This volume contains sixteen original articles documenting recent progress in understanding strategic behaviour. In their variety they reflect an entire spectrum of coexisting approaches: from orthodox game theory via behavioural game theory, bounded rationality and economic psychology to experimental economics. There are plenty of new models and insights but the book also illustrates the boundaries of what we know today and explains the frontiers of tomorrow. The articles were written in honour of Werner Güth.

This volume contains sixteen original articles documenting recent progress in understanding strategic behaviour. In their variety they reflect an entire spectrum of coexisting approaches: from orthodox game theory via behavioural game theory, bounded rationality and economic psychology to experimental economics. There are plenty of new models and insights but the book also illustrates the boundaries of what we know today and explains the frontiers of tomorrow. The articles were written in honour of Werner Güth.

This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full papers and 29 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 876 submissions. These nine-volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2023); Advanced Processes of Mathematics and Computing Models in Complex Computational Systems (ACMC 2023); Artificial Intelligence supported Medical data examination (AIM 2023); Advanced and Innovative web Apps (AIWA 2023); Assessing Urban Sustainability (ASUS 2023); Advanced Data Science Techniques with applications in Industry and Environmental Sustainability (ATELIERS 2023); Advances in Web Based Learning (AWBL 2023); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2023); Bio and Neuro inspired Computing and Applications (BIONCA 2023); Choices and Actions for Human Scale Cities: Decision Support Systems (CAHSC-DSS 2023); and Computational and Applied Mathematics (CAM 2023).

Individual Motivation within Groups: Social Loafing and Motivation Gains in Work, Academic, and Sports Teams explores the state of our scientific understanding of when and why individuals are most and least likely to work hard as members of groups and work teams. This book addresses key psychological phenomena such as social loafing, social dilemmas, social facilitation, and ostracism, with each chapter creating connections to related topics such as leadership, performance in learning groups, isolated teams, and more. This volume provides a summary of the field's history, synthesizes related research, and, using the Collective Effort Model and other key motivational theories, looks at the current level of understanding of both motivation losses and gains in groups. Individual Motivation within Groups is a vital resource for social, organizational, and applied psychologists as well as academics and researchers in these fields and related areas such as leadership and team performance. - Explores individual motivation in multiple contexts such as work teams, educational settings, sports teams, and more - Highlights recent research advances, future directions, and linkages with related research areas - Discusses cross-cultural and international implications - Examines factors that detract from and contribute to group motivation/individual motivation within groups

This book focuses on economic bargaining theory. Economic bargaining theory seeks to predict the outcomes of bargaining situations. In such situations, govern ments, ?rms, or individuals share a mutual interest in cooperation; however, they also have con?icting interests regarding the terms of an agreement. A classic ex ample of such a situation is wage bargaining between unions and employers. More commonplace examples also exist. For instance, a discussion between partners on how to spend an evening can be understood as a bargaining situation. Economic bargaining theory explores the relationship between bargaining situ ations and the outcomes of the bargaining. Economists have two primary reasons to show interest in this relationship. The ?rst reason is that many important human interactions, including economic interactions, are bargaining situations. The second reason is that the understanding of these situations may inform the economic theory of markets. The tool utilized in this study is the mathematical theory of games. Predictions for bargaining outcomes are developed by modeling the bargaining situation as a strategic game and using game theoretic equilibrium concepts in order to solve the game. In this approach, the speci?c identi?ed bargaining outcome depends on the assumptions underlying the model. The neoclassical and fundamental assumption is that of rational agents—called economic men—who strive to maximize their utility based on stable preferences.

We make decisions every day. Yet we are sometimes perplexed by these decisions and the decisions of others. To complicate things further, we live in an age where there are more things to choose from than ever before the Internet is transforming our choices and making us more accountable for them: what we choose is recorded, modelled and used to predict our future behaviour. So are we in a position to make better choices today than we were a decade ago? Certainly there are some who believe so. Psychologists claim we are subject to hidden mental processes that lead us to one thing rather than another; economists offer predictions about what people will buy; and some philosophers claim that our choices echo our evolutionary past. Are these claims merited? Do they reflect the beginnings of a new science of choice? This book offers a critical overview of these and other claims, showing where they are justified and where they are exaggerated. It will be an essential reference for anyone interested in whether science can help us to understand both the ways people make choices in their everyday lives and how these may be changing.

Have you ever wanted to know which games to use in your classroom, library, or afterschool program, or even at home? Which games can help teach preschoolers, K-12, college students, or adults? What can you use for science, literature, or critical thinking skills? This book explores 100 different games and how educators have used the games to teach - what worked and didn't work and their tips and techniques. The list of 100 goes from A to Z Safari to Zoombinis, and includes popular games like Fortnite, Call of Duty: Modern Warfare, and Minecraft, as well as PC, mobile, VR, AR, card and board games.

A microfluidic biochip is an engineered fluidic device that controls the flow of analytes, thereby enabling a variety of useful applications. According to recent studies, the fields that are best set to benefit from the microfluidics technology, also known as lab-on-chip technology, include forensic identification, clinical chemistry, point-of-care (PoC) diagnostics, and drug discovery. The growth in such fields has significantly amplified the impact of microfluidics technology, whose market value is forecast to grow from $4 billion in 2017 to $13.2 billion by 2023. The rapid evolution of lab-on-chip technologies opens up opportunities for new biological or chemical science areas that can be directly facilitated by sensor-based microfluidics control. For example, the digital microfluidics-based ePlex system from GenMarkDx enables automated disease diagnosis and can bring syndromic testing near patients everywhere. However, as the applications of molecular biology grow, the adoption of microfluidics in many applications has not grown at the same pace, despite the concerted effort of microfluidic systems engineers. Recent studies suggest that state-of-the-art design techniques for microfluidics have two major drawbacks that need to be addressed appropriately: (1) current lab-on-chip systems were only optimized as auxiliary components and are only suitable for sample-limited analyses; therefore, their capabilities may not cope with the requirements of contemporary molecular biology applications; (2) the integrity of these automated lab-on-chip systems and their biochemical operations are still an open question since no protection schemes were developed against adversarial contamination or result-manipulation attacks. Optimization of Trustworthy Biomolecular Quantitative Analysis Using Cyber-Physical Microfluidic Platforms provides solutions to these challenges by introducing a new design flow based on the realistic modeling of contemporary molecular biology protocols. It also presents a microfluidic security flow that provides a high-level of confidence in the integrity of such protocols. In summary, this book creates a new research field as it bridges the technical skills gap between microfluidic systems and molecular biology protocols but it is viewed from the perspective of an electronic/systems engineer.