scholarly journals ROLE OF THE STREET NETWORK IN BURGLARS' SPATIAL DECISION-MAKING*

Criminology ◽  
2017 ◽  
Vol 55 (2) ◽  
pp. 344-376 ◽  
Author(s):  
MICHAEL J. FRITH ◽  
SHANE D. JOHNSON ◽  
HANNAH M. FRY
2021 ◽  
Author(s):  
Ana Carolina Bottura de Barros ◽  
Liad J Baruchin ◽  
Marios C Panayi ◽  
Nils Nyberg ◽  
Veronika Samborska ◽  
...  

Latent learning occurs when associations are formed between stimuli in the absence of explicit reinforcement. Traditionally, latent learning in rodents has been associated with the creation internal models of space. However, increasing evidence points to roles of internal models also in non-spatial decision making. Whether the same brain structures and processes support the creation of spatially-anchored or non-spatial internal models via latent learning, is an open question. To address this question, we developed a novel operant box task that allows to test spatial and non-spatial versions of a flavour-based sensory preconditioning paradigm. We probed the role of the retrosplenial cortex, a brain area associated with spatial cognition and subjective value representation, in this task using precise, closed-loop optogenetic silencing during different task phases. We show that the retrosplenial cortex is necessary for both spatial and non-spatial latent learning in mice. We further demonstrate that the requirement of retrosplenial cortex is limited to the preconditioning phase of the task. Our results provide insight into the specific role of the retrosplenial cortex in latent learning, demonstrate that latent learning plays a general part in the creation of internal models, independent of spatial anchors, and provide a novel avenue for studying model-based decision making.


2021 ◽  
Vol 2 ◽  
pp. 1-12
Author(s):  
Martin Schmidl ◽  
Gerhard Navratil ◽  
Ioannis Giannopoulos

Abstract. During spatial decision making, the quality of the utilized data is of high importance. During navigation these decisions are crucial for being routed to the desired destination (usually going by the shortest or fastest route). Road networks, the main data source for routing, are prone to changes which can have a big impact on the computed route and therefore on travel time. For instance, routes computed using an outdated street network can result in longer travel times, in longer distance, as well in cases where the desired destination might not be anymore reachable via the computed route. Data from OpenStreetMap with different timestamps allows us to download road network snapshots from different years, i.e., from 2014 to 2020. On each of those datasets the fastest route between 500 randomly chosen point pairs in Vienna, Austria, was computed. These routes were also reconstructed on the most recent dataset for evaluation reasons. The resulting travel times, travel length as well as feasibility of the route were compared with the most recent dataset. The results provide a first assessment of temporal quality based on the currentness of a dataset.


Author(s):  
Stephen Kaplan

The study of how people make decisions has long been dominated by the economic man or rationality model. In recent years researchers have extended the study of decision making into the spatial context. Given the pervasive role of the rationality model it was not surprising to see reliance on it in this new domain as well (Golledge & Timmermans, 1987; Timmermans, this volume). There are, however, at least two reasons why one might have hoped for a broader perspective. First, given its obvious kinship to the area of environmental cognition, research on spatial decision making could have reflected the concern for cognitive structure central to the wayfinding literature. Second, the rationality model has increasingly been the subject of searching questions and criticism. Cracks have been appearing in the once near-monolithic support for this model. A number of psychologists have been quite articulate about what they see as serious deficiencies in this approach (Einhorn & Hogarth, 1985; Herrnstein & Mazur, 1987; Kruglanski & Ajzen, 1983; Simon, 1957; Wallach & Wallach, 1983). Even economists have expressed serious reservations (Bell & Kristol, 1981; Earl, 1983a; Eichner, 1983; Kuttner, 1985; Lutz, 1987). Decision theorists have not been insensitive to these concerns; many modifications have been proposed (see Jungermann, 1983, for an extensive review). If there is a consensus among them, it is far from obvious. In the absence of such a consensus, many stalwart investigators (including economists and planners) continue within the comfortable and familiar confines of the classical framework. In the discussion that follows, the term “rationality” will be used to refer to the classical rationality position that still endures in many quarters, and that still serves as a center of gravity for the multitude of dissatisfied revisionists. In its simplest form, the position can be summarized as stating that people have perfect knowledge and that they strive to maximize their gains. A most interesting analysis of the increasingly obvious inadequacy of the rationality model and of how planners are coping with this state of affairs is provided by E.R. Alexander (1984). The picture he paints is essentially one of a paradigm decline, with heroic efforts on the part of practitioners to carry on nonetheless.


Author(s):  
Peter Baudains ◽  
Shane D. Johnson

This chapter reanalyzes data concerning the 2011 riots in Greater London. The authors extended prior work in a number of directions, using variables more representative of the areas in which rioting took place, using smaller geographical units of analysis, and extending the analysis to examine the role of risky facilities. The results show support for crime pattern and social disorganization theories, as well as the precipitating influence of crowds, in explaining rioter decision-making. In addition, it is shown that different types of facilities appear to have different influences on the spatial decision-making of those engaged in the riots. In explaining these differences, the chapter draws attention to the fact that some facilities are more common on the high street and visited more spontaneously, while others require a more purposeful visit, are likely to provide more guardianship, and are more likely to have formal place management practices.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2014 ◽  
Vol 21 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Helen Pryce ◽  
Amanda Hall

Shared decision-making (SDM), a component of patient-centered care, is the process in which the clinician and patient both participate in decision-making about treatment; information is shared between the parties and both agree with the decision. Shared decision-making is appropriate for health care conditions in which there is more than one evidence-based treatment or management option that have different benefits and risks. The patient's involvement ensures that the decisions regarding treatment are sensitive to the patient's values and preferences. Audiologic rehabilitation requires substantial behavior changes on the part of patients and includes benefits to their communication as well as compromises and potential risks. This article identifies the importance of shared decision-making in audiologic rehabilitation and the changes required to implement it effectively.


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