Expectation-Oriented Analysis and Design

A key challenge for agent-oriented software engineering is to develop and implement open systems composed of interacting autonomous agents. On the one hand, there is a need for permitting autonomy in order to support desirable system properties such as decentralised control. On the other hand, there is a need for restricting autonomy in order to reduce undesirable system properties such as unpredictability. This paper introduces a novel analysis and design method for open agentoriented software systems that aims at coming up to both of these two contrary aspects. The characteristics of this method, called EXPAND, are as follows: (i) it allows agents a maximum degree of autonomy and restricts autonomous behaviour only if necessary (ii) it uses system-level expectations as a key modelling abstraction and as the primary level of analysis and design; and (iii) it is sociologically grounded in Luhmann’s systems theory. The application of EXPAND is illustrated in a “cartrading platform” case study.