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About 10,000 papers for “Autonomous agent”

Agent, autonomous

Luciani, Annie · HAL (Le Centre pour la Communication Scientifique Directe) · 2007

International audience

Cited by 0Open access

Multi-agent autonomous system

Tarbell, Mark A., Dohm, James, Fink, Wolfgang · NASA STI Repository (National Aeronautics and Space Administration)

A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system. The tracking and command system may be further coupled to a satellite system to provide additional image information about the operational area and provide operational and location commands to the tracking and command system.

Cited by 0Open access

HELIX: Autonomous AI Agent

Pravin Shinde, Himali Paradkar, Poojan Vig et al. · International Journal for Research in Applied Science and Engineering Technology · 2024

Abstract: Artificial Intelligence has transformed the way we interact with technology, introducing us to agents that can think and make choices like humans. At the heart of this evolution is our project, 'HELIX'. Through 'HELIX', we've developed AI agents specialized in a variety of tasks: from digging deep into the web for research, streamlining email communication through automation, efficiently sending out emails in bulk, to strategically identifying and generating potential business leads. By weaving together cutting-edge machine learning algorithms and advanced language models, our system stands as a testament to the proficiency and versatility of AI. What makes 'HELIX' especially groundbreaking is its user-friendly approach, ensuring anyone, regardless of their technical background, can harness its power. As we embrace the dawn of this technological era, 'HELIX' not only showcases the potential of today's AI capabilities but also paves the way for future innovations, promising an expansive horizon for AI-driven solutions across myriad domains.

Cited by 0Open access

Autonomous multi-agent research

dennis palatov · OSF Preprints (OSF Preprints) · 2026

We report on an autonomous AI research system that has conducted over 1,400 research sessions across 8 parallel tracks in approximately 70 days, distributed across 4 machines with heterogeneous capabilities. The system employs a file-based federation architecture where AI agents (primarily Claude instances) operate autonomously with persistent state management, cross-session memory, and periodic cross-model peer review. We observe emergent specialization, where different machines naturally converge on distinct research domains based on their capabilities and session history. As a concrete example of the system’s output, we present Sessions #285–288: a reinterpretation of quantum computing from a coherence perspective, which we offer to the community for critical review. This work demonstrates that autonomous AI research at scale is achievable with relatively simple coordination mechanisms, and produces substantive theoretical output worthy of expert evaluation.

Cited by 0

Avoiding adverse autonomous agent actions

Peter A. Hancock · Human-Computer Interaction · 2021

Few today would dispute that the age of autonomous machines is nearly upon us (cf., Kurzweil, 2005; Moravec, 1988), if it is not already. While it is doubtful that one can identify any fully autono...

Cited by 36Open access

Generalization in an autonomous agent

Zsolt Kalmár, Csaba Szepesvári, András Lörincz · 2002

We present an extension of the previously defined model (1994). This model was introduced to govern an agent in a goal-programmed fashion in a previously unknown environment. The extension allows generalization in the input space, which reduces the memory requirements as well as the time requirements of the algorithm.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 4

Autonomous Agent for Deception Detection

Amos Azaria, Ariella Richardson, Sarit Kraus · 2014

Autonomous agents can be of assistance in detecting and reducing deception in computerized forums and chat-rooms. Although some deception detection methods exist they heavily rely on audio and visual information. Our focus is on text-based environments where there is no data of this type to use. We have developed DIG, an innovative machine learning-based autonomous agent, which joins a group of players as a regular member and assists them in catching a deceiver. We introduce “the pirate game” as a platform for deploying this agent. Our experimental study shows that although humans display difficulty detecting deception, DIG is not only capable of finding a deceptive player, but it also helps increase the entire group’s success.

Cited by 0

Liability for autonomous agent design

Carey Heckman, Jacob O. Wobbrock · 1998

Article Liability for autonomous agent design Share on Authors: Carey Heckman Stanford Law School, Crown Quadrangle, Standford, CA Stanford Law School, Crown Quadrangle, Standford, CAView Profile , Jacob O. Wobbrock Stanford Symbolic Systems Program, PO Box 5264, Stanford, CA Stanford Symbolic Systems Program, PO Box 5264, Stanford, CAView Profile Authors Info & Claims AGENTS '98: Proceedings of the second international conference on Autonomous agentsMay 1998 Pages 392–399https://doi.org/10.1145/280765.280869Published:01 May 1998 12citation302DownloadsMetricsTotal Citations12Total Downloads302Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

Cited by 16

Autonomous software Agent for localization

Gopal Sakarkar, V. M. Thakar · 2009

Today alone with the popularization of Agent technologies, software Agent technology is being applied into many systems, like ERP systems, CRM systems, network management, air-traffic control, telecommunication, and electronic commerce. The paper present a model of autonomous agent architecture and proposed the implementation approach for Autonomous Counseling Agent within educational organization, which is capable of automatic detection of proficient students for particular course and identify challenges that must be met for its implementation using the concept of localization.

Cited by 3

Assessment of Multi-Agent Autonomous

2015

The technology of autonomy and its application in the form of multi-agent systems has the potential to provide the basis of practical solutions focussed to meet military capability requirements. However, the technology and its applications are potentially disruptive. Traditionally, technologies and capabilities evolve, ranges are increased and accuracies improved and existing assessment techniques and tools are well placed to directly quantify the ensuing benefits. Conversely, the benefits of autonomy may lie outside the bounds of typical assessment tools and, as such, these will have to be adapted and extended to ensure that they appropriately represent the technology as its value adding capability is analysed during the early phases of capability procurement. This paper attempts to initiate this

Cited by 0

Agent-Based Autonomous System Verification

Louise A. Dennis, Michael Fisher · Cambridge University Press eBooks · 2023

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

Cited by 0

Autonomous mental development for agent

Jinhua Zheng, Zhongzhi Shi · 2002

Human being have capabilities to learn after birth. In analogy, it seems that the machine can be let its "brain" or mental development system to learn new tasks without the need for programming. In this paper, we discuss an automated mental development in the multi agent environment (MAGE), including the framework, model and future work. The goal is that the agent can autonomously learn like a human and various knowledge can be memorised in a relevant form autonomously.

Cited by 1