I was planning to complete the lecture by Thursday itself along with learning posts. But was working on Android stuffs for the Coursera Course which made me to do it today.
This lesson will be providing the details on a how a production systems of cognitive agents will be and how Chunking works.
###Cognitive Architecture The lesson give a nice definition of Cognitive architecture by introducing a simple definition of Cognitive agent.
Cognitive agents are agents which is like a function which maps characteristic functions to actions
Basically it a perception which is like having a action for everything.
###Levels of Cognitive architecture
Cognitive architecture can be at various levels like below
- Hardware/Implementations Levels
- Algorithm or model levels
- Task/Knowledge levels
For IBM watson these are how these levels can be interpreted
- A working Personal computer- Hardware
- Selection and decision making- Algorithm
- Answering to input clue - Knowledge
###Assumptions of Cognitive Architecture
- Should have a goal- take actions based on goal
- Live in rich and dynamic environment
- Huge Knowledge
- Symbols and Abstractions
- Flexible and behavious is dependant on environment
They keep on learning from their experience
Architecture + Content= Behaviour
###Architecture for Production Systems Deliberation which consists of reasoning, learning and memory. SOAR - does this part in production systems It has long term memory and working memory It interact with memory in three ways
- Procedural- How to do certain things like steps
- Semantic- Generalization in form of concepts and models
- Episodic- Based on events(What had u for dinner?)
###Pitcher on selectoin of next steps Based on the available data or content in memory for the event with a particular goal . Contents resides in working memory Other steps remain in long term memory Pitcher applies procedural steps and decide on the next steps based on the goal in content If the content changes it take according steps. If in case the system does not able to decide between two results from procedural it move to Episodic where it has particular set of memory result decision based on that.
###Chunking Chunking is to find a rule that will break the imparse. Then SOAR searches episodic memory and find a rule. Reasoning, learning and memory are closely connected in cognitive systems.
###Cognitive Connection SOAR architecure resembles how human solve problem for algebra and analytics. SOAR working memory is like human short term memory. Inspite of this we can’t conclude that we have a solid architecture on human cognition