Unified Cognitive Science Neurobiology Psychology Computer Science Linguistics Philosophy Social Sciences Experience Take all the Findings and Constraints.

Slides:



Advertisements
Similar presentations
Sociolinguistics 2 Everyday knowledge and language.
Advertisements

CSCTR Session 8 Dana Retová. group at UC Berkeley & Uni of Hawaii Nancy Chang Benjamin Bergen Jerome Feldman, … General assumption Semantic relations.
Interlanguage IL LEC. 9.
Phantom Limb Phenomena. Hand movement observation by individuals born without hands: phantom limb experience constrains visual limb perception. Funk M,
Chapter Thirteen Conclusion: Where We Go From Here.
1 Computational Vision CSCI 363, Fall 2012 Lecture 35 Perceptual Organization II.
1 Language and kids Linguistics lecture #8 November 21, 2006.
Learning linguistic structure with simple recurrent networks February 20, 2013.
Language (and Decomposition). Linguistics provides… a highly articulated “computational” (generative) theory of the mental representations of language.
Broca’s area Pars opercularis Motor cortexSomatosensory cortex Sensory associative cortex Primary Auditory cortex Wernicke’s area Visual associative cortex.
I1-[OntoSpace] Ontologies for Spatial Communication John Bateman, Kerstin Fischer, Reinhard Moratz Scott Farrar, Thora Tenbrink.
Regier Model Lecture Jerome A. Feldman February 28, 2006 With help from Matt Gedigian.
Midterm 1 Wednesday next week!. Your Research Proposal Project A research proposal attempts to persuade the reader that: – The underlying question is.
References Kempen, Gerard & Harbusch, Karin (2002). Performance Grammar: A declarative definition. In: Nijholt, Anton, Theune, Mariët & Hondorp, Hendri.
Relation between Spatial Concepts and Geographic Objects.
Categories and concepts- introduction CS182/Ling109/CogSci110 Spring 2006.
Unified Cognitive Science Neurobiology Psychology Computer Science Linguistics Philosophy Social Sciences Experience Take all the Findings and Constraints.
Psych 56L/ Ling 51: Acquisition of Language Lecture 8 Phonological Development III.
NTL – Converging Constraints Basic concepts and words derive their meaning from embodied experience. Abstract and theoretical concepts derive their meaning.
Visual Cognition II Object Perception. Theories of Object Recognition Template matching models Feature matching Models Recognition-by-components Configural.
The Neural Basis of Thought and Language Midterm Review Session.
PSY 369: Psycholinguistics Some basic linguistic theory part3.
Categories and concepts- introduction
WELCOME TO THE WORLD OF FUZZY SYSTEMS. DEFINITION Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept.
35 years of Cognitive Linguistics Session 3: Metaphor
CS 182 Sections Some languages use an absolute orientation system, e.g. 1.Guugu Yimithirr (Cape York, Queensland, Australia) 2.Hai//om (Khoisan,
Lecture 1 Introduction: Linguistic Theory and Theories
Roles of Knowledge in Cognition 1 Knowledge is often thought of as constituting particular bodies of facts, techniques, and procedures that cultures develop,
Chapter 2 Meaning as Sign. Semiology = the study of signs & symbols (also known as: the study of meaning) Language can have meaning in two ways: 1-what.
PSY 369: Psycholinguistics Language Production & Comprehension: Conversation & Dialog.
2 nd lecture.  Stages of child’s intellectual development : Birth -2 sensorimotor 2-7 preoperational 7-16 Concrete operational:7-11 Formal operational:
Abdul Rahim Ahmad MITM 613 Intelligent System Chapter 3b: Dealing with Uncertainty (Fuzzy Logic)
Language, Mind, and Brain by Ewa Dabrowska Chapter 7: Words.
NTL – Converging Constraints Basic concepts and words derive their meaning from embodied experience. Abstract and theoretical concepts derive their meaning.
Psych 56L/ Ling 51: Acquisition of Language Lecture 8 Phonological Development III.
1 Linguistics lecture #9 November 23, Overview Modularity again How visual cognition affects language How spatial cognition affects language Can.
Chapter 6: Objections to the Physical Symbol System Hypothesis.
Construal Scope effects on Imperfective vs. Perfective.
Comparing tv news programmes A framework for analysis.
Learning Science and Mathematics Concepts, Models, Representations and Talk Colleen Megowan.
Ashley H. Brock February 28 th, n Mandler, J. M. (1992). How to build a baby: II. Conceptual primitives. Psychological Review, 99, pp
Learning to read 1 Three issues for this lecture: 1.What is reading? 2.What is language? 3.What is the task facing children as they learn to read?
LOGIC AND ONTOLOGY Both logic and ontology are important areas of philosophy covering large, diverse, and active research projects. These two areas overlap.
Modelling Language Evolution Lecture 1: Introduction to Learning Simon Kirby University of Edinburgh Language Evolution & Computation Research Unit.
How Solvable Is Intelligence? A brief introduction to AI Dr. Richard Fox Department of Computer Science Northern Kentucky University.
Introduction to Embodied Construction Grammar March 4, 2003 Ben Bergen
Synthetic Experiments for Spatial Reference Systems Engineering Approaches to Cognitive Science –Andrew U. Frank –Geoinformation –TU Vienna
Cognitive Linguistics Croft&Cruse 3: Conceptualization and construal operations, pt. 2.
School of Engineering and Computer Science Victoria University of Wellington Copyright: Peter Andreae, VUW Image Recognition COMP # 18.
1 Research Question  Can a vision-based mobile robot  with limited computation and memory,  and rapidly varying camera positions,  operate autonomously.
PSY270 Michaela Porubanova. Language  a system of communication using sounds or symbols that enables us to express our feelings, thoughts, ideas, and.
FORSVARETS FORSKNINGSINSTITUTT Transformation of geographical information into linguistic sentences: Two case studies Jan Terje Bjørke.
Philosophy of Space Chris Duggan. Highlights  Physical vs. Psychological Space  Absolute vs. Relative Space  Innate vs. Learned  Euclidian vs. Non-Euclidian.
Grounded cognition. Barsalou, L. W. (2008). Annual Review of Psychology, 59, Grounded theories versus amodal representations. – Recapitulation.
1 LING 696B: Final thoughts on nonparametric methods, Overview of speech processing.
M OTION AND P OSITION. P OSITION DESCRIBES THE LOCATION OF AN OBJECT The position is the location of that place of object. You often describe the position.
Language Objective: Student will: be able to identify the structural features of language be able to explain theories of language be able to explain stages.
Section 1-4 Shifting, Reflecting, and Stretching Graphs
Figure and Ground Part 2 APLNG 597C LEJIAO WANG 03/16/2015.
VISUAL WORD RECOGNITION. What is Word Recognition? Features, letters & word interactions Interactive Activation Model Lexical and Sublexical Approach.
1 Prepared by: Laila al-Hasan. 2 language Acquisition This lecture concentrates on the following topics: Language and cognition Language acquisition Phases.
Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology Advisor : Dr. Hsu Graduate : Yu Cheng Chen Author: Michael.
CS 182 Discussion Section Leon Barrett. Announcements a3 part 2 due tomorrow, Feb. 22, 11:59pm I still have some of your quizzes Homework questions?
Language, Mind, and Brain by Ewa Dabrowska
9.012 Presentation by Alex Rakhlin March 16, 2001
with acknowledgments to Eva Mok and Joe Makin
From Molecule to Metaphor by Jerome Feldman
Language.
Thinking & Language.
Active, dynamic, interactive, system
Presentation transcript:

