posted by user: crealectics || 3762 views || tracked by 9 users: [display]

CREA 2019 : Anticipation and Anticipatory Systems: Humans Meet Artificial Intelligence

FacebookTwitterLinkedInGoogle

Link: https://www.oru.se/english/schools/humanities-education-and-social-sciences/conferences/anticipation2019/
 
When Jun 10, 2019 - Jun 10, 2019
Where Sweden
Submission Deadline Feb 28, 2019
Categories    anticipation   artificial intelligence   philosophy
 

Call For Papers

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Ancient divinatory practices have been replaced by AI-enhanced predictive planning and anthrobotic decision-making.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.

Related Resources

CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
ECAI 2024   27th European Conference on Artificial Intelligence
CL-LLRPHM 2024   Special Issue of the Computational Linguistics journal on Language Learning, Representation, and Processing in Humans and Machines
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
ISCAI 2024   2024 3rd International Symposium on Computing and Artificial Intelligence
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
IAAI 2024   Innovative Applications of Artificial Intelligence
IEEE ICA 2022   The 6th IEEE International Conference on Agents
NLE Special Issue 2024   Natural Language Engineering- Special issue on NLP Approaches for Computational Analysis of Social Media Texts for Online Well-being and Social Order
AIPIDAY 2025   AI on Pi Day