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Agent-oriented programming (AOP) is a programming paradigm where the construction of the software is centered on the concept of software agents.In contrast to object-oriented programming which has objects (providing methods with variable parameters) at its core, AOP has externally specified agents (with interfaces and messaging capabilities) at its core.
In computing, aspect-oriented programming (AOP) is a programming paradigm that aims to increase modularity by allowing the separation of cross-cutting concerns.It does so by adding behavior to existing code (an advice) without modifying the code, instead separately specifying which code is modified via a "pointcut" specification, such as "log all function calls when the function's name begins ...
Isolating such aspects as logging and persistence from business logic is at the core of the aspect-oriented programming (AOP) paradigm. [1] Aspect-orientation is not limited to programming since it is useful to identify, analyse, trace and modularise concerns through requirements elicitation, specification, and design.
There several platforms for software agents or also agent development toolkits, which can facilitate the development of multi-agent systems. [1] [2] [3] Hereby, software agents are implemented as independent threads which communicate with each other using agent communication languages. Below is a chart intended to capture many of the features ...
Agent-oriented programming; Aspect-oriented programming (AOP) Convention over configuration; Component-based software engineering; Functional programming (FP) Hierarchical object-oriented design (HOOD) [16] Literate programming; Logic programming; Modular programming; Object-oriented programming (OOP) Procedural programming; Reactive programming
Agent-oriented software engineering (AOSE) is a software engineering paradigm that arose to apply best practice in the development of complex Multi-Agent Systems (MAS) by focusing on the use of agents, and organizations (communities) of agents as the main abstractions.
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Simple reflex agent Learning agent. A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. [1] Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. [2]