The Symposium - Research papers

May 19, 2026 PhilSci-Archive

Immersive Imagination Revolutionizes Thought Experiments

Researchers have found that when people engage with thought experiments, a type of hypothetical scenario used to explore complex ideas, their imagination plays a crucial role in shaping their understanding of the experiment. By participating in these experiments, people can become more invested in the outcome and make more informed judgments about the ideas being explored. This participation can also help to reveal potential flaws in the experiment and expose underlying tensions in the theory. The researchers argue that this participatory aspect of thought experiments is not just about recreating a hypothetical scenario, but about creating a shared space for discussion and debate, where people can test and refine their ideas together.

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May 19, 2026 PhilSci-Archive

Ambrose Paved Way for Quine's Critique

A new study reveals that a philosopher named Alice Ambrose wrote about some big ideas in logic and language over 80 years ago, long before they were widely accepted by other philosophers. Ambrose's early work actually predicted some of the criticisms of these ideas that were later made by a famous philosopher named W.V. Quine. In particular, Ambrose recognized the problem of treating logical rules as arbitrary conventions, and the difficulty of defining words in a way that avoids infinite loops. Her insights were even ahead of some of Quine's own major contributions to the field, making her a pioneering figure in the history of philosophy.

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May 19, 2026 PhilSci-Archive

Philosophy of Science Gets a New Framework

Scientists have long debated what makes something a "natural kind" - a category like "bird" or "water" that can be defined and studied. A new theory suggests that natural kinds aren't unified by a single definition, but rather by a shared goal: to make classifications that can be used across different contexts and fields of study. This approach, called "refined pluralism," argues that natural kinds are more like tools that help scientists communicate and build on each other's work, rather than a fixed set of categories. By embracing this approach, scientists can create a more flexible and effective way of classifying the world around us.

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May 19, 2026 PhilPapers

LLMs Pose New Challenges for Theorists

New research reveals that relying on artificial intelligence to generate ideas can actually change the way we think and write. In theoretical research, where ideas are often tested and verified, relying on AI can make it harder to distinguish between a well-written argument and a genuine one. A text may look convincing because it's well-structured and precise, but that doesn't necessarily mean it's valid. This can lead to a situation where ideas are presented as fact without being properly tested or verified, which can be problematic in academic and intellectual pursuits.

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May 19, 2026 PhilPapers

New Framework for Intelligence Emerges

A new study has shed light on what truly makes us intelligent, challenging the way we define intelligence in both humans and artificial intelligence. The researchers argue that intelligence is not just about being good at solving problems or achieving goals, but rather about being able to create and improve internal mental structures that allow us to think critically and make predictions. This "explanatory adaptation" capacity is what sets intelligent beings apart from those that simply adapt or learn through experience. The study's framework provides a new understanding of intelligence, linking it to our ability to think physically and make sense of the world, and distinguishes it from ordinary forms of adaptation.

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May 16, 2026 PhilSci-Archive

Reevaluating Life's Ties to Nature

Scientists have long studied the connection between living things and their surroundings, but they haven't fully explored how this idea has evolved over time and what it's based on. A new study aims to fill this gap by examining the history and philosophy behind the concept of how organisms interact with their environment. By looking at the development of biological theories and practices, researchers hope to gain a deeper understanding of how scientists think about the relationship between living things and their world.

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May 16, 2026 PhilSci-Archive

AI's Impact on Scientific Integrity

Scientists are now using AI to help with research, but as it becomes more advanced, it raises big questions about the future of science. Will AI make science better or worse? Will it make decisions that are fair and trustworthy? The answer is not clear, and experts are worried that if AI is used too much, it could lead to bad science that affects people's lives. The problem is that AI is changing the way science is done, and it's not just about the science itself, but also about how it's used in the world. If AI is used in a way that's not transparent or accountable, it could lead to problems that go beyond just science.

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May 16, 2026 PhilSci-Archive

Unpacking the Biology of Communication

New research is challenging the way scientists think about "communication" in biology and cognitive science. Many researchers in these fields are using the term to describe a wide range of biological processes, from the interactions between single cells to the way animals and computers communicate. However, the role of "communication" in these fields has not been thoroughly examined by philosophers, and some researchers are proposing new approaches that integrate insights from different areas of biology using the concepts of "information" and "communication". To better understand the implications of this term, the researchers analyzed over 1 million scientific articles and found that the meaning of "communication" varies widely depending on the context, raising questions about how we should think about biological phenomena.

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May 16, 2026 PhilPapers

AI's Double-Edged Impact on Medicine

New AI technology in medicine is changing the way doctors understand and treat patients, but it's also raising important questions about how it's being used. The new approach considers three main ways to understand illness: the medical facts, the patient's personal experience, and the social role of being sick. While AI can make medical knowledge more transparent and accurate, it can also make it harder for doctors to understand patients' feelings and experiences. This new framework for thinking about AI's impact on medicine aims to help us better understand the benefits and drawbacks of using AI in healthcare, and will serve as a starting point for future research into its specific uses.

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May 16, 2026 PhilPapers

Knowledge Key to Social Coordination

New research suggests that knowledge is a key factor in how we coordinate our beliefs with others, making it easier to agree on the truth. Unlike weaker forms of belief, knowledge is resistant to being swayed by opposing views, which makes it a crucial component in social interactions. This is because our brains have a system that checks our beliefs to ensure they are based on knowledge, and revises them if they're not. By recognizing the importance of knowledge in this process, researchers can better understand how we work together to arrive at a shared understanding of reality.

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