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HICSS
2005
IEEE
159views Biometrics» more  HICSS 2005»
14 years 1 months ago
A User Controlled Approach to Adjustable Autonomy
This paper describes a framework for collaboration between a user and a multi-agent system to achieve adjustable autonomy. Adjustable autonomy (AA) is when the levels of autonomy ...
Nancy E. Reed
JIRS
2000
144views more  JIRS 2000»
13 years 7 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
ECAL
2007
Springer
14 years 1 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
AGENTS
2000
Springer
13 years 12 months ago
Dynamically altering agent behaviors using natural language instructions
Smart avatars are virtual human representations controlled by real people. Given instructions interactively, smart avatars can act as autonomous or reactive agents. During a real-...
Rama Bindiganavale, William Schuler, Jan M. Allbec...
AISADM
2005
Springer
14 years 1 months ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...