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Olaf Witkowski
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Proceedings Papers
. isal, ALIFE 2021: The 2021 Conference on Artificial Life4, (July 19–23, 2021) doi: 10.1162/isal_a_00465
Abstract
PDF
Developments in cognitive science, AI, and artificial life force us to consider minds and intelligences that are different from human minds. The dominant contemporary metaphor for any kind of mind is based on an understanding of the human brain and human experience, both of which frequently presuppose a notion of self. In some disciplines, including Buddhism, contemporary philosophy of mind, and cognitive science, much debate has focused on the nature of the self, and one insight from all these domains is that while we are strongly attached to notions of stable selves, it is also possible to conceive of selves as dynamic, interconnected, and illusory. We suggest that an interdisciplinary approach, drawing on fields with well-developed models of self in relation to agency, can offer new insights. We suggest that the view of self as illusory, and awareness of this illusion, in both human and non-human minds, may augment and qualitatively change the agent's affordances, or range of possible actions.
Proceedings Papers
. isal, ALIFE 2021: The 2021 Conference on Artificial Life119, (July 19–23, 2021) doi: 10.1162/isal_a_00478
Proceedings Papers
. alife2018, ALIFE 2018: The 2018 Conference on Artificial Life1-4, (July 23–27, 2018) doi: 10.1162/isal_e_00002
Proceedings Papers
. alife2018, ALIFE 2018: The 2018 Conference on Artificial Life47-54, (July 23–27, 2018) doi: 10.1162/isal_a_00015
Abstract
PDF
Criticality is thought to be crucial for complex systems to adapt, at the boundary between regimes with different dynamics, where the system may transition from one phase to another. Numerous systems, from sandpiles to gene regulatory networks, to swarms and human brains, seem to work towards preserving a precarious balance right at their critical point. Understanding criticality therefore seems strongly related to a broad, fundamental theory for the physics of life as it could be, which still lacks a clear description of how it can arise and maintain itself in complex systems. In order to investigate this crucial question, we combine critical learning with evolutionary simulation for a population of Ising-embodied neural networks, striving to find resources distributed over a 2D environment. The results show compelling dynamics in the combination of critical learning with evolutionary computation, highlighting the exploratory nature of critical systems and the pragmatism of evolutionary algorithms. We also analyze the genotypic exploration strategy, exhibiting a tension between local and global scale adaptation.
Proceedings Papers
. alife2018, ALIFE 2018: The 2018 Conference on Artificial Lifeix-xvii, (July 23–27, 2018) doi: 10.1162/isal_e_00001
Proceedings Papers
. alife2018, ALIFE 2018: The 2018 Conference on Artificial Lifei-672, (July 23–27, 2018) doi: 10.1162/isal_a_00122
Proceedings Papers
. ecal2015, ECAL 2015: the 13th European Conference on Artificial Life357-364, (July 20–24, 2015) doi: 10.1162/978-0-262-33027-5-ch065
Proceedings Papers
. alife2014, ALIFE 14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems392-397, (July 30–August 2, 2014) doi: 10.1162/978-0-262-32621-6-ch062
Proceedings Papers
. alife2014, ALIFE 14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems302-309, (July 30–August 2, 2014) doi: 10.1162/978-0-262-32621-6-ch049
Proceedings Papers
. ecal2013, ECAL 2013: The Twelfth European Conference on Artificial Life1218-1219, (September 2–6, 2013) doi: 10.1162/978-0-262-31709-2-ch186
Proceedings Papers
. ecal2011, ECAL 2011: The 11th European Conference on Artificial Life80, (August 8–12, 2011) doi: 10.7551/978-0-262-29714-1-ch080