Results 61 to 70 of about 65,814 (240)

Asimovian Adaptive Agents

open access: yes, 2011
The goal of this research is to develop agents that are adaptive and predictable and timely. At first blush, these three requirements seem contradictory.
Gordon, D. F.
core   +1 more source

Multiagent Systems Protection [PDF]

open access: yesAdvances in Software Engineering, 2011
Agent-systems can bring important benefits especially in applications scenarios where highly distributed, autonomous, intelligence, self-organizing, and robust systems are required. Furthermore, the high levels of autonomy and self-organizations of agent systems provide excellent support for developments of systems in which dependability is essential ...
Antonio Muñoz   +2 more
openaire   +1 more source

Study on the Synergistic Effects and Optimization of Flotation Reagent Blends Under Low Reagent Consumption

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Under low reagent dosage, the flotation performance of diesel as a collector was enhanced, and the synergistic mechanism of diesel blended with oleic acid and CTAB was investigated. Results showed that compared to pure diesel, the oleic acid blended system (Blend A) increased clean coal yield by 81.52% to 92.24%, while the CTAB blended system (
Rui Shen, Wei Zhou, Huanhuan Shang
wiley   +1 more source

Stabilization of Heterogeneous Multiagent Systems via Harmonic Control

open access: yesComplexity, 2018
Stabilizing multiagent systems including unstable agents shows the advantage of cooperation. This paper addresses the problem of stabilization of heterogeneous multiagent systems.
Xianzhu Liu, Zhijian Ji, Ting Hou
doaj   +1 more source

Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal   +2 more
wiley   +1 more source

MARKET MAKER AND MAS [PDF]

open access: yesAnnals of the University of Petrosani: Economics, 2015
In the last years, the research of multiagent systems for knowledge and information management has known a significant development. The interest for multiagent systems is in continuous growth due to the multitude of benefits associated with using these ...
ADRIAN VICTOR SĂNDIŢĂ   +1 more
doaj  

Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games [PDF]

open access: yes, 2017
Many artificial intelligence (AI) applications often require multiple intelligent agents to work in a collaborative effort. Efficient learning for intra-agent communication and coordination is an indispensable step towards general AI.
Long, Haitao   +6 more
core   +1 more source

A Survey and Critique of Multiagent Deep Reinforcement Learning

open access: yes, 2019
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the number of applications and methods.
Hernandez-Leal, Pablo   +2 more
core   +1 more source

DeepSeek in Education: Exploring the Transformative Potential of AI‐Driven Educational Intelligence

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The integration of artificial intelligence into education remains challenged by issues of scalability, interpretability, and multimodal adaptability. DeepSeek's AI‐driven educational tools show potential to improve educational applications through advances in reasoning efficiency, lightweight deployment, and multimodal fusion.
Jian Liao, Fan Sun, Yajie Liu, Yuli Hu
wiley   +1 more source

Human-Agent Decision-making: Combining Theory and Practice

open access: yes, 2016
Extensive work has been conducted both in game theory and logic to model strategic interaction. An important question is whether we can use these theories to design agents for interacting with people?
Kraus, Sarit
core   +2 more sources

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