Delving Beyond Basic Cognition

Computational Models of Decision Making

Traditional cognitive models often rely on heuristics—mental shortcuts—to explain human decisions. However, advanced research incorporates computational models like reinforcement learning to simulate decision-making processes with greater realism.

These models utilize algorithms that learn from feedback, mimicking how humans adapt their strategies over time. The simulation allows you to adjust parameters such as reward functions and exploration rates to observe the impact on simulated agent behavior.

Q(s, a) = rt * (s + αa) - kd*|s-s_prev|

Neural Networks and Cognitive Architecture

Artificial neural networks are increasingly used to model cognitive processes. Specifically, recurrent neural networks (RNNs) can capture temporal dependencies crucial for understanding memory and learning.

Integrating these networks with broader cognitive architectures—systems that combine multiple cognitive functions—provides a more holistic approach to simulating human thought.

∂J/∂w = η * σ(z) * (1-σ(z))

Integrated Information Theory (IIT)

IIT proposes that consciousness arises from the amount of integrated information within a system. This means any complex system, including potentially a simulated brain, could possess some level of awareness.

The simulation allows you to manipulate the interconnectedness and complexity of the virtual environment to observe its effect on simulated ‘consciousness’ – though it is important to note this is not an assessment of actual consciousness.

Bayesian Cognitive Models

Bayesian models represent cognitive processes as probabilistic inferences, where the mind updates its beliefs based on new evidence. These models are particularly useful for understanding perception and learning.

The simulation allows you to explore how different prior probabilities and noise levels affect the simulated agent’s ability to accurately perceive and learn from its environment.

P(A|B) = [P(B|A) * P(A)] / P(B)

Frequently asked questions

Try it live

Everything above runs in your browser — open SPH Fluid and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.