INSTRUCTABLE SYSTEMS

dc.contributor.authorMacDonald, Bruce A.eng
dc.date.accessioned2008-02-26T22:38:21Z
dc.date.available2008-02-26T22:38:21Z
dc.date.computerscience1999-05-27eng
dc.date.issued1990-10-01eng
dc.description.abstractInstructable systems - both instructable robots and instructable agents - must acquire skills and knowledge from examples and other instructions easily given by users in factories, laboratories and offices. Both senses of "instruct" are important: command and teach. The human interface must exploit the user's natural instruction abilities and require minimal acquisition of expertise prior to teaching. It is assumed that typical users will not be expert programmers, but will be able to do the tasks they wish to teach and also show them to other humans. Inductive learning techniques are employed to generalize the teacher's examples, in a manner biased by the teacher's other instructions, and thereby form a procedural task description. Instructions can drastically reduce the example and computational complexities of learning problems without compromising learnability. Existing machine learning systems are placed in an instructable framework. Three experimental prototypes are briefly described. Two systems instruct robots: one emphasizing examples and the other emphasizing more explicit instructions. The third is an instructable, office clerk metaphor. Instructability is seen as a small, but significant step toward intelligence.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1990-408-32eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30891
dc.identifier.urihttp://hdl.handle.net/1880/45578
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleINSTRUCTABLE SYSTEMSeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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