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What is Public Goods and Common Pool Resources

Handbook of Research on Nature-Inspired Computing for Economics and Management
Goods that have in common that it is difficult or impossible to exclude potential consumers from them. The difference between those two categories is the different degree of subtractability. The utility derived from public goods is not or only slightly diminished by others using the same good. Examples include coded law and fresh air. Common pool resources, on the other hand, are characterized by subtractability. Examples include the fish population in a lake and groundwater. There are goods that lie in between, for example infrastructure like highways: as long as its use is well below its capacity, one more car does not hinder the other cars; in rush hour, however, cars compete for space. While the main problem with Public Goods is the provision and corresponding free-rider behavior, the main issue with common pool resources is appropriation or over-appropriation. These problems are addressed by different experimental decision environments: voluntary contribution mechanism refers to the provision of public goods; appropriation experiments deal with (over-)appropriation of common pool resources (see Ostrom et al., 1994 ).
Published in Chapter:
Agent-Based Modelnig with Boundedly Rational Agents
E. Ebenhoh (University of Osnabrück, Germany)
DOI: 10.4018/978-1-59140-984-7.ch017
Abstract
This chapter introduces an agent-based modeling framework for reproducing micro behavior in economic experiments. It gives an overview of the theoretical concept which forms the foundation of the framework as well as short descriptions of two exemplary models based on experimental data. The heterogeneous agents are endowed with a number of attributes like cooperativeness and employ more or less complex heuristics during their decision-making processes. The attributes help to distinguish between agents, and the heuristics distinguish between behavioral classes. Through this design, agents can be modeled to behave like real humans and their decision making is observable and traceable, features that are important when agent-based models are to be used in collaborative planning or participatory model-building processes.
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