Planning paths to multiple targets: Memory involvement and planning heuristics in spatial problem solving
Authors: Wiener, J.M., Ehbauer, N.N. and Mallot, H.A.
Journal: Psychological Research
Volume: 73
Issue: 5
Pages: 644-658
eISSN: 1430-2772
ISSN: 0340-0727
DOI: 10.1007/s00426-008-0181-3
Abstract:For large numbers of targets, path planning is a complex and computationally expensive task. Humans, however, usually solve such tasks quickly and eYciently. We present experiments studying human path planning performance and the cognitive processes and heuristics involved. Twenty-five places were arranged on a regular grid in a large room. Participants were repeatedly asked to solve traveling salesman problems (TSP), i.e., to find the shortest closed loop connecting a start location with multiple target locations. In Experiment 1, we tested whether humans employed the nearest neighbor (NN) strategy when solving the TSP. Results showed that subjects outperform the NN-strategy, suggesting that it is not suYcient to explain human route planning behavior. As a second possible strategy we tested a hierarchical planning heuristic in Experiment 2, demonstrating that participants first plan a coarse route on the region level that is refined during navigation. To test for the relevance of spatial working memory (SWM) and spatial long-term memory (LTM) for planning performance and the planning heuristics applied, we varied the memory demands between conditions in Experiment 2. In one condition the target locations were directly marked, such that no memory was required; a second condition required participants to memorize the target locations during path planning (SWM); in a third condition, additionally, the locations of targets had to retrieved from LTM (SWM and LTM). Results showed that navigation performance decreased with increasing memory demands while the dependence on the hierarchical planning heuristic increased. © Springer-Verlag 2008.
Source: Scopus
Planning paths to multiple targets: memory involvement and planning heuristics in spatial problem solving.
Authors: Wiener, J.M., Ehbauer, N.N. and Mallot, H.A.
Journal: Psychol Res
Volume: 73
Issue: 5
Pages: 644-658
eISSN: 1430-2772
DOI: 10.1007/s00426-008-0181-3
Abstract:For large numbers of targets, path planning is a complex and computationally expensive task. Humans, however, usually solve such tasks quickly and efficiently. We present experiments studying human path planning performance and the cognitive processes and heuristics involved. Twenty-five places were arranged on a regular grid in a large room. Participants were repeatedly asked to solve traveling salesman problems (TSP), i.e., to find the shortest closed loop connecting a start location with multiple target locations. In Experiment 1, we tested whether humans employed the nearest neighbor (NN) strategy when solving the TSP. Results showed that subjects outperform the NN-strategy, suggesting that it is not sufficient to explain human route planning behavior. As a second possible strategy we tested a hierarchical planning heuristic in Experiment 2, demonstrating that participants first plan a coarse route on the region level that is refined during navigation. To test for the relevance of spatial working memory (SWM) and spatial long-term memory (LTM) for planning performance and the planning heuristics applied, we varied the memory demands between conditions in Experiment 2. In one condition the target locations were directly marked, such that no memory was required; a second condition required participants to memorize the target locations during path planning (SWM); in a third condition, additionally, the locations of targets had to retrieved from LTM (SWM and LTM). Results showed that navigation performance decreased with increasing memory demands while the dependence on the hierarchical planning heuristic increased.
Source: PubMed
Planning paths to multiple targets: memory involvement and planning heuristics in spatial problem solving
Authors: Wiener, J.M., Ehbauer, N.N. and Mallot, H.A.
Journal: PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
Volume: 73
Issue: 5
Pages: 644-658
eISSN: 1430-2772
ISSN: 0340-0727
DOI: 10.1007/s00426-008-0181-3
Source: Web of Science (Lite)
Planning paths to multiple targets: Memory involvement and planning heuristics in spatial problem solving
Authors: Wiener, J.M., Ehbauer, N.N. and Mallot, H.A.
Journal: Psychological Research
Volume: 73
Issue: 5
Pages: 644-658
DOI: 10.1007/s00426-008-0181-3
Source: Manual
Preferred by: Jan Wiener
Planning paths to multiple targets: memory involvement and planning heuristics in spatial problem solving.
Authors: Wiener, J.M., Ehbauer, N.N. and Mallot, H.A.
Journal: Psychological research
Volume: 73
Issue: 5
Pages: 644-658
eISSN: 1430-2772
ISSN: 0340-0727
DOI: 10.1007/s00426-008-0181-3
Abstract:For large numbers of targets, path planning is a complex and computationally expensive task. Humans, however, usually solve such tasks quickly and efficiently. We present experiments studying human path planning performance and the cognitive processes and heuristics involved. Twenty-five places were arranged on a regular grid in a large room. Participants were repeatedly asked to solve traveling salesman problems (TSP), i.e., to find the shortest closed loop connecting a start location with multiple target locations. In Experiment 1, we tested whether humans employed the nearest neighbor (NN) strategy when solving the TSP. Results showed that subjects outperform the NN-strategy, suggesting that it is not sufficient to explain human route planning behavior. As a second possible strategy we tested a hierarchical planning heuristic in Experiment 2, demonstrating that participants first plan a coarse route on the region level that is refined during navigation. To test for the relevance of spatial working memory (SWM) and spatial long-term memory (LTM) for planning performance and the planning heuristics applied, we varied the memory demands between conditions in Experiment 2. In one condition the target locations were directly marked, such that no memory was required; a second condition required participants to memorize the target locations during path planning (SWM); in a third condition, additionally, the locations of targets had to retrieved from LTM (SWM and LTM). Results showed that navigation performance decreased with increasing memory demands while the dependence on the hierarchical planning heuristic increased.
Source: Europe PubMed Central