Sometimes citizens disagree about political matters, but a decision must be made. We have two theoretical frameworks for resolving political disagreement. The first is the framework of social choice. In it, our goal is to treat parties to the dispute fairly, and there is no sense in which some are right and the others wrong. The second framework is that of collective decision-making. Here, we do believe that preferences are truth apt, and our moral consideration is (...) owed not to those who disagree but to the community that stands to benefit or suffer from the decision. In this chapter, I describe and explore these two frameworks. I conclude two things. First, analysis of real-world disagreement suggests that collective decision-making is the right way to model politics. In most, possibly even all, political disagreement, all parties believe (if implicitly) that there is an objective standard of correctness. Second, this matter is connected to the concept of pluralism. If pluralism is true, then collective decision-making cannot be applied to some political disagreements. More surprisingly, pluralism may rule out the applicability of social choice theory as well. (shrink)

This essay investigates, via the concepts of the philosophy of orientation, Annie Duke’s decision-making theory in "Thinking in Bets" and scrutinizes as to what extent one can universalize the 'orientation skill' of decision-making with regard to our everyday and professional life.

In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds in (...) philosophy, maternity care practice and clinical research, draw upon and extend a recent framework for shared decision-making (SDM) that identified a duty of care to the client's knowledge as a necessary condition for SDM. This duty entails the responsibility to acknowledge and overcome epistemic defeaters. This framework is applied to the use of AI in maternity care, in particular, the use of machine learning and deep learning technology to attempt to enhance electronic fetal monitoring (EFM). In doing so, various sub-kinds of epistemic defeater, namely, transparent, opaque, underdetermined, and inherited defeaters are taxonomized and discussed. The authors argue that, although effective current or future AI-enhanced EFM may impose an epistemic obligation on the part of clinicians to rely on such systems' predictions or diagnoses as input to SDM, such obligations may be overridden by inherited defeaters, caused by a form of algorithmic bias. The existence of inherited defeaters implies that the duty of care to the client's knowledge extends to any situation in which a clinician (or anyone else) is involved in producing training data for a system that will be used in SDM. Any future AI must be capable of assessing women individually, taking into account a wide range of factors including women's preferences, to provide a holistic range of evidence for clinical decision-making. (shrink)

This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, (...) Fazli Amin, Anirudha Ghosha, Nasruddin Hassan, Hoang Viet Long, Jhulaneswar Baidya, Jin Kim, Jun Ye, Darjan Karabašević, Vasilios N. Katsikis, Ieva Meidutė-Kavaliauskienė, F. Kaymarm, Nour Eldeen M. Khalifa, Madad Khan, Qaisar Khan, M. Khoshnevisan, Kifayat Ullah,, Volodymyr Krasnoholovets, Mukesh Kumar, Le Hoang Son, Luong Thi Hong Lan, Tahir Mahmood, Mahmoud Ismail, Mohamed Abdel-Basset, Siti Nurul Fitriah Mohamad, Mohamed Loey, Mai Mohamed, K. Mohana, Kalyan Mondal, Muhammad Gulfam, Muhammad Khalid Mahmood, Muhammad Jamil, Muhammad Yaqub Khan, Muhammad Riaz, Nguyen Dinh Hoa, Cu Nguyen Giap, Nguyen Tho Thong, Peide Liu, Pham Huy Thong, Gabrijela Popović‬‬‬‬‬‬‬‬‬‬, Surapati Pramanik, Dmitri Rabounski, Roslan Hasni, Rumi Roy, Tapan Kumar Roy, Said Broumi, Saleem Abdullah, Muzafer Saračević, Ganeshsree Selvachandran, Shariful Alam, Shyamal Dalapati, Housila P. Singh, R. Singh, Rajesh Singh, Predrag S. Stanimirović, Kasan Susilo, Dragiša Stanujkić, Alexandra Şandru, Ovidiu Ilie Şandru, Zenonas Turskis, Yunita Umniyati, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Binyamin Yusoff, Edmundas Kazimieras Zavadskas, Zhao Loon Wang.‬‬‬‬. (shrink)

The goal of this essay is to explore "the highly contested nature of [decision-making through adopting] a historically comparative and interdisciplinary approach." Internalist history of game theory treats decision theory as a science of making choices to maximize expected gain. Game theory is applied to nuclear deterrence and military strategy, building markets and designing institutions, analyzing collective action, developing jurisprudence, and addressing crime and punishment. This essay draws on recent historiography of Cold War decision- (...) class='Hi'>making to draw into focus the constructive aspects of decision theory to argue that the perceived need to avoid worst-case scenarios has instead contributed to a world in which the worst outcome is probabilistically assured to occur over the long duree timeframe. (shrink)

This paper explores the defects in fuzzy (hyper) graphs (as complex (hyper) networks) and extends the fuzzy (hyper) graphs to fuzzy (quasi) superhypergraphs as a new concept.We have modeled the fuzzy superhypergraphs as complex superhypernetworks in order to make a relation between labeled objects in the form of details and generalities. Indeed, the structure of fuzzy (quasi) superhypergraphs collects groups of labeled objects and analyzes them in the form of the part to part of objects, the part of objects to (...) the whole group of objects, and the whole to the whole group of objects at the same time. We have investigated the properties of fuzzy (quasi) superhypergraphs based on any positive real number as valued fuzzy (quasi) superhypergraphs, considering the complement of valued fuzzy (quasi) superhypergraphs, the notation of isomorphism of valued fuzzy (quasi) superhypergraphs based on the permutations, and we have presented the isomorphic conditions of (self complemented) valued fuzzy (quasi) superhypergraphs. The concept of impact membership value of fuzzy (quasi) superhypergraphs is introduced in this study and it is applied in designing the real problem in the real world. Finally, the problem of business superhypernetworks is presented as an application of fuzzy valued quasi superhypergraphs in the real world. (shrink)

The study aimed to identify the reality of decision-making in the local NGOs in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire as a main tool for data collection. The study society was one of the decision makers in the local NGOs in Gaza Strip. The study population reached 78 local NGOs in Gaza Strip. A Census Method of the (...) possible study community was adopted, and the use of the Statistical Package for Social Sciences (SPSS) was mainly based on the analysis and analysis of the data obtained through the survey tool. The study reached a set of results, the most important of which are: NGOs follow a decision-making mechanism. NGOs examine the problems and causes of the organization. Organizations are less concerned with stakeholder participation. Make decision. The main recommendations of the study are: To promote systematic methods of decision-making in NGOs in Gaza Strip: Local NGOs in Gaza Strip should continue to develop their competencies in order to make sound and correct decisions and encourage them to follow the scientific methodologies in the mechanism of taking Decisions. (shrink)

