report#7 Soar Cognitive Architecture our focus

can intelligence be programmed in soar?
how reasoning is done? forward searching,matching,retrival
what representations it can support? Production rules
is there any programming apis?
is learning possible in soar?
can we incorporate dynamic worlds
can we incorporate meta reasoning
can we simulate epistemic reasoning
can we simulate multi agent scenario
can we address classical frame problem ...using temporal dynamic probabilistic epistemic logic reasoning



Allen Newell, in his book, Unified Theories of Cognition, urges the AI and cognitive science communities to endeavor to develop unifying theories for cognition.

Cognitive behaviors of concern are:

• problem solving, decision making, and routine action
• memory, learning, and skill
• perception and motor behavior
• language
• motivation and emotion
• imagining, dreaming, daydreaming, etc.  

Newell has proposed Soar as a candidate unified theory of cognition. Soar is a collection of mutually exclusive mechanisms that combine to produce a system that has been shown to be applicable to a wide array of AI (eg: planning, control, learning) and cognitive modeling (eg:power law, reaction times) tasks.