Gregg Willcox

• Master of Engineering
• Researcher at Ronin Institute

The present disclosure describes systems and methods for enabling real-time conversational dialog among a large population of networked human users while facilitating convergence on groupwise decisions, insights, and solutions, and amplifying collective intelligence. A collaboration server running a collaboration application is provided, wherein th...

Conversational Swarm Intelligence (CSI) is an AI-facilitated method for enabling real-time conversational deliberations and prioritizations among networked human groups of potentially unlimited size. Based on the biological principle of Swarm Intelligence and modelled on the decision-making dynamics of fish schools, CSI has been shown in prior stud...

Conversational Swarm Intelligence (CSI) is an AIpowered communication and collaboration technology that allows large, networked groups (of potentially unlimited size) to hold thoughtful conversational deliberations in real-time. Inspired by the efficient decision-making dynamics of fish schools, CSI divides a human population into a set of small su...

Conversational Swarm Intelligence (CSI) is an AI-powered communication and collaboration technology that allows large, networked groups (of potentially unlimited size) to hold thoughtful conversational deliberations in real-time. Inspired by the efficient decision-making dynamics of fish schools, CSI divides a human population into a set of small s...

Systems and methods for amplifying the intelligence of networked human populations, maximizing the accuracy of collaborative forecasts and group insights. This includes systems and methods for sending and presenting a forecasting query for a future event to a plurality of participants, each using a networked computing device, the forecasting query...

Disclosed are systems and methods for computer-moderated collaborative estimation among a population of human participants using a plurality of networked computing devices. A query may be presented to participants for collecting collaborative responses. The population of users may each set an initial estimation response to the prompt during an init...

Swarm Intelligence (SI) is a natural phenomenon that enables biological groups to amplify their combined intellect by forming real-time systems. Artificial Swarm Intelligence (or Swarm AI) is a technology that enables networked human groups to amplify their combined intelligence by forming similar systems. In the past, swarm-based methods were cons...

Real-time conversational deliberation is a critical groupwise method for reaching decisions, solving problems, evaluating priorities, generating ideas, and producing insights. Unfortunately, real-time conversation is difficult to scale, losing effectiveness in groups above 5–7 members. Conversational Swarm Intelligence (CSI) is a new method modeled...

Conversational Swarm Intelligence (CSI) is a new communication technology that enables large, networked groups (25 to 2500 people) to hold real-time conversational deliberations online. Modeled on the dynamics of biological swarms, CSI enables the reasoning benefits of small-groups with the collective intelligence benefits of large-groups. In this...

Conversational Swarm Intelligence (CSI) is a new technology that enables human groups of potentially any size to hold real-time deliberative conversations online. Modeled on the dynamics of biological swarms, CSI aims to optimize group insights and amplify group intelligence. It uses Large Language Models (LLMs) in a novel framework to structure la...

The describes systems and methods for large-scale conversational deliberation and conversational collective intelligence with selectable levels of synchrony. In some aspects, a collaboration server defines a plurality of sub-groups of networked computing devices (e.g., human participants). Each subgroup may be associated with a conversational surro...

The present disclosure describes systems and methods for enabling real-time conversational dialog among a large population of networked human users while facilitating convergence on groupwise decisions, insight extraction, and solutions, and amplifying collective intelligence. A plurality of computing devices associated with members of a population...

Conversational Swarm Intelligence (CSI) is a new method for enabling large human groups to hold real-time networked conversations using a technique modeled on the dynamics of biological swarms. Through the novel use of conversational agents powered by Large Language Models (LLMs), the CSI structure simultaneously enables local dialog among small de...

We introduce Mindmix (also called hyperswarm ranking) a new collective intelligence technology based on the biological principle of Swarm Intelligence, and show that it enables networked human groups to collaboratively rank independent sets of items with significantly higher accuracy than traditional methods. While prior approaches, such as survey-...