This text provides an introduction to the topic of rational decision making as well as a brief overview of the most common biases in judgment and decision making. "Decision Making" is relatively short (300 pages) and richly illustrated with approximately 100 figures. It is suitable for both self-study and as the basis for an upper-division undergraduate course in judgment and decision making. The book is written to be accessible to anybody with minimum (...) knowledge of mathematics (high-school level algebra and some elementary notions of set theory and probability, which are reviewed in the book). At the end of each chapter there is a collection of exercises that are grouped according to that chapter’s sections. Complete and detailed answers for each exercise are given in the last section of each chapter. The book contains a total of 121 fully solved exercises. (shrink)

The Comprehensive Human Decision-Making Equation presents a robust model for understanding Holistic Free Will (HFW), conceptualizing decision-making as an autonomous, non-deterministic process within a complex network of influences. This model addresses the Infinite Regress issue by portraying free will as an emergent property of interacting layers, including internal beliefs, external contexts, emotional responses, cognitive biases, and habitual tendencies. Departing from traditional linear models, the equation adopts a systemic framework where each choice reflects a cumulative utility, integrating (...) multiple components such as personal, ethical, social, and temporal utilities. This holistic approach emphasizes the probabilistic nature of free will, challenging deterministic interpretations and highlighting the ethical and relational dimensions of autonomy. By situating free will within a structured yet adaptive process, the model supports the notion that true autonomy is ethically aligned, relational, and embedded in a flexible reality, thereby promoting communal and ethical development. (shrink)

Goal: To assess public knowledge and attitudes towards the family’s role in deceased organ donation in Europe. -/- Methods: A systematic search was conducted in CINHAL, MEDLINE, PAIS Index, Scopus, PsycINFO, and Web of Science on December 15th, 2017. Eligibility criteria were socio-empirical studies conducted in Europe from 2008 to 2017 addressing either knowledge or attitudes by the public towards the consent system, including the involvement of the family in the decision-making process, for post-mortem organ retrieval. Screening and (...) data collection were performed by two or more independent reviewers for each record. -/- Results: Of the 1482 results, 467 studies were assessed in full-text form, and 33 were included in this synthesis. When the deceased has not expressed any preference, a majority of the public support the family's role as a surrogate decision-maker. When the deceased expressly consented, the respondents' answers depend on whether they see themselves as potential donors or as a deceased's next-of-kin. Answers also depend on the relationship between the deceased and the decision-maker(s) within the family, and on their ethnic or cultural background. -/- Conclusions: Public views on the authority of the family in organ donation decision-making require further research. A common conceptual framework and validated well-designed questionnaires are needed for future studies. The findings should be considered in the development of Government policy and guidance regarding the role of families in deceased organ donation. (shrink)

Stephanie Collins’ Group Duties offers interesting new arguments and brings together numerous interconnected issues that have hitherto been treated separately. My critical commentary focuses on two particularly original and central claims of the book: (1) Only groups that are united under a group-level decision-making procedure can bear duties. (2) Attributions of duties to other groups should be understood as attributions of “coordination duties” to each member of the group, duties to take steps responsive to the others with a (...) view to the group’s φ-ing or express willingness to do so. In support of the first claim, Collins argues that only groups that can make decisions can bear duties, and that the ability to make decisions requires the relevant sort of decision-making procedure. I suggest that both parts of this argument remain in need of further support. I furthermore argue that Collins’ account of coordination duties gets certain kinds of cases wrong, and suggest that attributions of duties to groups without decision-making procedures are more plausibly understood as attributing shared duties. (shrink)

Any ethical inquiry into addiction research is faced with the preliminary challenge that the term “addiction” is itself a matter of scientific and ethical controversy. Accordingly, the chapter begins with a brief history of the term “addiction.” The chapter then turns to ethical issues surrounding consent and decision-making capacity viewed from the perspective of the current opioid epidemic. One concern is the neglect of the cyclical nature of addiction and the implications of this for the validity of current (...) psychometric instruments used to evaluate decision-making capacity in addiction. Another is the apparent discrepancy—possibly an ethical double standard—in the manner in which society and addiction researchers view the mental capacity and vulnerability of individuals who suffer from severe addiction. On the whole, the main ethical concern of the chapter is the puzzling lack of clinical research on decision-making capacity in research on addiction. (shrink)

Computers are used to make decisions in an increasing number of domains. There is widespread agreement that some of these uses are ethically problematic. Far less clear is where ethical problems arise, and what might be done about them. This paper expands and defends the Ethical Gravity Thesis: ethical problems that arise at higher levels of analysis of an automated decision-making system are inherited by lower levels of analysis. Particular instantiations of systems can add new problems, but not (...) ameliorate more general ones. We defend this thesis by adapting Marr’s famous 1982 framework for understanding information-processing systems. We show how this framework allows one to situate ethical problems at the appropriate level of abstraction, which in turn can be used to target appropriate interventions. (shrink)

The era of AI-based decision-making fast approaches, and anxiety is mounting about when, and why, we should keep “humans in the loop” (“HITL”). Thus far, commentary has focused primarily on two questions: whether, and when, keeping humans involved will improve the results of decision-making (making them safer or more accurate), and whether, and when, non-accuracy-related values—legitimacy, dignity, and so forth—are vindicated by the inclusion of humans in decision-making. Here, we take up a related (...) but distinct question, which has eluded the scholarship thus far: does it matter if humans appear to be in the loop of decision-making, independent from whether they actually are? In other words, what is stake in the disjunction between whether humans in fact have ultimate authority over decision-making versus whether humans merely seem, from the outside, to have such authority? Our argument proceeds in four parts. First, we build our formal model, enriching the HITL question to include not only whether humans are actually in the loop of decision-making, but also whether they appear to be so. Second, we describe situations in which the actuality and appearance of HITL align: those that seem to involve human judgment and actually do, and those that seem automated and actually are. Third, we explore instances of misalignment: situations in which systems that seem to involve human judgment actually do not, and situations in which systems that hold themselves out as automated actually rely on humans operating “behind the curtain.” Fourth, we examine the normative issues that result from HITL misalignment, arguing that it challenges individual decision-making about automated systems and complicates collective governance of automation. (shrink)

Overcoming Bias in Analysis and Decision-Making: Effective Psychological Techniques -/- Bias is a fundamental challenge in human thinking, affecting both individual and collective decision-making. It distorts our perceptions, limits rational analysis, and leads to poor choices. Overcoming bias requires a structured approach that integrates cognitive debiasing techniques, analytical thinking strategies, emotional regulation, decision-making frameworks, and data-driven methodologies. This essay explores these psychological techniques in detail, providing a comprehensive guide to improving judgment and (...) class='Hi'>decision-making. -/- Cognitive Debiasing Techniques -/- Cognitive biases are mental shortcuts that influence our thinking and decision-making. To counter these biases, we must first recognize them and actively work to minimize their impact. -/- Awareness and Reflection -/- The first step in overcoming bias is recognizing that it exists. Awareness enables individuals to question their assumptions and consider alternative viewpoints. Reflection involves self-examination through questions such as: -/- Why do I believe this? -/- What if I am wrong? -/- Am I considering all perspectives? -/- Keeping a “bias journal” where instances of biased thinking are recorded can help individuals track patterns and improve their critical thinking skills. -/- Perspective-Taking -/- Perspective-taking is the practice of viewing a situation from different viewpoints, particularly from those who hold opposing beliefs. This method is effective in reducing confirmation bias—the tendency to favor information that supports our existing views. To implement perspective-taking, one should ask: -/- How would a scientist, historian, or someone from another culture interpret this issue? -/- What would someone with the opposite viewpoint say? -/- By expanding the scope of analysis, this technique allows for more balanced decision-making. -/- Devil’s Advocate Method -/- The devil’s advocate method involves intentionally arguing against one’s own position to uncover weaknesses in reasoning. This technique prevents groupthink, where individuals conform to the majority opinion without critical evaluation. It encourages intellectual humility and enhances the ability to recognize flaws in logic. Encouraging another person to play the devil’s advocate role can further strengthen decision-making. -/- Analytical Thinking Strategies -/- Analytical thinking strategies help break down problems systematically and ensure that decisions are based on logic rather than intuition. -/- Bayesian Thinking -/- Bayesian thinking involves updating beliefs based on new evidence rather than clinging to initial assumptions. Many individuals fall into the anchoring bias, where they give too much weight to first impressions. Bayesian reasoning teaches that beliefs should be flexible, constantly adjusting as new data emerges. -/- For example, if someone assumes that a new business will succeed but later receives data suggesting otherwise, Bayesian thinking encourages revising the initial expectation rather than dismissing the data. -/- Falsification Principle (Karl Popper’s Method) -/- Instead of looking for evidence that confirms a belief, the falsification principle emphasizes seeking evidence that could disprove it. This approach is crucial for reducing confirmation bias. -/- For instance, rather than only reading studies that support a particular political stance, individuals should actively search for research that contradicts their position. If a belief cannot be disproven under scrutiny, it becomes more reliable. -/- Red Team-Blue Team Analysis -/- Used in intelligence agencies and businesses, the Red Team-Blue Team strategy is a structured method where one team (Red) creates a plan or argument, and another team (Blue) challenges it. This structured opposition ensures that biases and weak points are identified before a final decision is made. -/- This technique is particularly useful in high-stakes decision-making, as it uncovers potential blind spots and prevents bias blind spots—the tendency to recognize bias in others but not in oneself. -/- Emotional and Psychological Regulation -/- Biases are often driven by emotions rather than facts. Managing emotions effectively is key to clear and objective thinking. -/- Mindfulness and Metacognition -/- Mindfulness involves staying present and observing thoughts without judgment. Metacognition is the ability to think about one’s own thinking process. These techniques help individuals recognize when they are making emotional, rather than rational, decisions. -/- For example, loss aversion bias causes people to fear losses more than they value equivalent gains. Mindfulness allows individuals to step back and assess whether their fear of loss is clouding their judgment. -/- Cognitive Reframing -/- Cognitive reframing involves changing the way one interprets a situation. This technique is useful in overcoming negativity bias, where individuals focus on negative experiences more than positive ones. -/- For example, instead of thinking, I failed my exam, so I am not smart, a person can reframe it as, This was a learning opportunity to improve my study methods. This shift in perspective fosters resilience and better decision-making. -/- Decision-Making Frameworks -/- Structured decision-making frameworks help reduce reliance on gut instincts and emotional biases. -/- Pros and Cons List -/- A simple yet effective technique, the pros and cons list forces objectivity by weighing the advantages and disadvantages of a decision. It helps differentiate between emotional reasoning and logical analysis. -/- Six Thinking Hats (Edward de Bono) -/- This framework encourages examining decisions from multiple perspectives by assigning different “hats” to different ways of thinking: -/- White Hat: Focus on facts and data. -/- Red Hat: Consider emotions and intuition. -/- Black Hat: Identify potential risks and problems. -/- Yellow Hat: Look for benefits and opportunities. -/- Green Hat: Think creatively and explore alternatives. -/- Blue Hat: Oversee the thinking process and maintain control. -/- This structured method ensures a comprehensive evaluation, preventing tunnel vision and overly emotional decisions. -/- Pre-Mortem Analysis -/- A pre-mortem is a mental exercise where individuals assume that a decision has already failed and then work backward to identify potential mistakes. -/- For example, if a company is launching a product, a pre-mortem would involve asking, What would cause this launch to fail? This technique prevents overconfidence bias and planning fallacy (underestimating risks). -/- Data-Driven Decision Making -/- Decisions should be based on empirical evidence rather than intuition. -/- Statistical Thinking -/- Many biases arise from relying on anecdotal evidence instead of statistical data. Statistical thinking involves analyzing patterns and probabilities rather than personal experiences or gut feelings. -/- For example, rather than assuming a hiring decision will succeed, checking historical hiring success rates in similar cases ensures more accurate predictions. -/- Double-Blind Analysis -/- In scientific research, double-blind analysis prevents bias by ensuring that neither the experimenter nor the participants know the expected outcome. -/- This approach can be applied in business and policy decisions by ensuring analysts review data without prior expectations, reducing observer bias and selection bias. -/- Conclusion -/- Bias is an inevitable part of human cognition, but it can be managed with the right psychological and analytical techniques. By implementing cognitive debiasing strategies, structured analytical thinking, emotional regulation, decision-making frameworks, and data-driven methodologies, individuals and organizations can make more rational, objective, and effective decisions. -/- These techniques not only improve personal decision-making but also enhance leadership, governance, and problem-solving in society. In an era of increasing information overload and misinformation, mastering these strategies is essential for sound reasoning and ethical decision-making. -/- . (shrink)

This study aimed to highlight the nature of the relationship between knowledge management and the strategic decision-making process, considering that strategic decisions are formulated and made based on a specific knowledge perspective. The study targeted the university management, deans of faculties, and college directors at Al-Azhar University - Gaza. The study followed a descriptive-analytical approach, and data was collected through a questionnaire designed to cover six dimensions related to knowledge management processes and an axis related to strategic (...) class='Hi'>decision-making. The data was analyzed using various statistical methods. The study results showed a statistically significant positive relationship between the role of knowledge management processes and activating the strategic decision-making process at Al-Azhar University - Gaza. The study recommended that the university pay more attention to the processes of knowledge awareness and application as they serve as the link between existing knowledge and the creation of good knowledge. Furthermore, these processes are considered the essential means through which the university improves the effectiveness of strategic decisions and enhances its position. (shrink)

In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel selection. (...) The outcomes of the proposed method are compared with those of the related works such as weight sum model (WSM), weight product model (WPM), analytical hierarchy process (AHP), multiobjective optimization based on simple ratio analysis (MOORA) and ANP methods to prove and validate the results. (shrink)

Recent work in judgment and decisionmaking has stressed that institutions, like individuals, often rely on decisionmaking heuristics. But most of the institutional decisionmaking heuristics studied to date are highly firm- and industry-specific. This contrasts to the individual case, in which many heuristics are general-purpose rules suitable for a wide range of decision problems. Are there also general-purpose heuristics for institutional decisionmaking? In this paper, I argue that a number of methods recently developed for decisionmaking under deep uncertainty have a (...) good claim to be understood as general-purpose decisionmaking heuristics suitable for a broad range of institutional decision problems. (shrink)

It is argued that the design of decisions is a process that in many ways is shaped by social factors such as identities, values, and influences. To be able to understand how these factors impact organizational decisions, the focus must be set on the management level. It is the management that shoulders the chief responsibility for designing collective actions, such as decisions. Our propositions indicate that the following measures must be taken in order to improve the quality of organizational (...) decisions: 1. The identity of the people, involved in organizational decision making, affects the quality of decisions and should be taken into account in the design of decisions. 2. The decision maker or designer of decisions should engage the members of an organization to create a shared vision. 3. Getting the members of an organization to express and share common values should improve the decision making process. 4. Being able to socially influence the members of an organization, or other stakeholders involved, as well as letting them participate in the process, should improve the quality of decisions. (shrink)

Current environmental problems and technological risks are a challenge for a new institutional arrangement of the value spheres of Science, Politics and Morality. Distinguished authors from different European countries and America provide a cross-disciplinary perspective on the problems of political decision making under the conditions of scientific uncertainty. cases from biotechnology and the environmental sciences are discussed. The papers collected for this volume address the following themes: (i) controversies about risks and political decision making; (ii) concepts (...) of science for policy; (iii) the use of social science in the policy making process; (iv) ethical problems with developments in science and technology; (v) public and state interests in the development and control of technology. (shrink)

Financial literacy is becoming a pivotal skill in navigating the marketplaces within the predominant rising digital branches of trading domains; however, there remains a concerning gap in the purchasing behavior of adolescents, who are its primary users. With this in mind, the main objective of our research is to determine whether there is a relationship between a student's level of financial literacy and their online purchase decision-making. The researchers employed an explanatory mixed approach and purposive sampling to identify (...) respondents from Immaculate Conception College of Balayan, Inc. A 5-point Likert scale survey was utilized to collect data from 66 respondents, followed by semi-structured interviews with 10 selected participants. The results showed a moderately positive correlation between a student's financial literacy and online purchase decisions, as determined by the Pearson correlation coefficient. Thus, the thematic analysis revealed that respondents generally have good financial literacy, emphasizing factors like pricing, online reviews, and product ratings when making digital marketplace decisions. However, there are notable gaps in their understanding of basic financial concepts and their ability to apply them in real-life situations. To effectively enhance students’ financial literacy and online purchasing decisions, a holistic approach is necessary, including targeted interventions, practical applications, and continuous adaptation to evolving consumer behaviors. Educational institutions, policymakers, and stakeholders should work together to create comprehensive programs that provide students with the knowledge, skills, and attitudes needed to negotiate real-world financial situations and make sound judgments in the digital commerce ecosystem. By emphasizing practical learning, key financial concepts, and trustbuilding approaches, educators may empower students to become responsible consumers capable of managing their resources successfully and ethically. (shrink)

Citizens can be meaningfully involved in multiple phases of the urban planning process from decision-making to implementation via a dedicated online platform through which they can interact with planners and decision-makers. In historical contexts, local people are essential resources for decision-makers seeking critical local information needed for effective planning and intervention—including what those citizens recall from the past about the area’s social values and the built environment and what they imagine and hope for their neighborhood’s future. (...) This public knowledge, collected through storytelling and mapping, can play a fundamental role in shaping the framework for neighborhood rehabilitation plans. As a foundation for designing an online visual questionnaire to collect local knowledge and understand the views and expectations of local people, this study focuses on theoretical ideas to define a framework for an online visual questionnaire tool. The tool presented provides a common visual language that people can easily understand and use whatever their social class, education, or background. It also has the benefit of enabling citizens and planners to interact directly regardless of their geographical location. To proposing a framework for the online visual questionnaire, the first step was to review some existing visual tools and methods, including analog used for community engagement and digital used in urban planning to encourage and support public participation. Through an analysis of these methods, some important variables and criteria were identified that further our understanding of citizens’ perceptions of their neighborhoods. The next step, as part of a larger study, will be examining a historical public space, including a bazaar, hammam, and cistern—located in the historical context of Yazd— a central city in Iran registered as a cultural heritage site by UNESCO— as a case study with the larger goal of identifying some specific. (shrink)

