Reactivity

The reactivity of a system is its ability to respond to changes in an unpredictable environment; one of the goals of the systems discusses here is to react in real-time, in largely dynamic environments. Some systems use the notion of learning to complement reactivity, with the hope of decreasing reaction time. See also processing time and efficiency.

Use the following list to see an evaluation of any given architecture along the dimension of reactivity:

Subsumption Architecture
Heterogeneous Asynchronous Architecture (Gat)
Plan-then-compile Architecture (Theo)
Planning and Learning Architecture (Prodigy)
Modular-Integrated Architecture (ICARUS)
Adaptive Intelligent Systems (AIS)
A Basic Integrated Agent (Homer)
Situated Action & Planned Action (Teton)
Problem-Space Architecture (Soar)
Real-Time, Decision-Theoretic Architecture (RALPH-MEA)
Entropy Reduction Engine Architecture (ERE)

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