Thesis Format
Monograph
Degree
Doctor of Philosophy
Program
Electrical and Computer Engineering
Collaborative Specialization
Artificial Intelligence
Supervisor
Kenneth McIsaac
2nd Supervisor
AbdulMutalib Wahaishi
Co-Supervisor
Abstract
In a dynamic decentralized computing environment, each entity (such as process, component, database, knowledge-base, and so on.), possesses various types of intelligence, such as data, information, and knowledge, and works with a specified level of autonomy. Nevertheless, the intelligences of individual entities or direct collectives of intelligences are insufficient and inadequate to accomplish the purposes of both the individual entity and/or the collective. As a result, organizations participate in collaborative efforts with the goal of sharing their intelligence resources. The collaborative strategy is motivated by a shared objective to accomplish mutual goals while also safeguarding the in interests of each individual organization. Collaborative intelligence, also known as the collaborative approach, is the outcome of the cooperation between scattered intelligences in various companies.
Collaborative intelligence is a new form of intelligence that emerges from the dispersion of intelligences in decentralized environments and refers to the emergence of intelligent behaviour from individual entities in contexts that are frequently observable and supportive. Collaborative intelligence is primarily founded on the concept that the collaborative intelligence of a group is greater than the combined intelligence of its individual members.
While collaboration and intelligence are both crucial elements of collaborative intelligence, the majority of research has generally concentrated on collaboration and on intelligence as a discernible behaviour of an entity rather than an intelligence the entity has. Therefore, it is crucial to develop a deeper understanding of how intelligence facilitates the development of collaborative intelligence that emerges from numerous distributed intelligences focused on the same domain of interest.
The aim of this work is to develop a new framework for collaborative intelligence by leveraging diverse and distributed intelligences, rather than relying on pre-established designs. This involves exploring the core nature of intelligence and developing a new paradigm. This new model of intelligence will be developed on the premise of an ontological view.
Furthermore, alongside the utilization of a new intelligence model for the advancement of collaborative intelligence, the approach of semantic integration will also be applied to construct a framework for collaborative intelligence within a decentralized environment.
This work relies not just on robust and sold theoretical foundations but also features a practical example with design directives and implementation guidelines, highlighting its practicality and efficacy in real-life situations and application domains.
Summary for Lay Audience
Collaborative intelligence requires both intelligence and collaboration, but most research has concentrated more on collaboration than on intelligence. This is the situation even though the term heavily emphasizes intelligence. Furthermore, rather than being an entity’s possession, intelligence has been interpreted as its observable behaviour. Understanding intelligence is thus critically necessary to understanding collaborative intelligence. This collaborative intelligence will result from several distributed intelligences produced for the same domain of interest. Our world is digitizing quickly right now and heading toward a time when artificial intelligence will dominate most aspects of life. This amazing transformation is still ongoing. Each entity, representing an information system, in a dynamic decentralized computing environment has a certain degree of autonomy and a variety of intelligences, such as data, information, and knowledge. These entities are only dimly intelligent, so information systems have to work together to balance their goals and maximize their effectiveness. The intelligence of any entity is a representation of a usually observed environment. But the purpose of the individual and/or the group cannot be accomplished by the individual’s or the direct group’s intelligences alone. The way intelligences are distributed in the environment will lead to the emergence of a new kind of intelligence. We call this kind of intelligence "collaborative". The expression of individual intellect growing into collaborative intelligence is whole and sound in environments that are supported and widely seen. As is evident, the foundation of collaborative intelligence is the idea that the combined intelligence of a group exceeds the individual intelligence of its members. We embark on a research journey that transcends conventional classifications in order to reveal the deep mysteries of intelligence and its manifestations. In this intellectual terrain, we characterize intelligence not only as an observable activity but also as a multi-form, describing an essence that goes beyond behaviour. The core of our work is to provide a new definition of intelligence and to infer its several manifestations. This will build a new framework for collaborative intelligence, one in which such intelligence is produced not from predetermined designs but from the synergistic, varied, and distributed intelligences operating within a common domain of interest, having investigated the basic nature of intelligence and developed a new paradigm.
Recommended Citation
El Asfour, Husam M A MR, "COLLABORATIVE INTELLIGENCE IN DECENTRALIZED ENVIRONMENTS" (2024). Electronic Thesis and Dissertation Repository. 10174.
https://ir.lib.uwo.ca/etd/10174
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.