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» Population and Agent Based Models for Language Convergence
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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
EATIS
2009
ACM
13 years 11 months ago
Agent based smart house platform with affective control
In this paper, we describe our work in developing an agent based smart house platform using TAOM4E development methodology and the JADE-platform with the Jadex-extension. In order...
Kuderna-Iulian Benta, Amalia Hoszu, Lucia Vacariu,...
ICSNW
2004
Springer
238views Database» more  ICSNW 2004»
14 years 1 months ago
Knowledge Sifter: Agent-Based Ontology-Driven Search over Heterogeneous Databases Using Semantic Web Services
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...
ALIFE
1998
13 years 7 months ago
Evolution of Linguistic Diversity in a Simple Communication System
This article reports on the current state of our efforts to shed light on the origin and evolution of linguistic diversity using synthetic modeling and arti cial life es. We constr...
Takaya Arita, Yuhji Koyama
ATAL
2011
Springer
12 years 8 months ago
Agent-based control for decentralised demand side management in the smart grid
Central to the vision of the smart grid is the deployment of smart meters that will allow autonomous software agents, representing the consumers, to optimise their use of devices ...
Sarvapali D. Ramchurn, Perukrishnen Vytelingum, Al...