system. Emergence has become an influential concept in contemporary cognitive science [A. Clark Being there, Cambridge: MIT Press], complexity theory [W. Bechtel & R.C. Richardson Discovering complexity, Princeton, NJ: Princeton University Press], artificial life [R.A. Brooks & P. Maes Artificial life IV, Cambridge: MIT Press; C.G. Langton Artificial life III, Reading, MA: Addison-Wesley; C.G. Langton et al. Artificial life II, Reading, MA: Addison-Wesley), and robotics [S. Forrest Emergent computation, Cambridge: MIT Press]. I propose that novelty is a necessary property of emergent systems, and I'll explore a specific kind of emergent system: an improvisational theater ensemble. This is an example of emergence in a small social group, which I call collaborative emergence to emphasize several important contrasts with other complex systems that manifest emergence, such as connectionist networks and Alife simulations

Jens Greve has accurately summarized nonreductive individualism (NRI) and has made an important contribution to an ongoing discussion concerning individualism, reductionism, and emergentism. Greve’s primary criticism is of my account of downward causation, and he cites Kim’s critique of Fodor by analogy. I argue that my original paper already addressed Kim’s critique, by drawing on other philosophers of mind that Greve does not engage with, to make an argument for downward causation based on wild disjunction. Further, I argue that Greve does not successfully make the case that the issue of the autonomy of the mental level is distinct from the autonomy of the social level. As empirical examples of irreducible emergent group properties, I cite studies of improvisational theater dialogues, and studies of social networks

The author draws on arguments from contemporary philosophy of mind to provide an argument for sociological collectivism. This argument for nonreductive individualism accepts that only individuals exist but rejects methodological individualism. In Part I, the author presents the argument for nonreductive individualism by working through the implications of supervenience, multiple realizability, and wild disjunction in some detail. In Part II, he extends the argument to provide a defense for social causal laws, and this account of social causation does not require any commitment to intentionality or agency on the part of individuals.

In Part I, the author argued for nonreductive individualism (NRI), an account of the individual-collective relation that is ontologically individualist yet rejects methodological individualism. However, because NRI is ontologically individualist, social entities and properties would seem to be only analytic constructs, and if so, they would seem to be epiphenomenal, since only real things can have causal power. In general, a nonreductionist account is a relatively weak defense of sociological explanation if it cannot provide an account of how social properties can participate in causal relations. In this article, the author extends NRI to address this weakness and provides an account of social causation that he refers to as supervenient causation. Key Words: individualism • collectivism • social realism • social causation.

I explore a type of computational social simulation known as artificial societies. Artificial society simulations are dynamic models of real-world social phenomena. I explore the role that these simulations play in social explanation, by situating these simulations within contemporary philosophical work on explanation and on models. Many contemporary philosophers have argued that models provide causal explanations in science, and that models are necessary mediators between theory and data. I argue that artificial society simulations provide causal mechanistic explanations. I conclude that in their current form, these simulations are based on methodologically individualist assumptions that could limit their potential scope of social explanation.

This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author’s conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems.