"Shame on me... or Shame on You": The Connection Between Arts and Decision-making

2020 ◽  
Vol 22 ◽  
Author(s):  
Carolina Leah Arango

Over time artists have grappled with the experiences of the soul, particularly the human struggle to be virtuous. In this research project, choreographic tools are used to examine expressionistic links between the movement of Auguste Rodin’s sculpture The Gates of Hell and the narrative of Dante Alighieri’s Dante’s Inferno. These works were intended to persuade men to be righteous instead of committing sin. Rodin’s attention to human anatomy centers the importance of the body’s organic creation of movement in this struggle. Attention to the physique and emotion of the human body in motion has enabled Rodin’s work to transcend “generations and nationalities with the utmost ease”. The choreographic research aims to connect the links between emotion, expressions, and narrative of the souls to today. In contrast to sin simply being a conscious individual choice, an individual could be influenced to engage in “unethical behavior” by a group. Using dancers’ interpretation of ‘moral injustices’ as a guide for motifs, the choreography entitled “Shame on Me… or Shame on You?” will be a group work embodying the struggle of humanity to be good in real time.

2020 ◽  
Vol 110 (04) ◽  
pp. 184-188
Author(s):  
Marilena Krause ◽  
David Kik ◽  
S. Thomas Spengler ◽  
Peter Nyhuis

Die zunehmende Ansiedlung von Unternehmen in städtischen Ballungsräumen stellt die regionale Standortplanung vor neue Herausforderungen. Damit Unternehmen langfristig vorteilhafte Entscheidungen in der Standortplanung und -entwicklung treffen können, müssen sie verstärkt mit Kommunen kooperieren. Vor diesem Hintergrund wurde im DFG-Forschungsprojekt „MetroPlant“ ein integrierter Planungsansatz entwickelt, der Unternehmen bei der regionalen Standortbewertung und -entscheidung unterstützt. Berücksichtigt werden dabei unternehmensseitige und kommunale Maßnahmen zur Entwicklung von Standorten über die Zeit. Dieser Beitrag stellt wesentliche Erkenntnisse einer workshopbasierten Validierung des entwickelten Planungsansatzes vor.   Increasing numbers of companies settling in urban regions pose new challenges for regional site management. In order to make long-term beneficial decisions in site planning and development, enterprises must cooperate more closely with municipalities. In this context, an integrated planning approach was developed in the DFG research project „MetroPlant“ to support companies in their regional site evaluation and decision-making. Addressed are company and municipal measures for the development of sites over time. This paper presents essential findings of a workshop-based validation of the developed planning approach.


Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.


Author(s):  
Arto Penttinen ◽  
Dimitra Mylona

The section below contains reports on bioarchaeological remains recovered in the excavations in Areas D and C in the Sanctuary of Poseidon at Kalaureia, Poros, between 2003 and 2005. The excavations were directed by the late Berit Wells within a research project named Physical Environment and Daily Life in the Sanctuary of Poseidon at Kalaureia (Poros). The main objective of the project was to study what changed and what remained constant over time in the everyday life and in both the built and physical environment in an important sanctuary of the ancient Greeks. The bioarchaeological remains, of a crucial importance for this type of study, were collected both by means of traditional archaeological excavation and by processing extensively collected soil samples. This text aims to providing the theoretical and archaeological background for the analyses that follow.


2020 ◽  
Author(s):  
Seng Bum Michael Yoo ◽  
Benjamin Hayden ◽  
John Pearson

Humans and other animals evolved to make decisions that extend over time with continuous and ever-changing options. Nonetheless, the academic study of decision-making is mostly limited to the simple case of choice between two options. Here we advocate that the study of choice should expand to include continuous decisions. Continuous decisions, by our definition, involve a continuum of possible responses and take place over an extended period of time during which the response is continuously subject to modification. In most continuous decisions, the range of options can fluctuate and is affected by recent responses, making consideration of reciprocal feedback between choices and the environment essential. The study of continuous decisions raises new questions, such as how abstract processes of valuation and comparison are co-implemented with action planning and execution, how we simulate the large number of possible futures our choices lead to, and how our brains employ hierarchical structure to make choices more efficiently. While microeconomic theory has proven invaluable for discrete decisions, we propose that engineering control theory may serve as a better foundation for continuous ones. And while the concept of value has proven foundational for discrete decisions, goal states and policies may prove more useful for continuous ones.


Author(s):  
Jenni Myllykoski ◽  
Anniina Rantakari

This chapter focuses on temporality in managerial strategy making. It adopts an ‘in-time’ view to examine strategy making as the fluidity of the present experience and draws on a longitudinal, real-time study in a small Finnish software company. It shows five manifestations of ‘in-time’ processuality in strategy making, and identifies a temporality paradox that arises from the engagement of managers with two contradictory times: constructed linear ‘over time’ and experienced, becoming ‘in time’. These findings lead to the re-evaluation of the nature of intention in strategy making, and the authors elaborate the constitutive relation between time as ‘the passage of nature’ and human agency. Consequently, they argue that temporality should not be treated merely as an objective background or a subjective managerial orientation, but as a fundamental characteristic of processuality that defines the dynamics of strategy making.


2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.


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