Humanoid Cognitive Reasoning at TU München

Flashcards and summaries for Humanoid Cognitive Reasoning at the TU München

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Study with flashcards and summaries for the course Humanoid Cognitive Reasoning at the TU München

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What inference tasks are in Description logic?

Exemplary flashcards for Humanoid Cognitive Reasoning at the TU München on StudySmarter:

areas for structured representations?

Exemplary flashcards for Humanoid Cognitive Reasoning at the TU München on StudySmarter:

What is the vocabulary in description logic?    

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What components does a knowledge base consist of (description logic)?

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How does FOL state facts?

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What are taxonomies? and where are they used?

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What are RDF triples?

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What is required to develop a proper knowledge base?

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What does ABox contain?

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What does TBOX do?    

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What are factored representations?

Exemplary flashcards for Humanoid Cognitive Reasoning at the TU München on StudySmarter:

What is a structured representation?

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Exemplary flashcards for Humanoid Cognitive Reasoning at the TU München on StudySmarter:

Humanoid Cognitive Reasoning

What inference tasks are in Description logic?

– Subsumption: one category is a subset of another
– Classification: an object belongs to a category
– Consistency: if the membership criteria is satisfiable

Humanoid Cognitive Reasoning

areas for structured representations?

– relational databases
– first order logic
– first order probability models
– knowledge-based learning
– natural language understanding
– semantic reasoning

Humanoid Cognitive Reasoning

What is the vocabulary in description logic?    

– Concepts, to denote sets of individuals
– Roles, binary relationships between individuals

Humanoid Cognitive Reasoning

What components does a knowledge base consist of (description logic)?

– TBOX = terminology
– ABox = assertions

Humanoid Cognitive Reasoning

How does FOL state facts?

– by relating objects to categories
– by quantifying over time members

Humanoid Cognitive Reasoning

What are taxonomies? and where are they used?

Subclass relations organizes into categories.
Have been used in biology and now are very important aspect of general commonsense knowledge

Humanoid Cognitive Reasoning

What are RDF triples?

RDF Triples (S,P,O) are labeled connection between two resources:
-> S = Subject
-> P = Property (Predicate)
-> O = Object

Humanoid Cognitive Reasoning

What is required to develop a proper knowledge base?

– carefull analysis of the problem’s domain.
-> We need to choose the proper vocabulary
-> Correctly encode that reasoning engine with the knowledge-system

Humanoid Cognitive Reasoning

What does ABox contain?

– Contains named individuals in terms of the defined vocabulary

Humanoid Cognitive Reasoning

What does TBOX do?    

– Vocabulary of an application domain
– Assigns names to complex descriptions

Humanoid Cognitive Reasoning

What are factored representations?

state consist of a vector of attribute values.

-> propositional logic
-> planning
-> bayesian networks
-> machine learning

Humanoid Cognitive Reasoning

What is a structured representation?

in structured representation a state includes:
– objects, each of which may have attributes
– and relationship to other objects

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