learning
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Advances & challenges in foundation agents
Advances & challenges in foundation agents: Section 2.1.3 – Learning space
Human learning often involves active curiosity, motivation, and emotional reinforcement, while LLM-based agents typically learn through more formalized processes.
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Advances & challenges in foundation agents
Advances & challenges in foundation agents: Section 2.1.2 – Learning across mental state components
Comparing human and artificial learning systems provides valuable insights for developing more capable, adaptive agents.
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Advances & challenges in foundation agents
Advances & challenges in foundation agents: Section 2.1.1 – A unified formulation of learning
The foundation agent’s mental state evolves by balancing three fundamental forces.
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Advances & challenges in foundation agents
Advances & challenges in foundation agents: Section 2.1 – Learning
Section 2.1 presents a unified perspective on learning.
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Advances & challenges in foundation agents
Advances & challenges in foundation agents: Introduction to Chapter 2 – Cognition
Exploring different learning and reasoning paradigms.
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Awards
Congratulations to the 23 Global MIKE Award winners for 2025!
23 outstanding organizations have been recognized for their exceptional commitment to knowledge management, innovation, learning, and value creation.
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Insights
Bruce Boyes: KM is real, interview with Ana Neves
As we move into 2026 from RealKM Magazine's 10th anniversary year in 2025, a big thank you to Ana Neves…
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Brain power
Why students struggle to use AI responsibly
Educators must do more than provide instructions – they need to engage students in responsible AI use.
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ABCs of KM
Learning by doing, knowing by serving: A knowledge operationalisation model
A knowledge operationalisation model (KOM) for higher education service-learning through experience, to increase knowledge and provide a community service.
