Future Memory Research in Soar Nate Derbinsky University of Michigan.

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Presentation transcript:

Future Memory Research in Soar Nate Derbinsky University of Michigan

Outline 1.Retrospective – Episodic – Semantic 1.Next Steps – Top 3 – Episodic – Semantic 20 June 2012Soar Workshop Ann Arbor, MI2

Retrospective Episodic Memory Nuxoll (ICCM ‘04, AAAI ‘07, CSR ‘12) – Why is EpMem useful? (cognitive capabilities) – How to integrate EpMem within a cognitive architecture? Xu (AAAI ‘10) – How can an agent make use of EpMem to develop action models? Gorski (CSR ‘11) – To what degree can an agent learn to use EpMem? Derbinsky, Li (ICCBR ‘09, AAMAS ‘12, AAAI ’12ab) – What are efficient & scalable algorithms for EpMem? – To what extent are they effective and efficient across a variety of tasks over long periods of time? – To what extent do they facilitate other cognitive processes? 20 June 2012Soar Workshop Ann Arbor, MI3

Retrospective Semantic Memory Derbinsky (ICCM ‘10, AAAI ’11) – Architectural integration [Wang; ACT-R] – How to efficiently retrieve knowledge from large semantic stores? – How to effectively and efficiently bias ambiguous retrievals? Li, Derbinsky (AAAI ‘12) – To what extent does SMem facilitate other cognitive processes? 20 June 2012Soar Workshop Ann Arbor, MI4

Next Steps Top 3 Episodic 1.Diverse usage and evaluation 2.Bounded storage – explore interactions with retrievals, recognition, semantic learning, consolidation… 3.Dynamically representing, reasoning about, and learning from events Semantic 1.Diverse usage and evaluation 2.Automatic encoding – explore interactions with recognition, retrievals, episodic consolidation… 3.Building up and reasoning over hierarchical semantic knowledge 20 June 2012Soar Workshop Ann Arbor, MI5

Next Steps Episodic Memory: Architecture (1) Encoding – How to provide effective episodic capabilities for continuous modalities (e.g. visual)? Storage – How to bound episodic-memory growth while maintaining effective retrievals and support for other processes (e.g. recognition, semantic learning)? 20 June 2012Soar Workshop Ann Arbor, MI6

Next Steps Episodic Memory: Architecture (2) Retrieval – Beyond cardinality [and WMA], what are effective indicators of relevance across a variety of tasks (e.g. appraisals, LTI spread)? Efficient support? – What are effective methods to bound per-decision episodic processing (e.g. heuristic search, anytime)? Integration – Long-term spatial-visual memory (SVS) – Consolidation to semantic memory – Support for meta-cognitive processes (e.g. recognition) 20 June 2012Soar Workshop Ann Arbor, MI7

Next Steps Episodic Memory: Agents Reasoning – How does an agent learn to utilize and weight retrievals with other sources of [possibly conflicting] knowledge? Meta-knowledge about [possibly flawed] retrieval processes? – How can an agent build up, reason about, and describe “events” from primitive episodes (could be architecture)? Efficiency – What are useful types of episodic queries across a variety of tasks? Better task/cue analysis -> better heuristics/approximations! 20 June 2012Soar Workshop Ann Arbor, MI8

Next Steps Semantic Memory: Architecture (1) Encoding – What is the source of new LTIs (e.g. environmental/episodic regularities)? Storage – Is it useful to forget LTIs? 20 June 2012Soar Workshop Ann Arbor, MI9

Next Steps Semantic Memory: Architecture (2) Retrieval – Besides history of past use, what are effective indicators of relevance (e.g. context)? Efficient support? Integration – Support for meta-cognitive processes (e.g. recognition) 20 June 2012Soar Workshop Ann Arbor, MI10

Next Steps Semantic Memory: Agents Representation – What are useful representational paradigms for LTI augmentations? – To what extent are semantic concepts “grounded?” Reasoning – How does agent reasoning lead to hierarchical semantic knowledge? – What are general-purpose “inference” rule sets would be efficient and useful across a variety of tasks? Linguistic rule sets? 20 June 2012Soar Workshop Ann Arbor, MI11

Evaluation Nuggets EpMem and SMem have come a long way – Useful and efficient today! There are many opportunities for important progress in these mechanisms Coal Research takes time 20 June 2012Soar Workshop Ann Arbor, MI12