24
X-Machines for Agent-Based Modeling: FLAME Perspectives
FIGURE 2.4: Your mind designed for CogAff Project. cf. [183].
• Deliberative architecture: Systems can be defined as physical entities of symbols. Deliberative agents use symbols to symbolize scenarios and reason using pattern matching. These agents present
two problems:
– Transduction problem: How to represent real world in symbols.
– Representation/reasoning problem: Uses symbols to represent
real world.
Planning agents take symbolic representation of world, goals and
an action plan to achieve them.
• Reactive architecture: Use of behavior language like symbolic AI.
Brooks [32, 31] argued that intelligence is an emergence property of
X-Machines for Agent-Based Modeling: FLAME Perspectives
FIGURE 2.4: Your mind designed for CogAff Project. cf. [183].
• Deliberative architecture: Systems can be defined as physical entities of symbols. Deliberative agents use symbols to symbolize scenarios and reason using pattern matching. These agents present
two problems:
– Transduction problem: How to represent real world in symbols.
– Representation/reasoning problem: Uses symbols to represent
real world.
Planning agents take symbolic representation of world, goals and
an action plan to achieve them.
• Reactive architecture: Use of behavior language like symbolic AI.
Brooks [32, 31] argued that intelligence is an emergence property of