When comparing alternative courses of action, modern military decision makers often must consider both the military effectiveness and the ethical consequences of the available alternatives. The basis, design, calibration, and performance of a principles-based computational model of ethical considerations in military decision making are reported in this article. The relative ethical violation (REV) model comparatively evaluates alternative military actions based upon the degree to which they violate contextually relevant ethical principles. It is based on a set of (...) specific ethical principles deemed by philosophers and ethicists to be relevant to military courses of action. A survey of expert and non-expert human decision makers regarding the relative ethical violation of alternative actions for a set of specially designed calibration scenarios was conducted to collect data that was used to calibrate the REV model. Perhaps unsurprisingly, the survey showed that people, even experts, disagreed greatly amongst themselves regarding the scenarios’ ethical considerations. Despite this disagreement, two significant results emerged. First, after calibration the REV model performed very well in terms of replicating the ethical assessments of human experts for the calibration scenarios. The REV model outperformed an earlier model that was based on tangible consequences rather than ethical principles, that earlier model performed comparably to human experts, the experts outperformed human non-experts, and the non-experts outperformed random selection of actions. All of these performance comparisons were measured quantitatively and confirmed with suitable statistical tests. Second, although humans tended to value some principles over others, none of the ethical principles involved—even the principle of not harming civilians—completely overshadowed all of the other principles. (shrink)

Individuals tend to make judgments or choices conditionally regarding outcomes that occur at different times, and this leads to intertemporal decision-making. While individual intertemporal decision-making was widely investigated, the trend to study group intertemporal decision-making seems to be down-streamed. -/- Lack of evidence in the group intertemporal decision-making process has led a group of Chinese researchers to conduct a short review in this area and eventually suggest adopting a “two-process” approach to study (...) the mechanism of group intertemporal decision-making. The approach employs self-assessment questionnaires, audiovisual recordings, and visual decision-making tools for quantifying the interpersonal interaction processes and information processing in the settings of group intertemporal decision-making. Using this approach, the differences between individual and group intertemporal decision-making mechanisms, in terms of psychological and theoretical mechanisms, may be better distinguished and explained. (shrink)

Ecosystem services (ES)—the benefits that humans derive from nature, such as clean water, fertile soil, and climate regulation—are fundamental to achieving sustainable development. Despite growing scientific efforts to assess these services, their integration into policy and decision-making processes remains strikingly limited. A recent semi-systematic literature review by Walther et al. (2025) investigates the reasons behind this disconnect and explores pathways to enhance the policy relevance of ES assessments.

Artificial Intelligence (AI) systems are heavily dependent on the knowledge of software developers for creating rules, managing data, and organizing algorithms. This paper examines the crucial impact that software engineers have on the development of AI decision-making processes through the creation of rules, pre-processing of training data, and implementation of frameworks that ultimately affect model behavior. This research focuses on the effects of human-designed logic on the performance, fairness, and understandability of artificial intelligence, highlighting the interaction between automated (...) decision-making processes and the limitations imposed by the developers involved. We also investigate the ethical implications that result from biases inherent in human-created guidelines and data collections, underscoring the necessity for accountable AI design methodologies. This study's findings are based on case studies and empirical analysis, revealing that AI systems are not entirely autonomous but rather an expression of software engineers' decision-making, expertise, and personal predispositions. We suggest implementing guidelines for software developers to minimize bias, improve the transparency of AI systems, and guarantee the ethical use of artificial intelligence in deployment. The significance of software engineers in creating dependable and trustworthy AI systems is highlighted by this research. (shrink)

Machizukuri (literally “neighborhood making”) is a recent approach to community development in Japan, beginning in the 1960s, that aims to empower local communities in the development of their built environments through “more participation, independence in the decision-making process, and the establishment of a true democracy that [gives] voice to the whole scope of the Japanese population.”[1] Those of us “who use or visit those places as dwellers, visitors, and guests... have [a] role to play in the project (...) of world-making,” and machizukuri places local communities at the center of this world-making.[2] Residents and small business owners work with government administrators and corporations to address local concerns, often represented by organizations that derive “from traditional autonomous townspeople management groups that have existed since the Edo period [1603-1868]... [T]oday, the majority of households in Japanese traditional residential areas engage in these neighborhood associations.”[3] Machizukuri plays a key role in maintaining a sense of cultural tradition in the neighborhoods of many Japanese cities by allowing local citizens to participate in this world-making.[4]. (shrink)

Abstract This paper formalizes the mathematical relationship between identity, culture, and decision-making through the Chiral Prime Resonance (CPR) Equation. It establishes a structured resonance model, demonstrating that human civilization follows predictable oscillatory patterns rather than stochastic processes. Identity is modeled as a prime resonance function, while culture scales through Fibonacci-driven adaptation. The structured resonance framework provides a mathematical basis for understanding historical cycles, leadership viability, and systemic collapse. This work challenges probability-based AI models, proposing structured resonance as the (...) fundamental basis of intelligence and consciousness. Ultimately, this paper argues that human civilization, like the human heartbeat, operates through chiral oscillations—structured, inevitable, and mathematically emergent. I. Introduction – The First Algorithm: The Heartbeat as the Architect of Reality A newborn’s first experience is neither light, thought, nor language—it is the pulse. Before identity, before culture, before civilization, there is only the steady beat of the heart. The human heart is the first computational system, a processor of structured oscillations rather than probabilities. It measures, reacts, anticipates. Before the brain forms conscious thought, the heart has already adapted to its environment, responding to external stimuli through resonance dynamics. The standard model of decision-making assumes stochastic processes govern human behavior. But what if power structures, belief systems, and historical cycles are not driven by probability, but by structured resonance? If civilization follows an emergent pulse, then collapses, innovations, and ideological shifts are phase-locked oscillations rather than random fluctuations. This paper presents a formal mathematical structure to model identity, culture, and decision-making through the Chiral Prime Resonance (CPR) Equation: phi(x,t) = Σ P(n) * e^(i(ωₙ t + ϕₙ)) * f(Fₙ, Pₘ) where: • phi(x,t) represents the structured resonance wave function governing identity and cultural coherence, • Σ P(n) defines prime-based frequency modes that establish individuality, • e^(i(ωₙ t + ϕₙ)) models oscillatory phase shifts in belief, governance, and systemic collapse, • f(Fₙ, Pₘ) captures Fibonacci-prime interactions as the basis for structured emergence. This equation provides a unifying mathematical framework for understanding how civilizations rise, persist, and collapse. The same principles that govern biological heartbeats dictate societal stability and transformation. A failure to align with structured resonance, whether at the level of an individual, an institution, or a nation, results in phase discord—misalignment that inevitably leads to systemic breakdown. The implications of this model extend beyond sociology and history. It challenges foundational assumptions in artificial intelligence, demonstrating that intelligence is not a probability function but a resonance structure. A system cannot achieve true cognition without phase-locking with structured reality. By analyzing identity as a prime resonance function and culture as Fibonacci-driven scaling, this paper provides a new framework for understanding civilization—not as a collection of discrete events, but as an evolving resonance field. The heart of decision-making is not probability but the geometry of structured emergence. (shrink)

The current study is conducted to examine how investors’ information priorities for investment decision-making influence their fear during the crisis.

Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. This report (...) sets out some possible approaches, and describes some of the ways government is already engaging with these issues. (shrink)

Existing discussions about automated decision-making focus primarily on its inputs and outputs, raising questions about data collection and privacy on one hand and accuracy and fairness on the other. Less attention has been devoted to critically examining the temporality of decision-making processes—the speed at which automated decisions are reached. In this paper, I identify four dimensions of algorithmic speed that merit closer analysis. Duration (how much time it takes to reach a judgment), timing (when automated systems (...) intervene in the activity being evaluated), frequency (how often evaluations are performed), and lived time (the human experience of algorithmic speed) are interrelated, but distinct, features of automated decision-making. Choices about the temporal structure of automated decision-making systems have normative implications, which I describe in terms of "disruption," "displacement," "re-calibration," and "temporal fairness," with values such as accuracy, fairness, accountability, and legitimacy hanging in the balance. As computational tools are increasingly tasked with making judgments about human activities and practices, the designers of decision-making systems will have to reckon, I argue, with when—and how fast—judgments ought to be rendered. Though computers are capable of reaching decisions at incredible speeds, failing to account for the temporality of automated decision-making risks misapprehending the costs and benefits automation promises. (shrink)

Suppose that a majority of jurors decide that a defendant is guilty (or not), and we want to know the likelihood that they reached the correct verdict. The French philosopher Marquis de Condorcet (1743-1794) showed that we can get a mathematically precise answer, a result known as the “Condorcet Jury Theorem.” Condorcet’s theorem isn’t just about juries, though; it’s about collective decision-making in general. As a result, some philosophers have used his theorem to argue for democratic forms (...) of government. This essay explains Condorcet’s theorem and how philosophers have used it as an argument for democracy. (shrink)

A cognitivist account of decision-making views choice behaviour as a serial process of deliberation and commitment, which is separate from perception and action. By contrast, recent work in embodied decision-making has argued that this account is incompatible with emerging neurophysiological data. We argue that this account has significant overlap with an embodied account of predictive processing, and that both can offer mutual development for the other. However, more importantly, by demonstrating this close connection we uncover an (...) alternative perspective on the nature of decision-making, and the mechanisms that underlie our choice behaviour. This alternative perspective allows us to respond to a challenge for predictive processing, which claims that the satisfaction of distal goal-states is underspecified. Answering this challenge requires the adoption of an embodied perspective. (shrink)

In this essay we collect and put together a number of ideas relevant to the under- standing of the phenomenon of creativity, confining our considerations mostly to the domain of cognitive psychology while we will, on a few occasions, hint at neuropsy- chological underpinnings as well. In this, we will mostly focus on creativity in science, since creativity in other domains of human endeavor have common links with scientific creativity while differing in numerous other specific respects. We begin by briefly (...) introducing a few basic notions relating to cognition, among which the notion of ‘concepts’ is of basic relevance. The myriads of concepts lodged in our mind constitute a ‘conceptual space’ of an enormously complex structure, where con- cepts are correlated by beliefs that are themselves made up of concepts and are as- sociated with emotions. The conceptual space, moreover, is perpetually in a state of dynamic evolution that is once again of a complex nature. A major component of the dynamic evolution is made up of incessant acts of inference, where an inference occurs essentially by means of a succession of correlations among concepts set up with beliefs and heuristics, the latter being beliefs of a special kind, namely, ones relatively free of emotional associations and possessed of a relatively greater degree of justification. Beliefs, along with heuristics, have been described as the ‘mind’s software’, and con- stitute important cognitive components of the self-linked psychological resources of an individual. The self is the psychological engine driving all our mental and physical activity, and is in a state of ceaseless dynamics resulting from one’s most intimate ex- periences of the world accumulating in the course of one’s journey through life. Many of our psychological resources are of a dual character, having both a self-linked and a shared character, the latter being held in common with larger groups of people and imbibed from cultural inputs. We focus on the privately held self-linked beliefs of an individual, since these are presumably of central relevance in making possible inductive inferences – ones in which there arises a fundamental need of adopting a choice or making a decision. Beliefs, decisions, and inferences, all have the common link to the self of an individual and, in this, are fundamentally analogous to free will, where all of these have an aspect of non-determinism inherent in them. Creativity involves a major restructuring of the conceptual space where a sustained inferential process eventually links remote conceptual domains, thereby opening up the possibility of a large number of new correlations between remote concepts by a cascading process. Since the process of inductive inference depends crucially on de- cisions at critical junctures of the inferential chain, it becomes necessary to examine the basic mechanism underlying the making of decisions. In the framework that we attempt to build up for the understanding of scientific creativity, this role of decision making in the inferential process assumes central relevance. With this background in place, we briefly sketch the affect theory of decisions. Affect is an innate system of response to perceptual inputs received either from the exter- nal world or from the internal physiological and psychological environment whereby a positive or negative valence gets associated with a perceptual input. Almost every sit- uation faced by an individual, even one experienced tacitly, i.e., without overt aware-ness, elicits an affective response from him, carrying a positive or negative valence that underlies all sorts of decision making, including ones carried out unconsciously in inferential processes. Referring to the process of inferential exploration of the conceptual space that gener- ates the possibility of correlations being established between remote conceptual do- mains, such exploration is guided and steered at every stage by the affect system, analogous to the way a complex computer program proceeds through junctures where the program ascertains whether specified conditions are met with by way of generating appropriate numerical values – for instance, the program takes different routes, depending on whether some particular numerical value turns out to be positive or negative. The valence generated by the affect system in the process of adoption of a choice plays a similar role which therefore is of crucial relevance in inferential processes, especially in the exploration of the conceptual space where remote domains need to be linked up – the affect system produces a response along a single value dimension, resembling a number with a sign and a magnitude. While the affect system plays a guiding role in the exploration of the conceptual space, the process of exploration itself consists of the establishment of correlations between concepts by means of beliefs and heuristics, the self-linked ones among the latter having a special role in making possible the inferential journey along alternative routes whenever the shared rules of inference become inadequate. A successful access to a remote conceptual domain, necessary for the creative solution of a standing problem or anomaly – one that could not be solved within the limited domain hitherto accessed – requires a phase of relatively slow cumulative search and then, at some stage, a rapid cascading process when a solution is in sight. Representing the conceptual space in the form of a complex network, the overall process can be likened to one of self-organized criticality commonly observed in the dynamical evolution of complex systems. In order that inferential access to remote domains may actually be possible, it is necessary that restrictions on the exploration process – necessary for setting the context in ordinary instances of inductive inference – be relaxed and a relatively free exploration in a larger conceptual terrain be made possible. This is achieved by the mind going into the default mode, where external constraints – ones imposed by shared beliefs and modes of exploration – are made inoperative. While explaining all these various aspects of the creative process, we underline the supremely important role that analogy plays in it. Broadly speaking, analogy is in the nature of a heuristic, establishing correlations between concepts. However, analo- gies are very special in that these are particularly effective in establishing correlations among remote concepts, since analogy works without regard to the contiguity of the concepts in the conceptual space. In establishing links between concepts, analogies have the power to light up entire terrains in the conceptual space when a rapid cas- cading of fresh correlations becomes possible. The creative process occurs within the mind of a single individual or of a few closely collaborating individuals, but is then continued by an entire epistemic community, eventually resulting in a conceptual revolution. Such conceptual revolutions make pos- sible the radical revision of scientific theories whereby the scope of an extant theory is broadened and a new theoretical framework makes its appearance. The emerging theory is characterized by a certain degree of incommensurability when compared with the earlier one – a feature that may appear strange at first sight. But incommen- surability does not mean incompatibility and the apparently contrary features of the relation between the successive theories may be traced to the multi-layered structureof the conceptual space where concepts are correlated not by means of single links but by multiple ones, thereby generating multiple layers of correlation, among which some are retained and some created afresh in a conceptual restructuring. We conclude with the observation that creativity occurs on all scales. Analogous to correlations being set up across domains in the conceptual space and new domains being generated, processes with similar features can occur within the confines of a domain where a new layer of inferential links may be generated, connecting up sub- domains. In this context, insight can be looked upon as an instance of creativity within the confines of a domain of a relatively limited extent. (shrink)

