Diversity and Communication in Teams: Improving Problem-Solving or Creating Confusion?
  In this article, it states that communication can be aimed at being a computational approach in teams on agents’ performance in problem-solving. As defined in the article, performance is the alternative in which diverse agents choose to complete representation of problems. Secondly, poorer communication skills can lead to a performance of less value. Lastly, if communication is not considered positive, intensity may worsen at any level of knowledge availability and knowledge variety. It is also stated that the more society poses a challenge to how to work, it brings a new question on what diversity really means. 
 In this research article, problem-solving is being analyzed with the abilities in collecting relevant features and compassing their individual performances with the team showing increase levels of communication. Within the studies performed by (Hutchins 1995; Marchiori and Warglien 2005) explored to what extent communication can lead to better and more rapid solutions. In some studies, communication has been shown to bring a non-monotonic relation with performance. In the decision-making approach (see Williams and O’Reilly 1998 or Mannix and Neale 2005, for a review), a diverse agent is meant to offer access to different networks, which will increase problem-solving success. Also, problem-solving in teams’ reveals out comes which are worse than individual ones.  
 After intense research, the belief is that divergent results derive from diversity and communications may be clarified by joint assessment of their interplay. The question was asked “to what extent does diversity support collective problem-solving that allows effective communication among agents, or whether it only adds confusion and “noise” to the problem-setting. When talking about the different models, the conceptual model shows three main models that exists. First, the model diversity tells how agents interpret problems. Secondly, will provide a measure of diversity. Thirdly, models belongs to a peculiar class of connectionist network, i.e., constraint satisfaction (CS) networks purposed by Rumelhart et al. (1986). Also, team diversity have built upon assuming problem-solving as a pattern-matching activity (Hutchins 1995; Marchiori and Warglien 2005). In communication, interaction allows other’s to complement effective ways when knowledge of another is recognized. This will increase improvement in team performance. 
Work Cited
Hutchins E. (1995) Cognition in the wild, The MIT Press, Cambridge.
Marchiori, D. Warglien M. (2005) Constructing shared interpretations in a team of intelligent agents: the effects of communication intensity and structure In: Terano T (ed) Agent-based simulation: from modeling methodologies to real-word applications. Post-proceedings of the 3rd international workshop on agent-based approaches in economic and social complex system 2004. Springer, Berlin, pp. 58-71.