(1 + ε)-approximate sparse recovery
Eric Price, David P. Woodruff
FOCS 2011
This paper describes a toolkit for building multiagent autonomic systems. The IBM Agent Building and Learning Environment (ABLE) provides a lightweight Java™ agent framework, a comprehensive JavaBeans™ library of intelligent software components, a set of development and test tools, and an agents platform. We describe a series of agents built using ABLE components aha present three case studies of applications using the ABLE toolkit. The Autotune agent is a closed-loop controller agent that supports hierarchical distributed control. The Subsumption agent defines specific behaviors or strategies and can be plugged into a multiagent subsumption infrastructure. The Autonomic agent architecture features sensors and effectors for interacting with the external environment, layers of reflexive, reactive, and adaptive subsumption agents, components that dynamically model the autonomic system itself and its environment, and components for emotions, planning and executive-level decision-making. By using the ABLE component library to build agents running on the ABLE distributed agent platform, we discuss how we can incrementally add new behaviors and capabilities to intelligent, autonomic systems.
Eric Price, David P. Woodruff
FOCS 2011
Rajeev Gupta, Shourya Roy, et al.
ICAC 2006
Xiaozhu Kang, Hui Zhang, et al.
ICWS 2008
B.K. Boguraev, Mary S. Neff
HICSS 2000