Some shortcomings of long-term working memory

Within the framework of their long-term working memory theory, Ericsson and Kintsch (1995) propose that experts rapidly store information in long-term memory through two mechanisms: elaboration of long-term memory patterns and schemas and use of retrieval structures. They use chess players’ memory as one of their most compelling sources of empirical evidence. In this paper, I show that evidence from chess memory, far from supporting their theory, limits its generality. Evidence from other domains reviewed by Ericsson and Kintsch, such as medical expertise, is not as strong as claimed, and sometimes contradicts the theory outright. I argue that Ericsson and Kintsch’s concept of retrieval structure conflates three different types of memory structures that possess quite different properties. One of these types of structures—generic, general-purpose retrieval structures—has a narrower use than proposed by Ericsson and Kintsch: it applies only in domains where there is a conscious, deliberate intent by individuals to improve their memory. Other mechanisms, including specific retrieval structures, exist that permit a rapid encoding into long-term memory under other circumstances

Depth, balancing, and limits of the Elo model

-Much work has been devoted to the computational complexity of games. However, they are not necessarily relevant for estimating the complexity in human terms. Therefore, human-centered measures have been proposed, e.g. the depth. This paper discusses the depth of various games, extends it to a continuous measure. We provide new depth results and present tool (given-first-move, pie rule, size extension) for increasing it. We also use these measures for analyzing games and opening moves in Y, NoGo, Killall Go, and the effect of pie rules

Streamlining Case Studies for Education

Recent results of cognitive psychology seem to confirm that post secondary education in civil engineering can be conceived as introduction to the world of models, and to the model selection and application skills. From this perspective, case study analysis turns to be one of the most efficient approaches used worldwide by educators teaching geotechnics. BSc and MSc levels of knowledge and competency are easy to distinguish and characterize plausibly in this conceptual framework. Significance of the MSc level thinking in geotechnics proves to be a consequence. Plenty of case studies, in principle, can be selected to meet the educational purposes, since conference proceedings and periodicals contain a treasury of informative, instructive and illuminating case studies. Nevertheless, there are faults and shortcomings hindering the educators from using these publications effectively. There is some room to improve this situation. Priority aspects can be defined and offered to case study authors ready for considering educational points. Case study treasuries can be evaluated a posteriori with regard to the same priority list. Pilot selection results and informal discussions with prolific case study authors show that it is worth putting some effort into this work

From Bounded Rationality to Behavioral Economics

The paper provides an brief overview of the “state of the art” in the theory of rational decision making since the 1950’s, and focuses specially on the evolutionary justification of rationality. It is claimed that this justification, and more generally the economic methodology inherited from the Chicago school, becomes untenable once taking into account Kauffman’s Nk model, showing that if evolution it is based on trial-and-error search process, it leads generally to sub- optimal stable solutions: the ‘as if’ justification of perfect rationality proves therefore to be a fallacious metaphor. The normative interpretation of decision-making theory is therefore questioned, and the two challenging views against this approach , Simon’s bounded rationality and Allais’ criticism to expected utility theory are discussed. On this ground it is shown that the cognitive characteristics of choice processes are becoming more and more important for explanation of economic behavior and of deviations from rationality. In particular, according to Kahneman’s Nobel Lecture, it is suggested that the distinction between two types of cognitive processes – the effortful process of deliberate reasoning on the one hand, and the automatic process of unconscious intuition on the other – can provide a different map with which to explain a broad class of deviations from pure ‘olympian’ rationality. This view requires re-establishing and revising connections between psychology and economics: an on-going challenge against the normative approach to economic methodology.Bounded Rationality, Behavioral Economics, Evolution, As If

Why Consultations? The public participation in water management and local spatial planning in two Polish cases

Despite many novelties in participation: participatory budgeting, citizens jury, deliberatice poll etc. the engagement of different stakeholders’ groups in the decision making processes concerning detailed planning issues (local spatial management plans, water management plans, the preservation management plans of the Natura 2000 sites) is usually based on the organization of open discussion meetings. The study looks at the social consultations regarding acceptance of local spatial management plans managed by Poznań City Hall and consultations concerning the preparation of water management plans managed by Regional Water Management Board in Poznań. The comparative analysis served to exhibit similarities and differences between the processes in terms of legal conditions, the organization of meetings, the length and the scale of the process and the actors engaged

Strategy as Diligence: Putting Behavioral Strategy into Practice

Researchers in behavioral strategy are producing new insights on strategic decision making. At the same time, a few pioneering companies are discovering ways to put behavioral strategy into practice. This paper draws on behavioral research and strategy practice to present an approach called diligence-based strategy. In markets comprised of people rather than rational economic agents, the analysis of competitive advantages matters less than the diligent execution of fundamental activities. Diligence-based strategy offers an applied method for formulating and executing strategy in organizations, showing how managers can leverage technology and management discipline to drive business success in the 21st century

Remotely Engaged? A Framework for Monitoring the Success of Stakeholder Engagement in Remote Regions

The importance of stakeholder engagement for the success of natural resources management processes is widely acknowledged, yet evaluation frameworks employed by administrators of environmental programs continue to provide limited recognition of or insistence upon engagement processes. This paper presents a framework for monitoring and evaluation of engagement that aims to better incorporate community engagement into mainstream environmental programs, in particular in remote regions such as arid and desert regions of the world. We argue that successful monitoring of engagement should not only comprise a generic set of indicators but rather, in addition to the principles of good monitoring practice, should take into account a variety of the stakeholder interests as well as key regional drivers, addressing them at right geographic, institutional and time scale.engagement, evaluation, governance, natural resources, participation, stakeholders

Imagining the thinking machine: Technological myths and the rise of artificial intelligence

This article discusses the role of technological myths in the development of Artificial Intelligence (AI) technologies from 1950s to the early 1970s. It shows how the rise of AI was accompanied by the construction of a powerful cultural myth: the creation of a thinking machine, which would be able to perfectly simulate the cognitive faculties of the human mind. Based on a content analysis of articles on Artificial Intelligence published in two magazines, the Scientific American and the New Scientist, which were aimed at a broad readership of scientists, engineers, and technologists, three dominant patterns in the construction of the AI myth are identified: (1) the recurrence of analogies and discursive shifts, by which ideas and concepts from other fields were employed to describe the functioning of AI technologies; (2) a rhetorical use of the future, imagining that present shortcomings and limitations will shortly be overcome; (3) the relevance of controversies around the claims of AI, which we argue should be considered as an integral part of the discourse surrounding the AI myth