Lectures related to Swarm intelligence

Explores agent platforms, intelligence, and communication models in multiagent systems.

Explores Kalman filters, flocking behaviors, and decentralized control in distributed intelligent systems.

Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.

Explores the implementation of single-layer neural network controllers and the impact of sensor numbers on behavior complexity.

Emphasizes the critical role of software testing in preventing and resolving bugs during development.

Delves into constructivism, inquiry-based learning, and cognitive conflict, highlighting the importance of simulations and external support.