Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 69 for “"Collective intelligence"”.
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Essays on collective intelligence
… three essays that advance our understanding of collective-intelligence: how it works, how it can be used, and how it can be augmented. I combine theoretical and empirical work, spanning qualitative inquiry, lab experiments, and design, exploring how novel ways of organizing, enabled by …
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Modeling the structure of collective intelligence
… microscopic level in experiments in measuring collective intelligence. The influence modeling makes it possible to understand how a group could perform better than an individual. It also allows for the monitoring of the status of the problem solution, and makes it possible to direct group …
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Unlocking Collective Intelligence in Decentralized AI
… the transformative potential of artificial intelligence, its utilization in societal sectors lags behind other industries. For example in healthcare, data privacy and lack of incentives and trust in the system prevent collaboration on a large scale. This necessitates the development of …
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Control and collective intelligence of multi-agent system
Distributed artificial intelligence (DAI) and multi-agent system (MAS) has recently gained increasing interest due to its vast applications in real-world problems. Inspired by the natural MAS, this thesis primarily focuses on the study of the collective intelligence and the joint behavior of MAS, …
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Designing with data : collective intelligence in urban design
… on the "smart citizen" to effectively engage the collective throughout a collaborative urban design process. This thesis surveys a number of significant recent projects and studies their goals, proposed frameworks and interventions, ingredients used in their loT solutions as well as potential …
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Experimental Democracy - Collective Intelligence for a Diverse and Complex World
My dissertation is motivated by the following observation: while we care very much about the outcomes of the democratic process, there is widespread uncertainty about ex ante how to produce them - and quite often there is also disagreement and uncertainty about what they are in the first place. …
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Designing Generative Multi-Agent Systems for Collective Intelligence and Resilience
… performance and the potential emergence of collective intelligence characterized functionally as leadership, debate, and feedback. However, expanding multi-agent systems to include agents beyond trusted boundaries introduces the risks of malicious agents that provide incorrect or harmful …
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Mediators: Participatory Collective Intelligence for Multi-Stakeholder Urban Decision-Making
… a computational framework for AI-augmented collective decision-making in urban settings. Based on real-world case studies, the core decision-making process is abstracted as a multiplayer board game modeling the check-and-balance dynamics among stakeholders with differing values. Players are …
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Towards stable principles of collective intelligence under an environment-dependent framework
… individuals can often achieve higher levels of intelligence than the group members working alone. Despite these expectations of group advantage, many examples of collective failure have been documented--from market crashes to the spread of false and harmful rumors. To reconcile these results, a …
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Collective intelligence in financial markets : does consumer sentiment influence valuation of financial products?
This paper examines the relationship between the public mood associated with the economies of Italy, Spain and Greece, and prices of Credit Default Swaps on sovereign bonds of aforementioned countries. The effect of the changes in the public mood was measured by Granger causality tests and linear …
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The more the merrier? : understanding the effect of group size on collective intelligence
This dissertation explores how group size affects collective intelligence. It is composed of three quantitative studies. The first study explores how time pressure in small groups (size 4) and large groups (size 20) affected collective intelligence. The results showed that the large groups …
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Collective intelligence at Enron during the California energy crisis : uncovering collaborative innovation networks using social network analysis
As interaction takes place between individuals, relationships are formed and collaboration and innovation emerge. In this thesis I have applied Coolfarming (Gloor, 201 lb), a social network analysis method using Condor, a software tool to quantify communication patterns based on various data …
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Who, When, How (Not) to Imitate? The Role of Imitation in Collective Intelligence, and Its Implications on the Design of Socio-Technical Systems
Humans collectively demonstrate coordination and progress on a massive scale, building, adapting, and thriving under the rules of different institutions. Researchers posit social learning as a mechanism for overcoming individual limitations, quickly adapting to environments, passing knowledge …
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Medication recommendations vs. peer practice in pediatric levothyroxine dosing : a study of collective intelligence from a clinical data warehouse as a potential model for clinical decision support
… to bridge the knowledge gap. CDWs contain the collective intelligence of various contributors (i.e. clinicians, administrators, etc.) where each data entry provides information regarding medical care for a patient in the real world. CDWs have the potential to provide information as current as …
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Deliberation and Decision Making Online: Evaluating Platform Design
… deliberation. The fields of informal logic and collective intelligence have been influential on the developments of these platforms. But the platforms and the perspectives that influence them have been neglected by wider research into online deliberation. The thesis seeks to address the …
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A CAD tool for supermind design
… ever before. This accelerated the prominence of collective intelligence as an attribute of groups and systems of individuals collaborating, or competing together to innovate and solve complex problems. We define these systems as superminds. In this thesis, I present a CAD (Computer-Aided Design) …
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A rational choice framework for collective behavior
… individual experiences and agendas. When are collectives able to function and thrive despite these challenges? In this thesis I propose a theoretical framework for reasoning about collective intelligence--the ability of people to accomplish their shared goals together. A simple result from the …
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Health Recommender Systems for Behavior Change: Exploring their Potential for Smoking Cessation
… used method for calculating relevance is the “collective intelligence” approach. This approach uses algorithms to generate a user profile for each user (e.g., using demographic variables) and calculate how relevant a specific item is based on the given relevance of that item for users with …
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Semantic technologies:from niche to the mainstream of Web 3? A comprehensive framework for web Information modelling and semantic annotation
… a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, …
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Superfuture: How global superminds can use immersive experiences to build a positive future
… can use some of the same methods to: 1) use collective intelligence and knowledge share 2) support a culture of creative thinking 3) design future risk response strategies through visioning and foresight strategy 4) build business strategies that include well-being of their employees, …
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