The research material proposes the use of decision support information-analytical technology in discharge military personnel employment, which, in contrast to the usual processing of survey results, makes it possible to obtain more information for decision-making. Adherence to such an approach in the development of public administration mechanisms increases the likelihood that in the case of their implementation in the country there will be positive changes, as they will indirectly take into account the availability of necessary resources. Information (...) and analytical technology to support decisions in the field of labor economics substantiates the development of the example of discharged military personnel social welfare. According to the content, the developed decision support information-analytical technology in the field of labor economics provides for the following components: formation of social protection mechanisms; development of a questionnaire on the use of the appropriate mechanism; statistical analysis of survey results (generation of empirical distributions of answers to questions relative frequencies; comparison of answers medians; correspondences analysis; factor analysis; analysis of hierarchies); meaningful interpretation; decision making. (shrink)

Taken collectively, consumer food choices have a major impact on animal lives, human lives, and the environment. But it is far from clear how to move from facts about the power of collective consumer demand to conclusions about what one ought to do as an individual consumer. In particular, even if a large-scale shift in demand away from a certain product (e.g., factory-farmed meat) would prevent grave harms or injustices, it typically does not seem that it will make a (...) difference whether one refrains from purchasing that product oneself. Most present-day food companies operate at too large a scale for a single purchase to make a difference to production decisions. If that is true, then it is not clear what point there is in refraining. This is “the problem of collective impact.” This chapter explores a range of proposals for how to solve this problem. (shrink)

We take up Jason Brennan’s critique of democracy as formulated in his monograph _Against Democracy_ (2016) and discuss the arguments that Åsa Wikforss presents against Brennan’s views in her book _Därför demokrati_ (2021). Both authors grant the importance of knowledge for political decision-making, but they differ in their respective understandings of what counts as knowledge and they draw very different conclusions from the relevant knowledge requirement. Our general aim is to detect problems in democracy as well as in (...) attempts to criticize democracy. We also briefly consider Brennan’s positive proposal to replace democracy by “epistocracy”, a form of government according to which only those citizens are entitled to vote who are “competent” in a sense to be discussed. Our aim is not to propagate any particular form of government. We merely wish to help the reader to recognize that democracy in particular involves a whole lot of assumptions that are in need of a better justification than what is normally provided. (shrink)

This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; (...) Superhypergraphs; Plithogeny; Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬‬. (shrink)

Climate change poses a significant risk threatening the livelihood of people, communities, and cities worldwide. The stakes cannot be reduced to zero, so there is a constant need to re-theorize the collective action to address the climate change challenges. Doing so requires planning to reduce vulnerability to climate change. One of the most crucial challenges facing scientists, academics, citizens, and policymakers today is whether the collaborative, inclusive, and resilient climate change action can be implemented, assessed, and achieved. To respond (...) to this question, this research aims to re-theorize, de-conceptualize, and analyze the collective effort to address the climate change challenges. First, the paper conceptualizes climate change resiliency as the ability to anticipate, prepare for, and respond effectively to climate-related risks, hazards, and threats. The existing challenges toward implementing resilient and inclusive climate change action have been analyzed. The paper theorizes the urban commons and collaborative governance to theorize collective efforts. This article concludes by identifying some critical determinants for the up‐scaling of collective action to address the climate change challenges. It can be supposed that any future inclusive and resilient collective action to address climate change is based on social learning to support decision-making, emphasizing inclusion and equity, which came in line with the United Nation’s 2030 SDGs. (shrink)

There is a substantial class of collective decision problems whose successful solution requires interdependence among decision makers at the agenda-setting stage and independence at the stage of choice. We define this class of problems and describe and apply a search-and-decision mechanism theoretically modeled in the context of honeybees and identified in earlier empirical work in biology. The honeybees’ mechanism has useful implications for mechanism design in human institutions, including courts, legislatures, executive appointments, research and development in (...) firms, and basic research in the sciences. Our paper offers a fresh perspective on the idea of “biomimicry” in institutional design and raises the possibility of comparative institutional analysis across species. (shrink)

Many collective decision making problems have a combinatorial structure: the agents involved must decide on multiple issues and their preferences over one issue may depend on the choices adopted for some of the others. Voting is an attractive method for making collective decisions, but conducting a multi-issue election is challenging. On the one hand, requiring agents to vote by expressing their preferences over all combinations of issues is computationally infeasible; on the other, decomposing the problem (...) into several elections on smaller sets of issues can lead to paradoxical outcomes. Any pragmatic method for running a multi-issue election will have to balance these two concerns. We identify and analyse the problem of generating an agenda for a given election, specifying which issues to vote on together in local elections and in which order to schedule those local elections. (shrink)