Abstract—When generating insights from human groups, conversational deliberation is a key method for exploring issues, surfacing ideas, debating options, and converging on solutions. Unfortunately, real-time conversations are difficult to scale, losing effectiveness in groups above 4 to 7 members. Conversational Swarm Intelligence (CSI) is a new te...

System and methods for amplifying the accuracy of group forecasts using interactive behavioral polling with perturbation stimulus and analysis. Keywords: Collective Intelligence, Swarm Intelligence

Conversational Swarm Intelligence (CSI) is a new method for enabling large human groups to hold real-time networked conversations using a technique modeled on the dynamics of biological swarms. Through the novel use of conversational agents powered by Large Language Models (LLMs), the CSI structure simultaneously enables local dialog among small de...

The biological phenomenon of Swarm Intelligence (SI) enables social species to converge on group decisions by interacting in real-time systems. Studied in schools of fish, bee swarms, and bird flocks, biologists have shown for decades that SI can greatly amplify group intelligence in natural systems. Artificial Swarm Intelligence (ASI) is a compute...

In the domain of AI-power collective intelligence, innovative system and methods are described for amplifying the accuracy of forecasts generated by human populations by curating optimized sub-populations through an intelligent selection process.

Artificial Swarm Intelligence (ASI) is a powerful method for amplifying the collective intelligence of decentralized human teams and quickly improving their decision-making accuracy. Previous studies have shown that ASI tools, such as the Swarm ® software platform, can significantly amplify the collaborative accuracy of decentralized groups across...

Artificial Swarm Intelligence (ASI) is a powerful method for harnessing the collective intelligence of decentralized human teams and amplifying their decision-making accuracy. Previous studies have shown that ASI collaboration environments, such as the Swarm® software platform, can significantly increase the collaborative accuracy of decentralized...

Artificial Swarm Intelligence (ASI) is a powerful method for amplifying the collective intelligence of decentralized human teams and quickly improving their decision-making accuracy. Previous studies have shown that ASI tools, such as the Swarm® software platform, can significantly amplify the collaborative accuracy of decentralized groups across a...

Systems and methods for amplifying the collective intelligence of networked human groups engaged in collaborative forecasting of future events having two possible outcomes. During a real-time session a computing device for each user displays a forecasting prompt and a dynamic user interface which includes a user-manipulatable marker moved by the us...

Systems and methods for amplifying the intelligence of networked human populations, maximizing the accuracy of collaborative forecasts and group insights. This includes systems and methods for sending and presenting a forecasting query for a future event to a plurality of participants, each using a networked computing device, the forecasting query...

Systems and methods for obtaining dynamic behavioral data from a plurality of users of a plurality of computing devices in response to a stimuli, and using the dynamic behavioral data to make an optimized forecast regarding the outcome of a future event. During a first time period the system collects behavioral data of the user interaction with the...

Artificial Swarm Intelligence (ASI) is a recently developed method that enables networked human groups to converge on more accurate group forecasts, estimations, and decisions. While ASI can significantly amplify collective intelligence, the process struggles when too large of a majority supports an inaccurate view, even if their average confidence...

Fast and effective methods are described for amplifying the accuracy of group forecasts generated using the collective intelligence of human populations, enhanced by curating optimized sub-populations through an intelligent selection process.

Various approaches have been explored to enable AI agents to assist human users in complex tasks. To date, these systems have been narrowly designed to tackle specific rather than general tasks, are brittle when taken outside of controlled environments, or can only be trained by technically proficient users. In this paper we propose a new type of g...

Swarm Intelligence (SI) is a biological phenomenon that enables social species to reach group decisions by converging as real-time systems. Studied in fish schools, bird flocks, and bee swarms, SI has been shown to greatly amplify group intelligence. Artificial Swarm Intelligence (ASI) is recently developed method that enables networked human group...

Swarm Intelligence (SI) is a natural process that has been shown to amplify decision-making accuracy in many social species, from schools of fish to swarms of bees. Artificial Swarm Intelligence (ASI) is a technology that enables similar benefits in networked human groups. The present research tests whether ASI enables human groups to reach more ac...

