We present a method for an autonomous agent to identify dominant market conditions, such as oversupply or scarcity. The characteristics of economic regimes are learned from his-toric data and used, together with real-time observable infor-mation, to identify the current market regime and to forecast market changes. The approach is validated with data from th
A useful insight into managerial decision making can be found from simulation of business systems, b...
{We investigate the effects of adding procurement information (component offer prices) to a sales-ba...
Abstract. In agent-based markets, adapting to the behavior of other agents is often necessary for su...
We present basic building blocks of an agent that can use observable market conditions to characteri...
We show how an autonomous agent can use observable market conditions to characterize the microeconom...
textabstractWe present a computational approach that autonomous software agents can adopt to make ta...
textabstractMany enterprises that participate in dynamic markets need to make product pricing and in...
Many enterprises that participate in dynamic markets need to make product pricing and inventory reso...
This work explores 'big data' analysis in the context of supply chain management. Specifically we pr...
This paper proposes a novel method to characterize the performance of autonomous agents in the Tradi...
textabstractMany enterprises that participate in dynamic markets need to make product pricing and in...
An autonomous trading agent is a complex piece of software that must operate in a competitive econom...
Our research is focused on the effects of the additionof procurement information (offer prices) to a...
Our research is focused on the effects of the addition of procurement information (offer prices) to ...
We investigate the effects of adding procurement information (component offer prices) to a sales-bas...
A useful insight into managerial decision making can be found from simulation of business systems, b...
{We investigate the effects of adding procurement information (component offer prices) to a sales-ba...
Abstract. In agent-based markets, adapting to the behavior of other agents is often necessary for su...
We present basic building blocks of an agent that can use observable market conditions to characteri...
We show how an autonomous agent can use observable market conditions to characterize the microeconom...
textabstractWe present a computational approach that autonomous software agents can adopt to make ta...
textabstractMany enterprises that participate in dynamic markets need to make product pricing and in...
Many enterprises that participate in dynamic markets need to make product pricing and inventory reso...
This work explores 'big data' analysis in the context of supply chain management. Specifically we pr...
This paper proposes a novel method to characterize the performance of autonomous agents in the Tradi...
textabstractMany enterprises that participate in dynamic markets need to make product pricing and in...
An autonomous trading agent is a complex piece of software that must operate in a competitive econom...
Our research is focused on the effects of the additionof procurement information (offer prices) to a...
Our research is focused on the effects of the addition of procurement information (offer prices) to ...
We investigate the effects of adding procurement information (component offer prices) to a sales-bas...
A useful insight into managerial decision making can be found from simulation of business systems, b...
{We investigate the effects of adding procurement information (component offer prices) to a sales-ba...
Abstract. In agent-based markets, adapting to the behavior of other agents is often necessary for su...