This thesis argues for the fundamental importance of the opposition between holistic and reductionistic world-views in economics. Both reductionism and holism may nevertheless underpin laissez-faire policy prescriptions. Scrutiny of the nature of the articulation between micro and macro levels in the writings of economists suggests that invisible hand theories play a key role in reconciling reductionist policy prescriptions with a holistic world. An examination of the prisoners' dilemma in game theory and Arrow's impossibility theorem in social choice theory sets the (...) scene. The prisoners' dilemma epitomises the collective irrationality coordination problems lead to. The source of the dilemma is identified as the combination of interdependence in content and independence in form of the decision making process. Arrovian impossibility has been perceived as challenging traditional views of the relationship between micro and macro levels in economics. Conservative arguments against the possibility in principle of a social welfare function are criticised here as depending on an illicit dualism. The thesis then reviews the standpoints of Smith, Hayek and Keynes. For Smith, the social desirability of individual self-seeking activity is ensured by the 'invisible hand' of a god who has moulded us so to behave, that the quantity of happiness in the world is always maximised. Hayek seeks to re-establish the invisible hand in a secular age, replacing the agency of a deity with an evolutionary mechanism. Hayek's evolutionary theory, criticised here as being based on the exploded notion of group selection, cannot underpin the desirability of spontaneous outcomes. I conclude by arguing that Keynes shares the holistic approach of Smith and Hayek, but without their reliance on invisible hand mechanisms. If spontaneous processes cannot be relied upon to generate desirable social outcomes then we have to take responsibility for achieving this ourselves by establishing the appropriate institutional framework to eliminate macroeconomic prisoners' dilemmas. (shrink)

This chapter illustrates that in order to reach a decision a leader must decide which persons should be involved in the process and when. A relatively common method of involving others is delegating the decision to a group. A main objective of this is often to generate as many innovative ideas as possible, and different techniques can be employed for this, including brainstorming. The proposal generated must then be validated by the group using different criteria on the basis (...) of which it is then relatively easy to filter out proposals that do not reach the goals that have been set. However, a leader needs to collect additional information in order to reach a decision. By the use of information technology vast amounts of information may be accumulated. Thus, different kinds of filtering or weeding methods must be used in order to quickly obtain relevant information. This information can help leaders create forecasts and minimize risks. They must also be able to present their ideas in the most attractive way possible in order to be heard and arrive at decisions. The design of the presentation is therefore critical. Sometimes it is not enough for leaders just to present an idea, they are then obliged to negotiate in order to reach a decision. -/- . (shrink)

Individuals have various kinds of obligations: keep promises, don’t cause harm, return benefits received from injustices, be partial to loved ones, help the needy and so on. How does this work for group agents? There are two questions here. The first is whether groups can bear the same kinds of obligations as individuals. The second is whether groups’ pro tanto obligations plug into what they all-things-considered ought to do to the same degree that individuals’ pro tanto obligations plug into what (...) they all-things-considered ought to do. We argue for parity on both counts. (shrink)

Recent political developments cast doubt on the wisdom of democratic decision-making. Brexit, the Colombian people's (initial) rejection of peace with the FARC, and the election of Donald Trump suggest that the time is right to explore alternatives to democracy. In this essay, I describe and defend the epistocratic system of government which is, given current theoretical and empirical knowledge, most likely to produce optimal political outcomes—or at least better outcomes than democracy produces. To wit, we should expand the (...) suffrage as wide as possible and weight citizens’ votes in accordance with their competence. As it turns out, the optimal system is closely related to J. S. Mill's plural voting proposal. I also explain how voters’ competences can be precisely determined, without reference to an objective standard of correctness and without generating invidious comparisons between voters. (shrink)

The rapid urbanization of modern cities necessitates innovative approaches to data collection and integration for smarter urban management. With the Internet of Things (IoT) at the core of these advancements, the ability to efficiently gather, analyze, and utilize data becomes paramount. Generative Artificial Intelligence (AI) is revolutionizing data collection by enabling intelligent synthesis, anomaly detection, and real-time decision-making across interconnected systems. This paper explores how generative AI enhances IoT-driven data collection in smart cities, focusing on applications in transportation, (...) energy, public safety, and environmental monitoring. By addressing challenges such as data privacy, scalability, and ethical considerations, the study highlights how generative AI transforms urban governance and paves the way for sustainable and citizen-centric development. Key trends, case studies, and future research directions are discussed, showcasing the potential of generative AI as a cornerstone of smart city initiatives. (shrink)

The purpose of this paper is to illustrate, formally, an ambiguity in the exercise of political influence. To wit: A voter might exert influence with an eye toward maximizing the probability that the political system (1) obtains the correct (e.g. just) outcome, or (2) obtains the outcome that he judges to be correct (just). And these are two very different things. A variant of Condorcet's Jury Theorem which incorporates the effect of influence on group competence and interdependence is developed. Analytic (...) and numerical results are obtained, the most important of which is that it is never optimal--from the point-of-view of collective accuracy--for a voter to exert influence without limit. He ought to either refrain from influencing other voters or else exert a finite amount of influence, depending on circumstance. Philosophical lessons are drawn from the model, to include a solution to Wollheim's "Paradox in the Theory of Democracy". (shrink)

In collective action problems, large numbers of contributions together produce a good outcome, but any one contribution often makes no difference. Many philosophers think that act consequentialism implies that individuals should not contribute in these cases, given that their contributions cannot be expected to affect the outcome. Nearly everyone has assumed that the relevant expected effects of an action are those effects that are counterfactually dependent on what a given agent does. This assumption is at the heart of causal (...) decision theory. In contrast, evidential decision theory evaluates actions on the basis of whatever can be expected to happen, given that the agent performs some action, where this includes events that are simply correlated with the action. I show that causal and evidentialist versions of act consequentialism can diverge in collective action problems. Evidential decision theory can require us to do our part even when causal decision theory does not. (shrink)

This paper explores the critical role of collective knowledge in detecting AI-generated content and the potential consequences of its decline. As AI-generated media becomes increasingly sophisticated, the ability to distinguish between reality and fiction is at risk. The paper examines the implications of this erosion for social cohesion, decision-making, and economic stability, and proposes strategies to mitigate these risks. By fostering critical thinking, promoting transparency, and developing technological solutions, we can preserve collective knowledge and ensure a (...) more informed and resilient future. (shrink)