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Autonomous system (mathematics)

About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.


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Proceedings ArticleDOI
Tomoko Itao1, T. Nakamura, M. Matsuo, Tatsuya Suda, Tomonori Aoyama 
28 Jan 2002
TL;DR: The Jack-in-the-Net (Ja-Net) architecture for adaptive services in a large scale, open network environment using biologically inspired concepts to create/emerge services adaptively according to dynamically changing network conditions and user preferences is described.
Abstract: In this paper, we describe the Jack-in-the-Net (Ja-Net) architecture for adaptive services in a large scale, open network environment. Using biologically inspired concepts, Ja-Net achieves built-in capabilities to create/emerge services adaptively according to dynamically changing network conditions and user preferences. In Ja-Net, a service is implemented by a collection of autonomous system components called cyber-entities. Cyber-entities are autonomous with simple behaviors and interact with each other using Ja-NetACL (Agent Communication Language) to jointly provide a service. For instance, cyber-entities migrates from node to node and find a new cyber-entity to interact with. Also, cyber-entities may establish a relationship with interaction partners to form a group to provide a service. The strength of the relationship between cyber-entities is a measure for the usefulness of the relationship and is adjusted based on the level of satisfaction indicated by the user who received the service. As relationships grow, cyber-entities self-organize by reducing the number of cyber-entities to interact with based on the strength of the relationship. Consequently, a group of cyberentities emerge to provide services that users prefer. We implemented a prototype of Ja-Net to verify the feasibility of autonomous interaction and service emergence features of Ja-Net.

21 citations

Book ChapterDOI
TL;DR: In this paper, the authors explore the legal implications of autonomous weapon systems and the potential challenges such systems might present to the laws governing weaponry and the conduct of hostilities, with a particular focus on the unique legal challenges posed by autonomous weapons.
Abstract: This chapter explores the legal implications of autonomous weapon systems and the potential challenges such systems might present to the laws governing weaponry and the conduct of hostilities. Autonomous weapon systems are weapons that are capable of selecting and engaging a target without further human operator involvement. Although such systems have not yet been fully developed, technological advances, particularly in artificial intelligence, make the appearance of such systems a distinct possibility in the years to come. Given such a possibility, it is essential to look closely at both the relevant technology involved in these cutting-edge systems and the applicable law. This chapter commences with an examination of the emerging technology supporting these sophisticated systems, by detailing autonomous features that are currently being designed for weapons and anticipating how technological advances might be incorporated into future weapon systems. A second aim of the chapter is to describe the relevant law of armed conflict principles applicable to new weapon systems, with a particular focus on the unique legal challenges posed by autonomous weapons. The legal analysis will outline how autonomous weapon systems would need to be designed for them to be deemed lawful per se, and whether the use of autonomous weapons during hostilities might be prohibited in particular circumstances under the law of armed conflict. The third and final focus of this chapter is to address potential lacunae in the law dealing with autonomous weapon systems. In particular, the author will reveal how interpretations of and issues related to subjectivity in targeting decisions and overall accountability may need to be viewed differently in response to autonomy.

21 citations

Proceedings ArticleDOI
23 Mar 2009
TL;DR: In this paper, the development and building of a fully functioning test bed UAV platform is illustrated, which includes an enhanced hardware in the loop simulation (HILS) system to facilitate the development of the flight control system.
Abstract: Automatic control of Unmanned Aerial Vehicles (UAVs) has been a growing area of research in aerospace technology for a long time, yet this area needs a great deal of development in order to get a reliable autonomous system capable of performing all types of maneuvers with high degree of stability and desired performance. In this paper, the development and building of a fully functioning test bed UAV platform is illustrated. The test-bed includes an enhanced hardware in the loop simulation “HILS” system to facilitate the development of the flight control system (FCS). Furthermore, the design of the guidance laws, autopilots implementation on the embedded system were integrated with the Hardware in the Loop Simulation (HILS). Finally, trajectory following results were demonstrated.

21 citations

Book ChapterDOI
20 Dec 2005
TL;DR: Systems that are able to perform complex and flexible actions (operations) in an autonomous manner are identified as complex dynamical systems, autonomous multiagent systems, or swarm intelligent systems.
Abstract: Intelligent systems for many real life problems can be modeled by systems of complex objects and their parts changing and interacting over time. The objects are usually linked by certain dependencies, can cooperate between themselves and are able to perform complex and flexible actions (operations) in an autonomous manner. Such systems are identified as complex dynamical systems [2,40], autonomous multiagent systems [20,40], or swarm intelligent systems (see, e.g., [28,7]).

20 citations

Journal Article
TL;DR: Being a real-time and robust autonomous system with high performances, cyber-physical systems are a kind of novel intelligent complex systems with different scales of computation and physical components tightly integrated and interacted under the future networks.

20 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202315
202228
202167
202081
2019101
201863