Unified Cognitive Science Neurobiology Psychology Computer Science Linguistics Philosophy Social Sciences Experience Take all the Findings and Constraints Seriously

What are schemas? Regularities in our perceptual, motor and cognitive systems Structure our experiences and interactions with the world. May be grounded in a specific cognitive system, but are not situation-specific in their application (can apply to many domains of experience)

Basis of Image schemas Perceptual systems Motor routines Social Cognition Image Schema properties depend on Neural circuits Interactions with the world

Image schemas Trajector / Landmark (asymmetric) The bike is near the house ? The house is near the bike Boundary / Bounded Region a bounded region has a closed boundary Topological Relations Separation, Contact, Overlap, Inclusion, Surround Orientation Vertical (up/down), Horizontal (left/right, front/back) Absolute (E, S, W, N) LM TR bounded region boundary

Similarity: Perceptual and motor systems Basic functional interactions with the world Environment Variation: Cross-linguistic variation in how schemas are used.

Cross-linguistic Variations

English

Japanese

Tamil

English ON AROUND OVER IN Bowerman & Pederson

Dutch Bowerman & Pederson AAN OM BOVEN IN OP

Chinese Bowerman & Pederson SHANG ZHOU LI

Spatial schemas TR/LM relation Boundaries, bounded region Topological relations Orientational Axes Proximal/Distal

Trajector/Landmark Schema Roles: Trajector (TR) – object being located Landmark (LM) – reference object TR and LM may share a location (at)

TR/LM -- asymmetry The cup is on the table ?The table is under the cup. The skateboard is next to the post. ?The post is next to the skateboard.

Boundary Schema Region A Region B Boundary Roles: Boundary Region A Region B

Bounded Region Roles: Boundary: closed Bounded Region Background region

Topological Relations Separation

Topological Relations Separation Contact

Topological Relations Separation Contact Coincidence:

Topological Relations Separation Contact Coincidence: - Overlap

Topological Relations Separation Contact Coincidence: - Overlap - Inclusion

Topological Relations Separation Contact Coincidence: - Overlap - Inclusion - Encircle/surround

Orientation Vertical axis -- up/down up down above below upright

Orientation Horizontal plane – Two axes:

Language and Frames of Reference There seem to be three prototypical frames of reference in language (Levinson) Intrinsic Relative Absolute

Intrinsic frame of reference front back right left

Relative frame of reference front back left?? right??

