Flakey - Example  Flakey as Communicating Agent  Case Frame Representation  Concrete and Generic Actions  Effects of Actions  Inference / Reasoning.

Slides:

Advertisements

Similar presentations

Predicate Nouns and Predicate Adjectives

Advertisements

Active and Passive Voice

Artificial Intelligence Chapter 21 The Situation Calculus Biointelligence Lab School of Computer Sci. & Eng. Seoul National University.

ADVERB CLAUSES Answer questions like: When? Where? Why? Under what circumstances?

Artificial Intelligence Flakey A Communicating Agent.

 Christel Kemke 2007/08 COMP 4060 Natural Language Processing Flakey A Communicating Agent.

2.4. Use Case Modeling In O-O based IT projects, we can begin the requirements analysis phase with a Use Case Analysis A use case is a common or representative.

Dynamic Ontologies on the Web Jeff Heflin, James Hendler.

Project-Options 1.Fridge 2.Workbench with Toolbox 3.Playschool.

NLDB’04 – June 23 – 25, Salford, Manchester, United Kingdom 0/9 Semantic Tagging and Chunk- Parsing in Dynamic Modeling G. Fliedl, Ch. Kop, H.C. Mayr,

Natural Language Processing AI - Weeks 19 & 20 Natural Language Processing Lee McCluskey, room 2/07

Artificial Intelligence Flakey A Communicating Agent.

Artificial Intelligence 2005/06 Features, Gaps, Movement Questions and Passives.

Natural Language Processing Semantics 0 Flakey.

Grammar Rules. Pronouns 1.Use as a S, DO, PN, or IO 2.Personal pronouns may be adjectives 3.Relative pronouns may introduce adjective clauses.

The Eight Parts of Speech

Chapter 2: Nouns 1.  Noun: Is a word that names a person, place, thing, or idea.  Two types of nouns: ◦ Common Noun: Is a general name for a person,

8 Parts of Speech. Verb A verb asserts something about the subject of the sentence and express actions, events, or states of being. The puppy plays with.

Verbals and Verbal Phrases

Copy right 2003 Adam Pease permission to copy granted so long as slides and this notice are not altered Language to Logic Translation.

Natural Language Sections What the Speaker Speaks §Intention l S wants H to believe P §Generation l S chooses the words, W to convey the.

A Common Ground for Virtual Humans: Using an Ontology in a Natural Language Oriented Virtual Human Architecture Arno Hartholt (ICT), Thomas Russ (ISI),

Adding and Subtracting Decimals. Rules for adding or subtracting decimals: (1) Line up the numbers by the decimal point.

© 2006 SOUTH-WESTERN EDUCATIONAL PUBLISHING 11th Edition Hulbert & Miller Effective English for Colleges Chapter 1 NOUNS.

Type your question here. Type Answer Type your question here. Type Answer.

Devina DesaiF r a m e P r o b l e m What is a Frame Problem Environment for an agent is not static Identifying which things remain static in changing word.

The man bites the dog man bites the dog bites the dog the dog dog Parse Tree NP A N the man bites the dog V N NP S VP A 1. Sentence  noun-phrase verb-phrase.

Section 11.3 Features structures in the Grammar ─ Jin Wang.

The Passive Voice Ed McCorduck English 402--Grammar SUNY Cortland

N= Person Place, thing, or an idea. I listened to music the entire way to the store.

LING 388: Language and Computers Sandiway Fong Lecture 21.

1 © 2005, Daniel Schwabe. Vinicius Almendra – SWPW – ISWC05 Real-world trust policies Vinicius Almendra Daniel Schwabe Dept. of Informatics, PUC-Rio ISWC’05.

Direct Objects TaMyria Levy 9/28/15 6B/A2.  A direct object will always follow a transitive verb (a type of action verb). Direct objects can be nouns,

Eng II. any head noun and the articles and adjectives that modify that noun. Head nouns are the main nouns of phrases. (Sometimes it is easiest to find.

Nouns as Objects and Object Complements  A noun can be a direct object. It answers who or what after the verb. The community opened a neighborhood center.

 An indirect object precedes the direct object and tells to whom or for whom the action of the verb is done and who is receiving the direct object. There.

Phrase Definition review. Consists of an appositive and any modifiers the appositive has.

Using OWL 2 For Product Modeling David Leal Caesar Systems April 2009 Henson Graves Lockheed Martin Aeronautics.

Parts of Speech By: Miaya Nischelle Sample. NOUN A noun is a person place or thing.

Semantics cCS 224n / Lx 237 Tuesday, May With slides borrowed from Jason Eisner.

