Prof. Richard Watson discusses reimagining adaptation and Darwinism, exploring universal Darwinism beyond biology and connectionism. They tackle the dichotomy between linear thinking and vulnerable knowing, transitions in evolutionary algorithms, and the transformative power of knowing and being known.
Reimagining adaptation beyond Darwinism through learning processes.
Exploring subjectivity's role in scientific evolution discussions.
Challenging traditional notions by emphasizing non-linear relationships in evolutionary processes.
Deep dives
Evolutionary Units and Individual Units in Relation to the Body and Agency
The podcast delves into the concept of evolutionary units and individual units in relation to defining the individual and the body. Exploring evolutionary and cognitive principles, the dialogue between Andrea and Richard Watson sheds light on these concepts. They discuss the definitions of the individual and body, emphasizing the role of agency and evolutionary aspects in understanding cognition.
Generalized Darwinism and Alternative Adaptive Mechanisms
The discussion expands on the concept of generalized Darwinism and challenges the traditional notions of Darwinism. It explores how adaptive mechanisms go beyond natural selection to include learning processes. It highlights examples where adaptation occurs through learning without the need for random variation and selection, indicating the existence of multiple adaptive processes in different systems.
Subjectivity, Cooperation, and Non-Linear Relationships in Evolutionary Perspectives
The conversation delves into the importance of subjectivity in scientific evolution discussions. It questions the relationship between competition, cooperation, and adaptation, pointing out the complexities of these dynamics in organisms. The podcast explores how systems evolve without rigid frameworks of competition, emphasizing the role of non-linear relationships and subjective influences in evolutionary processes.
Evolutionary Transitions and Natural Selection
The speaker challenges the traditional understanding of evolution by natural selection, arguing that Darwin's explanation falls short in explaining the complexity seen in biological evolution. By exploring transitions in individuality, from basic entities to larger wholes, the speaker suggests that natural selection is insufficient to account for the transformative changes in biological complexity. This perspective delves into the necessity of relationships evolving beyond competitive exclusion to drive biological complexity.
Creation through Love and Relating
The conversation shifts towards a reflection on creation through love and relating, contrasting the notion of persistence equating existence with the idea that what relates, creates. Emphasizing the importance of relationships and harmonious interactions at different organizational levels, the dialogue explores how resonating with others leads to transformative changes. The discussion touches on the dynamic nature of existence and the complementary yet unique aspects of interactions, highlighting the intrinsic connection between entities in the process of creation.
This is a way-making research conversation with Prof. Richard A. Watson of the University of Southhampton (Institute for Life Sciences/ Department of Computer Science, Agents, Interaction and Complexity group). You can watch the video here. We discuss the traditional ideas of adaptation and a Richard Dawkins style approach to Darwinism and then how this might be reimagined, as Richard Watson is doing in his work. We also discuss what it means to be an individual . Are love and logic opposites? How might we dance with a music that is both scientific and personal?
For Songs of Life: https://youtu.be/zdmY6q2ZWm8?feature=shared
Video of the Conversation, in case you want to see the moment at the end where he shows us love on the wall.
Biography of Richard Watson: "Dr Richard Watson studies evolution, learning, cognition and society and their unifying algorithmic principles. He studied Artificial Intelligence and Adaptive Systems at Sussex University, then PhD Computer Science at Brandeis in Boston. His current work deepens the unification of evolution and learning - specifically, with connectionist models of learning and cognition, familiar in neural network research – to address topics such as evolvability, ecological memory, evolutionary transitions in individuality (ETIs), phenotypic plasticity, the extended evolutionary synthesis, collective intelligence and 'design'. He has also developed new computational methods for combinatorial optimisation (deep optimisation), exploiting a unification of deep learning and ‘deep evolution’ (i.e. ETIs). He is author of "Compositional evolution" (MIT Press), was featured as "one to watch in AI” in Intelligent Systems magazine, and his paper “How Can Evolution Learn” in TREE, attracted the ISAL award 2016. He is now Associate Professor at the University of Southampton."