Absolute frame of reference north west south east

TR/LM and Verticality Schemas The book is under the table. up down under

Proximal/Distal Schema.

Simple vs. Complex Schemas

Container Schema Roles: Interior: bounded region Exterior Boundary C

C C TR outin TR/LM + Container

Container Schema Elaborated Complexities –more roles/specifications: Boundary properties Strength Porosity Portals

Container schema logic C x A B

Source-Path-Goal Constraints: initial = TR at Source central = TR on Path final = TR at Goal SourcePath Goal

SPG -- simple example She drove from the store to the gas station. TR = she Source = the store Goal = the gas station SourcePath Goal

SPG and Container She ran into the room. SPG. Source ↔ Container.Exterior SPG.Path ↔ Container.Portal SPG. Goal ↔ Container.Interior

PATH landmarks past across along LM

Part-Whole Schema Part Whole

semantic schema Container roles: interior exterior portal boundary Representing image schemas Interior Exterior Boundary Portal Source Path Goal Trajector These are abstractions over sensorimotor experiences. semantic schema Source-Path-Goal roles: source path goal trajector

Language and Spatial Schemas People say that they look up to some people, but look down on others because those we deem worthy of respect are somehow “above” us, and those we deem unworthy are somehow “beneath” us. But why does respect run along a vertical axis (or any spatial axis, for that matter)? Much of our language is rich with such spatial talk. Concrete actions such as a push or a lift clearly imply a vertical or horizontal motion, but so too can more abstract concepts. Metaphors: Arguments can go “back and forth,” and hopes can get “too high.”

Regier Model Lecture Jerome A. Feldman February 27, 2007 With help from Matt Gedigian

Neural Theory of Language

Language Development in Children 0-3 mo: prefers sounds in native language 3-6 mo: imitation of vowel sounds only 6-8 mo: babbling in consonant-vowel segments 8-10 mo: word comprehension, starts to lose sensitivity to consonants outside native language mo: word production (naming) mo: word combinations, relational words (verbs, adj.) mo: grammaticization, inflectional morphology 3 years – adulthood: vocab. growth, sentence-level grammar for discourse purposes

Trajector/Landmark Schema Roles: Trajector (TR) – object being located Landmark (LM) – reference object TR and LM may share a location (at)

TR/LM -- asymmetry The cup is on the table ?The table is under the cup. The skateboard is next to the post. ?The post is next to the skateboard.

Language and Frames of Reference There seem to be three prototypical frames of reference in language (Levinson) Intrinsic Relative Absolute

Basis of Image Schemas Perceptual systems Motor routines Social Cognition Image Schema properties depend on Neural circuits Interactions with the world

Image schemas Trajector / Landmark (asymmetric) The bike is near the house ? The house is near the bike Boundary / Bounded Region bounded region has a closed boundary Topological Relations Separation, Contact, Overlap, Inclusion, Surround Orientation Vertical (up/down), Horizontal Absolute (E, S, W, N) LM TR bounded region boundary

Spatial schemas TR/LM relation Boundaries, bounded region Topological relations Orientational Axes Proximal/Distal

Regier’s Model Training input: configuration of TR/LM and the correct spatial relation term Learned behavior: input TR/LM, output spatial relation Learning System abovebelowleftrightinoutonoff Input: TR LM above

Issue #1: Implicit Negatives Children usually do not get explicit negatives But we won’t know when to stop generalizing if we don’t have negative evidence Yet spatial relation terms aren’t entirely mutually exclusive The same scene can often be described with two or more spatial relation terms (e.g. above and outside) How can we make the learning problem realistic yet learnable?

Dealing with Implicit Negatives Explicit positive for above Implicit negatives for below, left, right, etc in Regier: E = ½ ∑ i,p (( t i,p – o i,p ) * β i,p ) 2, where i is the node, p is the pattern, β i,p = 1 if explicit positive, β i,p < 1 if implicit negative

Learning System dynamic relations (e.g. into) structured connectionist network (based on visual system)

Topological Relations Separation Contact Coincidence: - Overlap - Inclusion - Encircle/surround

Issue #2: Shift Invariance Backprop cannot handle shift invariance (it cannot generalize from 0011, 0110 to 1100) But the cup is on the table whether you see it right in the center or from the corner of your eyes (i.e. in different areas of the retina map) What structure can we utilize to make the input shift-invariant?

Limitations Scale Uniqueness/Plausibility Grammar Abstract Concepts Inference Representation

Demo of the Regier System on the English above

Language and Thought We know thought (our cognitive processes) constrains the way we learn and use language Does language also influence thought? Benjamin Whorf argues yes Psycholinguistics experiments have shown that linguistics categories influence thinking even in non-linguistics task Language Thought cognitive processes