Artificial Swarm Intelligence (ASI) is recently developed method that enables networked human groups, moderated by real-time swarming algorithms, to achieve amplified collective intelligence. This paper introduces a new ASI architecture called a Hyperswarm that enables a confident minority to more easily sway an unsure majority. A rigorous simulati...

Systems and methods for amplifying the intelligence of networked human populations is described, maximizing the accuracy of collaborative forecasts and group insights. This includes systems and methods for sending and presenting a forecasting query for a future event to a plurality of participants, each using a networked computing device, the forec...

In the domains of human forecasting and collective intelligence, a system and methods are described for eliciting from a user a probabilistic indication of the likelihood of two possible outcomes of a future event. During a forecasting session a user manipulates a wager marker on a graphical user interface displayed on a display, where the wager ma...

Groups often struggle to reach decisions, especially when populations are strongly divided by conflicting views. Traditional methods for collective decision-making involve polling individuals and aggregating results. In recent years, a new method called Artificial Swarm Intelligence (ASI or Swarm AI) has been developed that enables networked human...

The aggregation of individual personality assessments to predict team performance is widely accepted in management theory but has significant limitations: the isolated nature of individual personality surveys fails to capture much of the team dynamics that drive real-world team performance. Artificial Swarm Intelligence (ASI)-a technology that enab...

The aggregation of individual personality assessments to predict team performance is widely accepted in management theory but has significant limitations: the isolated nature of individual personality surveys fails to capture much of the team dynamics that drive realworld team performance. Artificial Swarm Intelligence (ASI)—a technology that enabl...

Swarm Intelligence (SI) is a natural phenomenon in which social organisms amplify their decision-making abilities by forming real-time systems that converge on optimized solutions. It has been studied extensively in schools of fish, flocks of birds, and swarms of bees. In recent years, a new technology called Artificial Swarm Intelligence (ASI) has...

New technologies enable distributed human teams to form real-time systems modeled after natural swarms. Often referred to as Artificial Swarm Intelligence (ASI) or simply “human swarming”, these real-time systems have been shown to amplify group intelligence across a wide range of tasks, from handicapping sports to forecasting financial markets. Wh...

Sales forecasts are critical to businesses of all sizes, enabling teams to project revenue, prioritize marketing, plan distribution, and scale inventory levels. Research shows, however, that sales forecasts of new products are highly inaccurate due to scarcity of historical data and weakness in subjective judgements required to compensate for lack...

Many species reach group decisions by deliberating in real-time systems. This natural process, known as Swarm Intelligence (SI), has been studied extensively in a range of social organisms, from schools of fish to swarms of bees. A new technique called Artificial Swarm Intelligence (ASI) has enabled networked human groups to reach decisions in syst...

Human-in-the-loop (HITL) AI may enable an ideal symbiosis of human experts and AI models, harnessing the advantages of both while at the same time overcoming their respective limitations. The purpose of this study was to investigate a novel collective intelligence technology designed to amplify the diagnostic accuracy of networked human groups by f...

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Many social species amplify their decision-making accuracy by deliberating in real-time closed-loop systems. Known as Swarm Intelligence (SI), this natural process has been studied extensively in schools of fish, flocks of birds, and swarms of bees. The present research looks at human groups and tests their ability to make financial forecasts by wo...

In the natural world, Swarm Intelligence (SI) is a well-known phenomenon that enables groups of organisms to make collective decisions with significantly greater accuracy than the individuals could do on their own. In recent years, a new AI technology called Artificial Swarm Intelligence (ASI) has been developed that enables similar benefits for hu...

—The aggregation of individual personality tests to predict team performance is widely accepted in management theory but has significant limitations: the isolated nature of individual personality surveys fails to capture much of the team dynamics that drive real-world team performance. Artificial Swarm Intelligence (ASI), a technology that enables...

Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of...

Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of...

Swarm Intelligence (SI) is a natural phenomenon that enables social species to quickly converge on optimized group decisions by interacting as real-time closed-loop systems. This process, which has been shown to amplify the collective intelligence of biological groups, has been studied extensively in schools of fish, flocks of birds, and swarms of...

Group decision-making is strengthened by the diverse knowledge and perspectives that participants bring and yet teams often fail to capitalize on their diversity. This paper shows how Swarm AI, a novel collaborative intelligence technology modeled on the decision-making process of honey bee swarms, enables networked human groups to more effectively...

Group decision-making is strengthened by the varied knowledge and perspectives that each member brings, yet teams often fail to capitalize on their diversity. This paper describes how Swarm AI, a novel collaborative intelligence technology modeled on the decision-making process of honey bee swarms, enables networked human groups to more effectively...

Artificial Swarm Intelligence (ASI) is a hybrid AI technology that enables distributed human groups to "think together" in real-time systems modeled on natural swarms. Prior research has shown that by forming "human swarms," networked groups can substantially amplify their combined intelligence and produce significantly more accurate forecasts than...

Swarm Intelligence (SI) is a natural phenomenon in which biological groups amplify their collective intelligence by forming dynamic systems. It has been studied extensively in bird flocks, fish schools, and bee swarms. In recent years, AI technologies have enabled networked human groups to form systems modeled on natural swarms. Referred to as Arti...

Swarm Intelligence is natural phenomenon that enables social animals to make group decisions in real-time systems. This process has been deeply studied in fish schools, bird flocks, and bee swarms, where collective intelligence has been observed to emerge. The present paper describes Swarm.AI —a collaborative technology that enables swarms of human...

Abstract. Sales forecasts are critical to businesses of all sizes, enabling teams to project revenue, prioritize marketing, plan distribution, and scale inventory levels. Research shows, however, that sales forecasts of new products are highly inaccurate due to scarcity of historical data and weakness in subjective judgments required to compensate...

Swarm Intelligence is natural phenomenon that enables social animals to make group decisions in real-time systems. This process has been deeply studied in fish schools, bird flocks, and bee swarms, where collective intelligence has been observed to emerge. The present paper describes swarm.ai—a collaborative technology that enables swarms of humans...

The aggregation of individual personality tests to predict team performance is widely accepted in management theory but has significant limitations: the isolated nature of individual personality surveys fails to capture much of the team dynamics that drive real-world team performance. Artificial Swarm Intelligence (ASI), a technology that enables n...

Swarm Intelligence (SI) is a biological phenomenon in which groups of organisms amplify their combined intelligence by forming real-time systems. It has been studied for decades in fish schools, bird flocks, and bee swarms. Recent advances in networking and AI technologies have enabled distributed human groups to form closed-loop systems modeled af...

Swarm Intelligence (SI) is a biological phenomenon in which groups of organisms amplify their combined brainpower by forming real-time systems. It has been studied for decades in fish schools, bird flocks, and bee swarms. Recent advances in networking and AI technologies have enabled distributed human groups to form closed-loop systems modeled afte...

In the natural world, Swarm Intelligence (SI) is a commonly occurring process in which biological groups amplify their collective intelligence by forming closed-loop systems. It is well known in schools of fish, flocks of bird, and swarms of bees. In recent years, new AI technologies have enabled networked human groups to form systems modeled after...

In the natural world, many social species amplify their collective intelligence by forming real-time closed-loop systems. Referred to as Swarm Intelligence (SI), this phenomenon has been rigorously studied in schools of fish, flocks of birds, and swarms of bees. In recent years, technology has enabled human groups to form real-time closed-loop syst...

Artificial Swarm Intelligence (ASI) is a method for amplifying the collective intelligence of human groups by connecting networked participants into real-time systems modeled after natural swarms and moderated by AI algorithms. ASI has been shown to amplify performance in a wide range of tasks, from forecasting financial markets to prioritizing con...