What is this session about?
It explores artificial life as a form of experimental philosophy and asks what computational experiments can contribute to philosophical inquiry.
'But this is experimental philosophy!'
A special session at
ALIFE 2026
–
· Waterloo, Canada
ALife has always had a markedly philosophical character — a fact not unnoticed by some philosophers. Daniel Dennett, for instance, saw in ALife the creation of testable thought experiments — in simulating a thing, you render explicit your assumptions. Despite this clear affinity, however, the engagement he foresaw has not materialised.
This is not for ALife's lack of interest in or relevance to traditionally philosophical content, but perhaps rather for its practicing an alternate philosophy in which the reflexive relationship between pragmatic and theoretical is constitutive. Here philosophy and science are united, with thought in turn structuring and being structured by experimental practice. In this respect, ALife may be closer to the original tradition of natural philosophy than philosophy in its more modern disciplinary forms.
"We will talk only about machines with very simple internal structures, too simple in fact to be interesting from the point of view of mechanical or electrical engineering. Interest arises, rather, when we look at these machines or vehicles as if they were animals in a natural environment. We will be tempted, then, to use psychological language in describing their behavior. And yet we know very well that there is nothing in these vehicles that we have not put in ourselves. This will be an interesting educational game."
This session invites broad reflection on the nature of this relationship between philosophy and artificial life. What role do computational experiments play in philosophical inquiry — and what role should they? How does ALife address questions that philosophy also claims — agency, autonomy, emergence, individuality — and how does its treatment differ? The conference theme itself poses one such question: what is life, and what does it mean to be life-like?
We welcome both experimental work whose philosophical motivations or implications are brought to the fore, and philosophical or theoretical work that engages directly with ALife methods and results. We are as interested in what can be said in principle as in what your work specifically reveals — and especially in work that does not sit neatly in either of these.
Questions we are interested in include:
These are examples, not boundaries — we welcome any work that engages with the philosophical dimensions of artificial life. Contributions from across ALife, philosophy, history and philosophy of science, and related fields are encouraged.
Papers should be 3–8 pages in ALIFE format. We welcome experimental, theoretical, and position papers. Accepted papers will be published in the ALIFE 2026 proceedings (MIT Press). The conference is hybrid — presentations can be given in person or online. Please select the "Artificial Life as Experimental Philosophy" special session when submitting. For full formatting guidelines, see the ALIFE 2026 Call for Papers.
It explores artificial life as a form of experimental philosophy and asks what computational experiments can contribute to philosophical inquiry.
We welcome experimental, theoretical, and position papers. We are as interested in what can be said in principle as in what your work specifically reveals — and especially in work that does not sit neatly in either of these.
Submission guidelines are on the ALIFE 2026 CFP page. Papers should be submitted through Linklings.
The submission deadline is .
Philosophy & Foundations
Experimental Work with Philosophical Stakes
University of Sydney
PhD candidate working on minimal cognition and the evolution of mind. Driven by the Spinozan conviction that the mind, as something which has come into being, must be understood through the processes that produce it — whether evolution or engineering. Currently serves as representative on the ISAL board for the Emerging Researchers in Artificial Life.
University of Sussex
Complex adaptive systems scientist whose research focuses on broad-level principles of cognition both in silico and in vivo, with interests in challenging intuitive assumptions about animacy and agency, information-theoretic frameworks, and the philosophical implications of the Free Energy Principle. He has organised several workshops at the intersection of philosophy and artificial life.