 The simplest form of the results echo the pattern seen in different forms in Bala and Goyal (1998) and in Zollman (2010a, 2010b), here played out on epistemic landscapes. Agents start with random hypotheses as points on the x-axis of a two-dimensional landscape. They compare their results (the height of the y axis at that point) with those of the other agents to which they are networked. If a networked neighbor has a higher result, the agent moves toward an approximation of that point (in the interval of a “shaking hand”) with an inertia factor (generally 50%, or a move halfway). The process is repeated by all agents, progressively exploring the landscape in attempting to move toward more successful results.