DIEP workshop
With machine learning models taking over more tasks from biological intelligences, there is a renewed interest in characterising fundamental properties of intelligence itself. In this workshop, we will investigate one such aspect: analogical thinking and reasoning.
Even before artificially intelligent systems were integrated with machine learning techniques, analogies and abstractions were recognised as important aspects of intelligence. Famously, Douglas Hofstadter argued that analogical reasoning forms the core of human cognition. While this intuition is still common, identifying and interpreting reasoning in opaque machine learning systems hinders a deeper understanding. However, as modern AI systems increasingly engage with complex, open-ended tasks, their ability to engage in analogical reasoning becomes crucial for their performance and interpretability, which inspired this workshop’s theme.
We will hear different perspectives on analogies, intelligence, explore the tension between symbolic and connectionist views, and more.