Qualitative representations : how people reason and learn about the continuous world / Kenneth D. Forbus.

Format:

Book

Author/Creator:

Forbus, Kenneth D., author.

Series:

MIT Press

Language:

English

Subjects (All):

Cognition.

Reasoning.

Space perception.

Physical Description:

1 online resource (424 pages)

Place of Publication:

Cambridge : The MIT Press, [2018]

Summary:

An argument that qualitative representations -- symbolic representations that carve continuous phenomena into meaningful units -- are central to human cognition. In this book, Kenneth Forbus proposes that qualitative representations hold the key to one of the deepest mysteries of cognitive science: how we reason and learn about the continuous phenomena surrounding us. Forbus argues that qualitative representations -- symbolic representations that carve continuous phenomena into meaningful units -- are central to human cognition. Qualitative representations provide a basis for commonsense reasoning, because they enable practical reasoning with very little data; this makes qualitative representations a useful component of natural language semantics. Qualitative representations also provide a foundation for expert reasoning in science and engineering by making explicit the broad categories of things that might happen and enabling causal models that help guide the application of more quantitative knowledge as needed. Qualitative representations are important for creating more human-like artificial intelligence systems with capabilities for spatial reasoning, vision, question answering, and understanding natural language. Forbus discusses, among other topics, basic ideas of knowledge representation and reasoning; qualitative process theory; qualitative simulation and reasoning about change; compositional modeling; qualitative spatial reasoning; and learning and conceptual change. His argument is notable both for presenting an approach to qualitative reasoning in which analogical reasoning and learning play crucial roles and for marshaling a wide variety of evidence, including the performance of AI systems. Cognitive scientists will find Forbus's account of qualitative representations illuminating; AI scientists will value Forbus's new approach to qualitative representations and the overview he offers.

Contents:

Introduction and preliminaries

Introduction

Representation

Reasoning

Analogy

Dynamics

Quantity

Relationships between quantities

Qualitative process theory

Examples using QP theory

Causality

Qualitative simulation and reasoning about change

Modeling

Analogy in dynamics

Dynamics in language

Space

Qualitative spatial reasoning: a theoretical framework

Qualitative spatial calculi

Understanding sketches and diagrams

Learning and reasoning

Learning and conceptual change

Commonsense reasoning

Expert reasoning

Summary and new directions

Summary

New directions

Bibliography

Notes

Index.

Notes:

Includes bibliographical references and index.

OCLC-licensed vendor bibliographic record.

ISBN:

0-262-34981-7

0-262-34980-9

OCLC:

1035389804