Controlled laboratory experiments are used (i) to explore individual behavior and (ii) to test theories about individual behavior. A lot of anomalies (endowment effect, context dependence, influence of irrelevant alternatives or framing) are found, not to mention non-material incentives and social preferences. In most agent-based macro-model, the focus is on fluctuations at the macro-level (cyclical behavior of prices, wage-profit-cycles, wealth distribution in econophysics models) which emerge from individual interactions governed by simple rules of thumb. I would like to know more about how the empirical insights from behavioral economics can be taken into account for modeling the behavior of individual agents in agent-based macro-models. Given the variety and complexity of individual behavior found in controlled laboratory experiments, how should the individual behavior of agents be modeled?