The research reported here analyses the relationship between group synchrony and group bonding through a novel adaptive computational dynamical system model. By simulating multimodal interactions within a group of four agents, the study uncovers patterns in group cohesion in the sense of emerging multimodal group synchrony and related group bonding. Findings include patterns for emerging group synchrony (logarithmical) and group bonding (logistic). The obtained insights offer an understanding of group interaction dynamics. Future research may consider larger groups and more variations of synchrony detection functions to widen the obtained findings.