Topics in Cognitive Science 9 (3):694-718 (2017)

Authors
Chen Liang
University of Michigan, Ann Arbor
Abstract
One of the central issues in cognitive science is the nature of human representations. We argue that symbolic representations are essential for capturing human cognitive capabilities. We start by examining some common misconceptions found in discussions of representations and models. Next we examine evidence that symbolic representations are essential for capturing human cognitive capabilities, drawing on the analogy literature. Then we examine fundamental limitations of feature vectors and other distributed representations that, despite their recent successes on various practical problems, suggest that they are insufficient to capture many aspects of human cognition. After that, we describe the implications for cognitive architecture of our view that analogy is central, and we speculate on roles for hybrid approaches. We close with an analogy that might help bridge the gap.
Keywords Analogy  Computational modeling  Learning  Machine learning  Relational representations  Representation  Symbolic modeling
Categories (categorize this paper)
DOI 10.1111/tops.12277
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 62,363
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Perceptual Symbol Systems.Lawrence W. Barsalou - 1999 - Behavioral and Brain Sciences 22 (4):577-660.
Dual-Process Theories of Higher Cognition Advancing the Debate.Jonathan Evans & Keith E. Stanovich - 2013 - Perspectives on Psychological Science 8 (3):223-241.
Features of Similarity.Amos Tversky - 1977 - Psychological Review 84 (4):327-352.

View all 34 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Teleosemantic Modeling of Cognitive Representations.Marc Artiga - 2016 - Biology and Philosophy 31 (4):483-505.
Symbolic Versus Associative Learning.John E. Hummel - 2010 - Cognitive Science 34 (6):958-965.
In Defense of Representation.Arthur B. Markman & Eric Dietrich - 2000 - Cognitive Psychology 40 (2):138--171.
On Quantum Models of the Human Mind.Hongbin Wang & Yanlong Sun - 2014 - Topics in Cognitive Science 6 (1):98-103.

Analytics

Added to PP index
2017-06-21

Total views
27 ( #402,681 of 2,445,401 )

Recent downloads (6 months)
1 ( #457,259 of 2,445,401 )

How can I increase my downloads?

Downloads

My notes