Subject UnitVerb UnitPredicate: 1)Direct Object 2)Indirect Object OR 3)Predicate Noun 4)Predicate Adjective Five Simple Sentence Patterns: S-AV S-AV-DOS-LV-PN.

Comparative Adjectives. Comparative adjectives How do we use them?  There are 5 rules: g Rule 1 g Rule 2 g Rule 3 g Rule 4 g Rule 5 g Summary.

Verbals and Verbal Phrases. What is a Verbal A verbal is a verb that acts as a noun, adjective, or adverb. A verbal is a verb that acts as a noun, adjective,

SWS PRACTICE Parts of Speech. NOUN The definition of a noun is: A) person, place or thing B) person, place, thing or idea C) person, place, thing, quality.

Grammar for Parents 20th October 2016 Welcome! Questions are welcome…

I ran. Is this a complete sentence? Identify the subject.

Noun Clauses MAT 601 May 18, 2007.

DGP – Sentence 1 Sentence Parts.

The Passive Voice Ed McCorduck English 402--Grammar SUNY Cortland

How to post a discussion through Moodle Room: Your course website home view Click on a Discussion.

Twenty Questions Subject:.

The boy plays in the garden Nouns in the sentence In a sentence, the nouns are used as the subject of the sentence The boy plays in the.

©2004 Pearson Education, Inc., publishing as Longman Publishers.

Adjectives and Predicate Adjectives 23

PREPOSITIONAL PHRASES

Noun: Owner’s Manual Congratulations on your wise purchase of a NOUN. Your NOUN may be used to fit into the following frame: The____________. Your NOUN.

Twenty Questions Subject:.

Twenty Questions Subject:.

Direct Objects & Indirect Objects

Rearranging formula: Is

_______knows the parts of speech!

_______knows the parts of speech!

Twenty Questions Subject:.

Twenty Questions Subject:.

Twenty Questions Subject:.

Twenty Questions Subject:.

Twenty Questions Subject:.

Twenty Questions Subject:.

Twenty Questions Subject:.

Presentation transcript:

Flakey - Example  Flakey as Communicating Agent  Case Frame Representation  Concrete and Generic Actions  Effects of Actions  Inference / Reasoning  Two Types of Questions

"Flakey, bring this file to Karen." listener verb determiner noun preposition noun V NP PP NounPhrase PrepositionalPhrase head direct object indirect object agent action patiens recipient Flakey as Communicating Agent

Case Frames for Representing NL "Flakey, bring this file to Karen.” verb NounPhrase PPhrase head direct object indirect object case frame action: bringheadverb patiens: this filedirect object recipient: to Karen indirect object manner: now modifier- added-

Mapping Case Frames to Actions case frame agent:Flakey action: bringhead patiens: this filedirect object recip.: to Karen indirect object robot action precondition: have (Flakey, file1) action: bring (Flakey, file1, Karen) effect: not (have (Flakey, file1)) and have (Karen, file1)

Concrete and Generic Actions I robot concrete action (instance of action) precondition: have (Flakey, file1) action: bring (Flakey, file1, Karen) effect: not (have (Flakey, file1)) and have (Karen, file1) robot generic action (concept in KB) precondition: have (agent, object) action: bring (agent, object, recipient) effect: not (have (agent, object)) and (have (recipient, object))

Concrete and Generic Actions II generic action: bring (agent, object, recipient) precondition: have (agent, object) effect: not (have (agent, object)) and (have (recipient, object)) instance of action: bring (Flakey, file1, Karen) precondition: have (Flakey, file1) effect: not (have (Flakey, file1)) and have (Karen, file1) You may add objects as features to action-frame.

Effects of Actions instance of action: bring (Flakey, file1, Karen) precondition: have (Flakey, file1) effect: not (have (Flakey, file1)) and have (Karen, file1) effect of this action delete from KB have (Flakey, file1) add to KB have (Karen, file1) preconditions and effects are formulae describing world states, related to the‘dynamic KB’.

Flakey - Reasoning, Inference Integrate General Rules (Proper Axioms; Theory) Axiom  x  y  loc: (have(x,y)  (at(x,loc)  at(y,loc))) Reasoning / Inference have (Flakey, object)  at (Flakey, here)  at (object, here)

Flakey - Question Answering I “Flakey, where did you bring the file.” case frame action: bring patiens: file1 destination: ? Compare to stored case frames: case frame action: bring patiens: file1 destination: Karen Conclusion and answer: “I brought the file to Karen.”

Flakey - Question Answering II Q: “Flakey, where is the file.” case frame action/status: is subject: the fileidentify with file1 location: ? refers to loc of file1 Access dynamic KB (world state) Stored from effect of bring-action or pre-stored:... at (file1, Karen),... have (Karen, file1),... A: “ The file is at Karen.” or "Karen has the file."