Architectures for agents in TAC SCM

John Collins, Wolf Ketter, Maria Gini

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

1 Citation (Scopus)

Abstract

An autonomous trading agent is a complex piece of software that must operate in a competitive economic environment and support a research agenda. We describe the structure of decision processes in the MinneTAC trading agent, focusing on the use of evaluators -- configurable, composable modules for data analysis and prediction that are chained together at runtime to support agent decision-making. Through a set of examples, we show how this structure supports sales and procurement decisions, and how those decision process can be modified in useful ways by changing evaluator configurations.
Original languageEnglish
Title of host publicationAAAI Spring Symposium on Architectures for Intelligent Theory-Based Agents
Pages7-12
Number of pages6
VolumeSS-08-02
Publication statusPublished - 2008
Externally publishedYes

Bibliographical note

Collins08AITA

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