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# Agent Behaviours | ||
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- Externally Directed Behaviour | ||
- Agent-Agent Interaction | ||
- Communication | ||
- Ask Questions | ||
- Answer Questions | ||
- Make Statements | ||
- React on Statements | ||
- Instruction Following | ||
- Immediate Instructions | ||
- Delayed Instructions | ||
- Periodic Instructions | ||
- Event-driven Instructions | ||
- Agent-World Interaction | ||
- Discrete Controls (function calls) | ||
- Continuous Controls (angle of rotation of a joint) | ||
- Internally Directed Behaviour | ||
- Learning | ||
- Learning New Concepts | ||
- Learning Concept Relations | ||
- Learning World Model Logic | ||
- Learning Real World Discrete Controls |
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# Agent Components/Processes | ||
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- Raw Data Processing | ||
- Text Processing | ||
- Vision | ||
- Hearing | ||
- Abstract Data Representation | ||
- World Model Representation | ||
This component models the state of the real world. | ||
- Knowledge Representation | ||
- Plan Representation | ||
- Goal Representation | ||
- Action Representation | ||
- Fuzzy Action Sequence Representation | ||
A sequence of actions might be continued differently depending on the context. So it's not a proper list, more like a weighted graph, where the weight decides on the next action to take when several options are present and context influences the weight. | ||
- Abstract Data Processing | ||
- Memory Retrieval | ||
- Context-aware Associative Concept Retrieval | ||
- Learning | ||
- Acting |