Abstract-We describe a mult iset of agents based modeling and simulation paradig m for synthetic biology. The mu ltiset of agents -based programming paradig m, can be interpreted as the outcome arising out of deterministic, nondetermin istic or stochastic interaction among elements in a mult iset object space, that includes the environment. These interactions are like chemical reactions and the evolution of the mu ltiset can emulate the system biological functions. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competit ively among the subsets of elements, so that the elements evolve toward equilibriu m or emergent state. Pract ical realization of this paradigm for system biological simulat ion is achieved through the concept of transactional style programming with agents, as well as soft computing (neural-network) principles. Also we briefly describe currently available tools for agent-based-modeling, simu lation and animat ion.