School of Humanities, Education and Social Sciences

Call for papers / Submission

Anticipation and Anticipatory Systems: Humans Meet Artificial Intelligence Örebro University 10-13 June 2019

Call for abstracts: deadline 28 February 2019

Science fiction writer Isaac Asimov imagined a science of prediction called “psychohistory” which enabled the future to be induced via statistical inference from big data. But is prediction and anticipation only about data? How should anticipation and anticipatory systems be conceived in order for human decisions to be respectful of pluralism in ecosystems and noosystems? Is there a common anticipatory feature in biological structures, cultural structures, and technological ones? How does anticipation influence movements, choices, emotions and representations? Is there a difference between prediction and anticipation in the context of technosocial systems?
Ancient divinatory practices have been replaced by AI-enhanced predictive planning and anthrobotic decision-making. Inferential prediction might prove effective for some technological systems, but in open ecosystems and complex noosystems, we could benefit from a general anticipatory paradigm that would integrate a form of care about the future — forms of life, forms of desire, and forms of hope.
The concept of anticipation emerged in part from theoretical research led by biologist and mathematician Robert Rosen, who developed a way of describing how complex biological systems differ from simple machine-like systems. A mechanistic approach can in the long term reduce the creativity of life if applied to complex systems (Rosen 1987). Rosen’s view was that biological and social organisms are complex systems that create predictive internal models of themselves and their environments and modify their behaviour in response to this future-oriented form of ideation. Relational biology has reintroduced the Aristotelian final cause, making teleology theoretically acceptable. From the perspective of anticipatory practice, this means that teleology – purpose, intentions, values and goals – could be added to the predictive toolkit. Recent research in neuroscience and philosophy of mind regards perception and action as arising from the brain’s essential activity as a hypothesis-making system that continually tries to minimise errors in its predictions about sensory input — perception relies on anticipatory processes (Hohwy 2013). Andy Clark speaks of “embodied prediction” (2015).
Human agency in particular includes an ability to shape desired outcomes. Organizations and human societies continually assess their environment and engage in deliberate anticipatory action to ensure future viability. With the emergence of big data and AI-driven systems of decision, it is important to ask how much of our freedom to co-create the future is affected, preserved or enhanced (in applied science, in management, in politics, etc.). A classic computational approach might turn out to produce a future that is impoverished by design.
We see anticipation as a promising paradigm in order to foster cross-disciplinarity and a cross-fertilization of ideas among researchers. Anticipation Studies is a growing field of research still in need of unification; it could shed a new light in current debates about the ethics and sustainability of Intelligent Systems.
Anticipation is a rich concept pointing to a cluster of cognitive/emotional/cultural phenomena, in a wide range of contexts and situations. As a keyword, anticipation plays a role in computer science, literature, psychology, the neurosciences, biology, etc., in disparate contexts that have not yet been bridged: can we envision a core aspect of anticipation beyond the diversity of anticipatory practices?
The relationship between the anticipatory paradigm and artificial intelligence in particular has been up to now understudied, especially from a techno-social perspective. We will bring together ten international world-leading specialist in the field of AI and/or anticipation studies. We wish to study and connect the various aspects of anticipation while deepening our knowledge about the relationship between ecosystems, noosystems and technosystems.
While the importance of studying anticipation is progressively recognized, as exemplified by the creation of the Unesco Chair in Anticipatory Studies, it is still unclear if there are radically different forms of anticipation (in biological systems, in cultural systems, in artificial systems) — anticipation would then function as a kind of metaphor —, or if there is a universal core in all anticipatory systems. This conference is a step towards the bridging of the various aspects of anticipation and the exploration of the missing link that might connect disparate anticipatory behavior. Can there be a holistic science of anticipation? Can anticipation be the paradigm that will reinvent cybernetics from a more holistic perspective? We want to consider and understand anticipation at the core of living beings, individual or collective.

Participants and participation

We invite cross-disciplinary presentations by AI- and robotics specialists, philosophers, historians of ideas, social scientists, neuroscientists, anthropologists, STS and humanities researchers, etc. The conference will start on the 10th of June at 9 AM and end in the afternoon of the 13th of June. Participants are expected to be between 50 and 60 people. Each presentation will last 20 minutes + 10 minutes for discussion. Up to 13 keynote talks will be disseminated throughout the event. This is a single-track symposium to allow for deeper exchanges (no schedule-conflicting presentations). A collective publication will be generated on the topic of the conference.
The conference fee, if any, will be relatively moderate (between 100 € and 180 €) and include lunch and coffee breaks. We might be able to provide financial support for early career researchers. Further details will be published on these pages as the date approaches.


Please send an abstract of no less than 800 words and no more than 1500 words before the 28th of February 2019.


For further questions, please contact Dr Luis de Miranda: This is an email address

Scientific committee

Dr Luis de Miranda (Project Lead), History of Ideas and Philosophy, Örebro University
Prof Alessandro Saffiotti (Project co-Lead), Robotics and AI, Örebro University
Prof Lars Karlsson (Adviser), Artificial Intelligence and Planning, Örebro University
Prof Mats Deutschman (Adviser), Discourse Studies, Örebro University
Associate Professor Maria Ojala (Adviser), Psychology, Youth and Sustainable Futures, Örebro University
Dr Marie Gelang (Adviser), Cognitive Linguistics, Örebro University
Dr Carlos Azevedo (Adviser), Artificial Anticipation Specialist, Ericsson Research

Some references

Bell, W. (2009). ‘Foundations of Futures Studies: History, Purposes, and Knowledge.’ New Jersey: Transaction Publishers (2003 edition).

Clark, A. (2015). ‘Embodied Prediction’. Open Mind. http://open-mind.net

De Miranda, L., Ramamoorthy, R, Rovatsos, M. (2016), ‘We, Anthrobot: Learning From Human Forms of Interaction and Esprit de Corps to Develop More Plural Social Robotics. In J Seibt, M Nørskov, S.S. Andersen (eds.), What Social Robots Can and Should Do, Vol. 290, Frontiers in Artificial Intelligence and Applications.

Hohwy, J. (2013). The Predictive Mind. Oxford University Press.

James, W. (1909). A Pluralistic Universe: Hibbert Lectures at Manchester College on
the Present Situation in Philosophy. Lecture VIII. University of Nebraska Press; New
Ed (1996).

Laplace, P-S. (1814). Théorie analytique des probabilités. Paris: Ve Courcier.

Louie, A. H. (2010). Robert Rosen’s anticipatory systems. Foresight, Vol.12 No. 3
2010, pp. 18-29.

Naydler, J. (2009). The Future of the Ancient World: Essays on the History of
Consciousness. Rochester: Inner Traditions.

Newton, I. [1689] (1934). Philosophiae Naturalis Principia Mathematica, Bk. 1. (1689).

Trans. Andrew Motte (1729); rev. Florian Cajori (pp. 6-12). Berkeley: University of California Press.


Rescher, N. (1998), Predicting the Future. Albany, NY: State University of New York Press.


Rosen, R. [1985] (2012). Anticipatory Systems: Philosophical, Mathematical, and
Methodological Foundations (2nd Ed.). New York: Springer.