CBI Seminar: On collective representations

These sessions were prompted by the idea, discussed during previous seminar sessions, that a group might use a collective representation to interact with the environment. For example, in a colony of ants, the pheromone trail itself, as a dynamic pattern that grows and shrinks according to the interaction of the colony with the environment, might ...

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DI Summit 2025

Join us 18 – 20 July for the for the Diverse Intelligences Summit 2025, hosted by the Global Research Centre for Diverse Intelligences at the University of St Andrews. The event aims to bring together people from diverse disciplines and academic orientations including animal cognition, artificial intelligence/machine learning, collective behaviour and developmental psychology, among others. ...

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Discussion session: What is intelligence (to you)?

Psychology Seminar Room 1 School of Psychology and Neuroscience, St Andrews, United Kingdom

Part of the AI Seminar Series, hosted by the GRCDI and led by Centre member Dr Kasim Terzić from the School of Computer Science. This in-person series kicks off in October 2025 with a group discussion session, followed by four lectures delivered by colleagues from the School of Computer Science (Dr Kasim Terzić, Dr Ruth Hoffmann ...

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Seminar: Overview and history of AI (Dr Kasim Terzić)

SMC: T205 St Mary's College, St Andrews, United Kingdom

Part of the AI Seminar Series, hosted by the GRCDI and led by Centre member Dr Kasim Terzić from the School of Computer Science. This in-person series kicks off in October 2025 with a group discussion session, followed by four lectures delivered by colleagues from the School of Computer Science (Dr Kasim Terzić, Dr Ruth Hoffmann ...

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Seminar: Symbolic reasoning (Dr Ruth Hoffmann)

SMC: T205 St Mary's College, St Andrews, United Kingdom

Talk presented by Dr Ruth Hoffmann, followed by a group discussion. Abstract: Symbolic Reasoning (or Symbolic AI) consists of the logical modelling and an exhaustive search for definite solutions to problems. Whether that is finding the solution of a sudoku, finding an optimal route for delivery vehicles or creating kidney matching chains, symbolic AI and ...

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Seminar: Reinforcement learning (Dr Nguyen Dang and Dr Phong Le)

SMC: T205 St Mary's College, St Andrews, United Kingdom

Abstract: Reinforcement learning (RL) is a machine learning paradigm in which an agent learns to make decisions by interacting with an environment to maximise cumulative reward. In recent years, RL has emerged as one of the most exciting and impactful areas of Artificial Intelligence. Its significance was underscored by the 2024 Turing Award awarded to ...

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