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Published byMaximilian Poole Modified over 8 years ago
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AD Lab Andrews-Dalkilic Data Exploration
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AD Lab Outline Architecture What is Bioinformatics? Explore some bioinformatics problems and tools Talk about what’s in store for us
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AD Lab Architecture Knowledge Base RULES Working Memory FACTS Explanation Knowledge Acquisition INFERENCE ENGINE AGENDA UI
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AD Lab Architecture Knowledge Acquisition A (semi)automatic way to add domain knowledge (rules) without having to be a programmer We can create rules—but virtually no facility to explain how and why.
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AD Lab Architecture Factoids Rule-based Systems Rules Post Production Efficient Pattern Matching Inference Engine RHS Execution Conflict Resolution Markov Rete Bayesian
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AD Lab Architecture Post Production
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AD Lab Architecture Premises (facts) Axiomization & Inference Rules build tear apart Bertrand Russell said, ``The point of philosophy is to start with something so simple as not to seem worth stating, and to end with something so paradoxical that no one will believe it.''
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AD Lab Architecture Premises (facts) Questions: Are these facts consistent? existing systems Is this model consistent with the data? existing systems
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AD Lab Architecture Axiomization & Rules build tear apart Axiomization is meta-language over the facts Any new facts are consistent with existing facts No “new” facts can be found…
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AD Lab Architecture Premises (facts) Axiomization & Inference Rules Querying (with a new [partial] fact) What in my database makes my fact true? What is known about my fact?
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AD Lab
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Bon Voyage Summary 1 st pass—deduction (simple) 2 nd pass—fuzzy 3 rd Bayesian belief network
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