The advantage of general purpose platforms is their lack of domain focus, which makes them flexible and allows for a wide range of uses. Special purpose: Cognitive, social and affective agents Artificial intelligence research Modelling and simulation Transport-related simulations ( Citation2020) split modern agent frameworks into two main categories: A large number of both open source and commercial tools are available today, since agent-based modelling is a powerful tool researchers can benefit from. ( Citation2011), these languages can be classified into multiple groups based on their most relevant aspects regarding agent modelling: Agent-oriented programming (AOP) languages, Belief-desire-intention languages (BDI) and Hybrid languages.Īgent Platforms – Various tools and platforms for developing agent systems and agent modelling have been developed over the years. On the other hand, there exist various prototype languages which provide useful abstractions when constructing agents and agent-based systems. Programming Languages for Agent Development – Commonly used programming languages like Java, C, C++ and others have their own tools and frameworks for handling agents and multi-agent systems. In the rest of the section, we will briefly present some characteristic languages and frameworks.
AGENT BASED SIR MODEL WITH RATES IN ANYLOGIC SOFTWARE
During the history of developing and using software agents, various programming languages and frameworks have been developed for different purposes. The majority of authors agree software agents are based on the actor model (Bădică et al., Citation2011), and that they share common properties (Wooldridge & Jennings, Citation1994, Citation1995), which include: Autonomy – they act on their own Social ability – agents usually interact with other agents Reactivity – they are able to react when prompted by other agents or when changes in the environment occur Proactiveness – agents are not only reactive, but they actively take action, which in most cases is goal-oriented, meaning they wish to achieve a specific goal.Īgents are capable of acting and reacting when confronted with other agents and the environment they're in. If they intend to modify the states of other actors, they must do that by sending messages, to which the target actor reacts to. These actors communicate through messages and can modify only their own private state. The first mention of an idea resembling today's understanding of software agents dates back to the seventies, when Hewitt described his actor model (Hewitt et al., Citation1973). These agents are defined by their behaviour and their ability to act with a degree of autonomy.
Software agents, in the broadest sense, are programs that act on behalf of someone else.
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