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Chaotic Neurodynamics for Autonomous Agents
IEEE Transactions on Neural Networks, 2005Mesoscopic level neurodynamics study the collective dynamical behavior of neural populations. Such models are becoming increasingly important in understanding large-scale brain processes. Brains exhibit aperiodic oscillations with a much more rich dynamical behavior than fixed-point and limit-cycle approximation allow.
Derek, Harter, Robert, Kozma
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An autonomous spacecraft agent prototype
Proceedings of the first international conference on Autonomous agents - AGENTS '97, 1997This paper describes the New Millennium Remote Agent (NMRA) architecture for autonomous spacecraft control systems. The architecture supports challenging requirements of the autonomous spacecraft domain not usually addressed in mobile robot architectures, including highly reliable autonomous operations over extended time periods in the presence of ...
Barney Pell +7 more
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Robotics and Autonomous Systems, 1990
Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots. These architectures have led to major breakthroughs that promise to revolutionize the study of autonomous agents and perhaps artificial intelligence in general.The new architectures
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Designing Autonomous Agents provides a summary and overview of the radically different architectures that have been developed over the past few years for organizing robots. These architectures have led to major breakthroughs that promise to revolutionize the study of autonomous agents and perhaps artificial intelligence in general.The new architectures
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2020
Recent advances in Artificial Intelligence (AI) along with recent events revolving around the problem of fake news indicate new and critical potential threats to intelligence analysis, defence, security, and, by extension, to modern society in general.
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Recent advances in Artificial Intelligence (AI) along with recent events revolving around the problem of fake news indicate new and critical potential threats to intelligence analysis, defence, security, and, by extension, to modern society in general.
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Multi-agent Planning for Autonomous Agents’ Coordination
2006The two models presented in this paper are suitable for multi-agent planning. The Recursive Petri nets allow the plans modeling (both at the agent and multi-agents levels) and their management when abstraction and dynamic refinement are required. RPN allows. easily. the synchronization of individual agents’ plans.
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2004
Autonomous Speaker Agent is a graphically embodied animated agent (a virtual character) capable of reading plain English text and rendering it in a form of speech, accompanied by the appropriate, natural-looking facial gestures. The system uses lexical analysis and statistical models of facial gestures in order to generate the gestures related to the ...
Šmid, Karlo +2 more
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Autonomous Speaker Agent is a graphically embodied animated agent (a virtual character) capable of reading plain English text and rendering it in a form of speech, accompanied by the appropriate, natural-looking facial gestures. The system uses lexical analysis and statistical models of facial gestures in order to generate the gestures related to the ...
Šmid, Karlo +2 more
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Cognition — Perspectives from Autonomous Agents
Robotics and Autonomous Systems, 1995The predominant paradigm in cognitive science has been the cognitivistic one, exemplified by the “Physical Symbol Systems Hypothesis”. The cognitivistic approach generated hopes, that one would soon understand human thinking — hopes that up till now have still not been fulfilled. It is well- known that the cognitivistic approach, in spite of some early
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Social Intelligence Among Autonomous Agents
Computational & Mathematical Organization Theory, 1999This paper presents a view of social intelligence as a multiple and inter-agent property. On one hand, some fundamental requisites for a theory of mind in society are presented in the paper. On the other, the role of objective social consequences of social action are argued to multiply agents‘ mental properties.
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Dynamic Self-control of Autonomous Agents
2006Being able to trust in a system behavior is of prime importance, particularly within the context of critical applications as embedded or real-time systems. We want to ensure that a multiagent system has a behavior corresponding to what its developers expect. The use of standard techniques to validate a system does not guarantee it against the occurence
Chopinaud, Caroline +2 more
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2011
A new computing paradigm is currently on the spot: interaction based on series of actions. Most of autonomic agent systems (AASs) exploit this type of interaction to self-adjust their autonomous behaviors as a fundamental operational paradigm. At an interaction interface, actions evolve over time, hence series of actions occurs as a royal candidate for
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A new computing paradigm is currently on the spot: interaction based on series of actions. Most of autonomic agent systems (AASs) exploit this type of interaction to self-adjust their autonomous behaviors as a fundamental operational paradigm. At an interaction interface, actions evolve over time, hence series of actions occurs as a royal candidate for
openaire +1 more source