Search For:

Displaying 1-4 out of 4 total
A Zeroth-Level Classifier System for Real Time Strategy Games
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Michalis T. Tsapanos,Kyriakos C. Chatzidimitriou,Pericles A. Mitkas
Issue Date:August 2011
pp. 244-247
Real Time Strategy games (RTS) provide an interesting test bed for agents that use Reinforcement Learning (RL) algorithms. From an agent's point of view, RTS games constitute a Markovian, partially observable and dynamic environment with a huge state space...
 
Data-Mining-Enhanced Agents in Dynamic Supply-Chain-Management Environments
Found in: IEEE Intelligent Systems
By Kyriakos C. Chatzidimitriou, Andreas L. Symeonidis
Issue Date:May 2009
pp. 54-63
In modern supply chains, stakeholders with varying degrees of autonomy and intelligence compete against each other in a constant effort to establish beneficiary contracts and maximize their own revenue. In such competitive environments, entities—software a...
 
Redefining the Market Power of Small-Scale Electricity Consumers through Consumer Social Networks
Found in: 2013 IEEE 10th International Conference on e-Business Engineering (ICEBE)
By Kyriakos C. Chatzidimitriou,Kostantinos N. Vavliakis,Andreas L. Symeonidis,Pericles A. Mitkas
Issue Date:September 2013
pp. 25-31
Energy markets have undergone important changes at the conceptual level over the last years. Decentralized supply, small-scale production and smart grid optimization and control are the new building blocks. These changes offer substantial opportunities for...
 
Data Mining-Driven Analysis and Decomposition in Agent Supply Chain Management Networks
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Kyriakos C. Chatzidimitriou, Andreas L. Symeonidis, Pericles A. Mitkas
Issue Date:December 2008
pp. 558-561
In complex and dynamic environments where interdependencies cannot monotonously determine causality, data mining techniques may be employed in order to analyze the problem, extract key features and identify pivotal factors. Typical cases of such complexity...
 
 1