The development of solutions to complex problems requires finding answers to several questions which are obstacles on the road leading to the solution. To perpetuate progress, the...
Abstract. This paper surveys the state-of-the-art in developing multi-agent systems, and sets out to answer the questions: "what are the key current issues in developing multi...
Rafael H. Bordini, Mehdi Dastani, Michael Winikoff
This paper describes a discussion-bot that provides answers to students’ discussion board questions in an unobtrusive and humanlike way. Using information retrieval and natural ...
Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy
Compositional question answering begins by mapping questions to logical forms, but training a semantic parser to perform this mapping typically requires the costly annotation of t...
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...