Symposium on Problem Solving (PRCE 277)
Saturday, Nov 8.
| 8:00 am |
Continental breakfast (prce 277) |
| 8:45 am |
Welcome and Introduction: Rob Goldstone |
General
| 9:00 |
Stellan Ohlsson
Structured Representation, Layered
Processing, Memory Retrieval and Affordances: All the Stuff You
Need to Get to Heuristic Search |
| 9:30 |
Niels Taatgen
Minimal control: problem solving in the real
world |
| 10:00 |
Coffee |
Education (1)
| 10:30 |
Miriam Bassok
Multiplication-format bias in algebraic
modeling |
| 11:00 |
Ulrike Stege
Recursive problem solving strategies |
| 11:30 |
Ken Koedinger
What lurks beneath the surface: perceptual and
conceptual prerequisites for the learning of complex problem solving |
| 12:00 |
Lunch |
Optimizations, constraints, and search (1)
| 1:30 |
Iris van Rooij
What makes a problem hard (or easy)? A
computational perspective |
| 2:00 |
Todd Wareham
On the Computational Complexity of Analogy-Based
Models of Problem Solving: Implications and Opportunities |
| 2:30 |
Tom Ormerod
Satisficing and optimizing in spatial
problem-solving |
| 3:00 |
Coffee |
Decision making and causality
| 3:30 |
York Hagmayer
Causal reasoning in problem solving |
| 4:00 |
Steven Sloman
Causality, decision making and problem solving |
| 4:30 |
Laurel Evans
The Law of Large Numbers in Sampling-based
Choice: Greater Sample Size Leads to Lower Decision Thresholds |
| 5:00 |
Michael D. Lee
Heuristic models of human performance on
bandit problems |
| 7:00 |
Dinner |
Sunday, Nov 9.
| 8:00 |
Continental breakfast (PRCE 277) |
Insight
| 9:00 |
Guenther Knoblich
Should (insight) problem solving go neuro? |
| 9:30 |
James N. MacGregor
Rebus, RAT and restructuring:
Relationships among candidate insight problems |
Education (2)
| 10:00 |
Bethany Rittle-Johnson
Mathematical problem solving:
Establishing a bridge between cognitive science and education |
| 10:30 |
Brian Ross
Human problem solving; Influences of memory and
conceptual organization |
| 11:00 |
David Landy
A perceptual-motor account of formal notational
reasoning |
| 11:30 |
Posters and coffee |
| 1:00 |
Lunch |
Optimizations, constraints, and search
| 2:30 |
Walter G. Kropatsch
How to find Good, Optimal and Robust TSP
solutions? |
| 3:00 |
Matthew Dry
Towards a hierarchical neighbor
clustering model of human performance on the traveling salesperson
problem. |
| 3:30 |
Zygmunt Pizlo
Solving the Traveling Salesman Problem in two
and three dimensions |
| 4:00 |
Discussion |
| 6:00 |
Dinner |
Posters
Belenky, D.M., & Nokes, T.J.
Use of Metacognitive Prompts and Manipulatives Promotes Efficient and Innovative Learning.
Marc J Buehner
Causality and the perception of time
Joseph Catrambone
TSP in 3D
Yun Chu & Edward P. Chronicle
Lookahead and Feeling-of-Warmth in Insight Problem Solving
Coral J. Dando
Is cost-benefit analysis possible for complex cognition? The case of investigative interviewing.
Katherine Gunion
Curing Recursion Aversion
Percival Matthews
In Search of Transfer: Do Concrete Symbols Sometimes Make the Best Foundation?
Jennifer Wiley, Patrick Cushen & Andrew Jarosz
When three heads are better than one: Effects of collaboration and mixed expertise on effective problem solving.
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