Cooperative Learning in a multi-agent system can improve the learning quality and learning speed. The improvement can be gained if each agent detects the expert agents and use their knowledge properly. In this paper, a new cooperative learning method, called Weighted Strategy Sharing (WSS) is introduced. Also some criteria are introduced to measure the expertness of agents. In WSS, based on the...

This paper proposes a strategy for French and Spanish sentence generation systems, based on the English generation system. The English generation mode! consists of four procedures, conceptual wording (sentence-structure planning), syntactic selection, ordering and morphological generation. The analysis of linguistic similarities and differences between English, French and Spanish reveals that a...

This research concerns the comparison of three different artificial evolution approaches to the design of cooperative behavior in a group of simulated mobile robots. The first and second approaches, termed: single pool and plasticity, are characterized by robots that share a single genotype, though the plasticity approach includes a learning mechanism. The third approach, termed: multiple pools...

This paper investigates the problem of controlling a team of Quadrotors that cooperatively transport a common payload. The main contribution of this study is to propose a cooperative control algorithm based on a decentralized algorithm. This strategy is comprised of two main steps: the first one is calculating the basic control vectors for each Quadrotor using Moore–Penrose theory aiming at coo...

In this paper we show how taking advantage of autonomous agents’ capability to maintain parallel interactions with others, and incorporating it into the cooperative economic search model results in a new search strategy which outperforms current strategies in use. As a framework for our analysis we use the electronic marketplace, where buyer agents have the incentive to search cooperatively. Th...

Jim Ranalli, Iowa State University This paper explores the feasibility of an automated, online form of L2 strategy instruction (SI) as an alternative to conventional, classroom-based forms that rely primarily on teachers. Feasibility was evaluated by studying the effectiveness, both actual and perceived, of a five-week, online SI course designed to teach web-based dictionary skills integrated w...