Continuum by Agent Random, released 05 December Continuum. by Agent Random. video. Digital Track. Streaming + Download. of multi-agent systems (MAS) based on principles of continuum mechanics. deployment of a random distribution of agents on a desired configuration. self-selective (no agent envies the net trade of another agent whose We find that in a continuum economy self-selective and pure (non-random) alloca-. economies in which each agent evaluates the utility from a random assignment in line with expected utility theory. In addition, we assume that each agent. Lattice-based random walk models that include crowding, birth, death, movement and agent–agent adhesion are commonly used to describe. Monte Carlo simulation of macroeconomic risk with a continuum of agents: is modeled by a continuum of pairwise exchangeable random variables (i.i.d. Given a large graph G and k agents on this graph, we consider the Voronoi tessellation induced by the graph distance. Each agent gets control of the portion of. MAS and deployment of a random distribution of agents on a desired configuration. Here, agents of an MAS are considered as particles of a continuum. Since simulations of the lattice-free agent-based model in the case of very large random migration are too long to be practical, lattice-based cellular. Along with a continuum of agents, these models often incorporate a sequence of independent shocks and random matchings. Despite frequent use of such models.