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Knowledge Structure (Knowledge-Structure-Schema) Value-Schema Site-Schema Identity-Schema Parameter-Schema PiParmInfParmCulParmOrgParm-Schemata SVCPMVCPTFCP-Schemata FIGURE 11-5 Schema derived from Schema-Schema.
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By traversing the schemata hierarchy interactively, Tieresias elicited knowledge structures (mostly from Davis), rules, kinds of parameters, and the values of parameters associated with medical diagnoses from medical doctors. The resulting rules were added to the knowledge base to forward chain under uncertainty to diagnose bacterial infections of the blood, just like Mycin. The core algorithm maintains pointers into both the KB and the schema-hierarchy while traversing the schema-schema and other domain schemata. Tieresias bootstrapped diagnostic decision trees from the medical doctors to construct rules that made classi cation decisions based on the values of attributes of the entities, such as the gram-stain of blood. 11.2.2 Bootstrapping the CRA
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There are many steps between Schema-Schema and a working system. Figure 11-4 can guide the instantiation of knowledge structure schemas, which can then be instantiated into values and parameters, which in turn instantiate into Site-Schema, Identity-Schema, PiParm, and all the rest in Figure 11-5. Similarly, the CRA <Self/> isn t a system, it is a template for bootstrapping knowledge action templates, KOs, and domain heuristics, yielding diverse classes of system built up through experience. To enable such AACR evolution, CRA <Self/> includes only core ontological knowledge in the <RF/> and <User/> domains, indicating paths to skill via bootstrapping like Tieresias. There are many pitfalls, so the balance of the chapter suggests ideas to mitigate brittleness and to overcome other challenges of AACR evolution. The CR1 research prototype learned via serModels and CBR (with the patience of the researcher) a few things in <User/> and <Radio/> domains autonomously and thus in an interesting way. The CRA <Self/> takes a step very similar to Schema-Schema, functioning as a blank sheet of paper onto which engineers can write by supplying improved interpretation algorithms and then using and training the resulting AACRs. Algorithms for evolving competent AACRs from the CRA <Self/> are not complete, but algorithm strategies suggest research and engineering directions. 11.2.2.1 XML Tag as Metaschema Strategy Tieresias may apply to AACR evolution by informing the interpretation of RXML statements as Schema-Schema, which is not the typical method of interpreting XML. XML may be processed as strongly typed (e.g., using
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Schema-Schema PrintName (Atom CreateIt) Structure (PrintName InSlot) Father Schema-Schema Instances (All-Schemata-List) StringTranslation knowledge structure InstanceOf Schema-Schema Description The schema-schema describes the formal for all other schemata FIGURE 11-6 Schema-Schema without property list.
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DTDs), less rigidly typed (e.g., using XML-Schema), or weakly typed, as with many domain-speci c languages in which the XML tags serve the pragmatic purpose of simplifying information retrieval (e.g., by tagging words with domain-speci c lexical semantics). XML tag as metaschema takes some hints from the semantic web research, but with each XML <Tag/> in RXML in the role of object schema. Tags are asserted via the ontological and set-theoretic expression <Tag/>, which means that there is a set of abstractions named Tag that have the role of ontological primitive, a map to a subset of the real world. The speci cs of that map depend on where the <Tag/> is asserted and how it is grounded through experience. One may follow the Schema-Schema from the top to see how <Tag/> can act as a metaschema. Every Tieresias schema has a name the PrintName (Figure 11-6). Radio XML uses XML <Tags/> where the print-name for <Tag/> is Tag. The structure of <Tag/> may be expressed in XML syntax via BNF: <Syntax> <BNF> <Tag/> := < <Tag/> /> | < <Tag> /> * </ <Tag/> > </BNF> </Syntax> In the LISP notation of Tieresias, each schema has a name and property list, which includes a structure speci cation. The property list of SchemaSchema has Structure, Father, Instances, StringTranslation, InstanceOf, and Description (Figure 11-6). Each property has not just a value but also advice on how to deal with the property such as InSlot if the value is in the slot or CreateIt, a function that makes a LISP structure. With RXML, that which is delimited by a <Tag/> is an element of the <Set/> de ned by <Tag/>. That which is sensed has a referent in the <Physical-universe/> that is inferred by the <Self/>, for example, as a primal sketch. Comparing sensory data to primal sketches enables grounding, the state in which the primal sketch or equivalent conceptual model of the world corresponds suf ciently to the external reality inferred from the sensory data for AACR QoI enhancement. Any failure to enhance QoI constitutes <Error/> that the <Self/> seeks to drive to zero. Such QoI-reinforcement grounding of <Tag/> falls far short of the general symbol grounding problem.
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