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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 ...
In object-oriented programming, code is organized into objects that contain state that is owned by and (usually) controlled by the code of the object. Most object-oriented languages are also imperative languages. In object-oriented programming, programs are treated as a set of interacting objects.
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.
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.
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“The FAA is in charge of assuring the safety of the national airspace,” she said. “But what we don’t have is a definition of where national airspace begins and local airspace ends.” ...
The definition of agent processing can be approached from two interrelated directions: internal state processing and ontologies for representing knowledge; interaction protocols – standards for specifying communication of tasks; Agent systems are used to model real-world systems with concurrency or parallel processing.