Software-based Agent
(Redirected from software agent)
Jump to navigation
Jump to search
A Software-based Agent is a software system that is an autonomous agent that performs automated tasks on behalf of system users and software systems.
- AKA: Digital Agent, Virtual Agent, Software Agent.
- Context:
- It can typically provide Agent Autonomy through independent operations and automated decisions.
- It can typically maintain Agent Persistence via continuous execution and proactive monitoring.
- It can typically support Agent Communication with interaction protocols and message exchanges.
- It can typically leverage AI capability to enhance its decision-making process and task execution.
- It can typically integrate with enterprise systems to execute business processes across organizational boundarys.
- ...
- It can often process Environmental Input from sensor data and user interactions.
- It can often generate Agent Responses through automated actions.
- It can often adapt to Environment Changes through learning mechanisms.
- It can often integrate with large language model to improve its natural language understanding and communication capability.
- It can often employ machine learning algorithms to develop adaptive behavior in response to changing conditions.
- It can often collaborate with human workers to augment their productivity and decision quality.
- ...
- It can range from being a Simple Software-based Agent to being a Complex Software-based Agent, depending on its software-based agent complexity.
- It can range from being a Reactive Software-based Agent to being a Proactive Software-based Agent, depending on its software-based agent behavior pattern.
- It can range from being a Rule-based Software-based Agent to being a Learning Software-based Agent, depending on its software-based agent intelligence level.
- It can range from being a Batch-Oriented Software-based Agent to being an Interactive Software-based Agent, depending on its software-based agent interaction mode.
- It can range from being a Standalone Software-based Agent to being a Collaborative Software-based Agent, depending on its software-based agent social capability.
- It can range from being a Domain-Specific Software-based Agent to being a General-Purpose Software-based Agent, depending on its software-based agent application scope.
- It can range from being a Stationary Software-based Agent to being a Mobile Software-based Agent, depending on its software-based agent execution mobility.
- It can range from being a Local Software-based Agent to being a Distributed Software-based Agent, depending on its software-based agent deployment model.
- It can range from being a Single-Task Software-based Agent to being a Multi-Task Software-based Agent, depending on its software-based agent task capability.
- It can range from being a Synchronous Software-based Agent to being an Asynchronous Software-based Agent, depending on its software-based agent execution pattern.
- It can range from being a Software-based Organizational Agent to being a Software-based Personal Agent, depending on its software-based agent service scope.
- It can range from being a Narrowly-Specialized Software-based Agent to being a General-Purpose AI Software-based Agent, depending on its software-based agent AI system architecture.
- ...
- It can be based on an Agent Software Platform (or agent software framework).
- It can be a part of an Agent-based Software System.
- ...
- Examples:
- Personal Assistant Software-based Agents, such as:
- Task-Specific Software-based Agents, such as:
- Domain-Specific Software-based Agents, such as:
- Interactive Software-based Agents, such as:
- Modern Software-based Agent Implementations, such as:
- Specialized Software-based Agents, such as:
- AI Agent Workers for performing knowledge work and business tasks with AI-powered capabilitys.
- AI-Powered Digital Laborers for conducting complex work tasks traditionally performed by human workers.
- ...
- Counter-Examples:
- Automated Teller Machine, which follows fixed procedures without agency.
- Home Robot, which is a physical rather than software-based agent.
- Manual Software Tools, which require direct human input for each action.
- Non-Autonomous Scripts, which lack independent decision-making capability.
- See: Agent, Intelligent Agent, Reasoning System, AI Agent Worker, AI-Powered Digital Laborer, Believable Virtual Agent, Mobile Agent, Robot, Mobile Device, Human-Robot Interaction, Multi-Agent System (MAS), Autonomous Agent, Digital Assistant, Agent Communication Protocol, Agent Learning Algorithm.
References
2024-11-24
- Perplexity.ai
- Question: What is a Software-based agent? Please explain how these autonomous software systems perform automated tasks on behalf of users or other systems. Include information about their range from simple, rule-based scripts to complex, learning-enabled systems with proactive behaviors.
- Answer: Software agents are autonomous computer programs that perform tasks on behalf of users or other systems with varying degrees of independence. They range from basic automated scripts to sophisticated AI-powered systems that can learn and adapt to their environment.
- Key Characteristics:
- Autonomy:
- Task Automation:
- Handle repetitive tasks
- Improve efficiency
- Reduce human error
- Intelligence Levels:
- Types and Applications:
- Virtual Assistants:
- Security Agents:
- DLP Agents: Monitor user operations
- EDR Agents: Monitor endpoint activities
- CASB Agents: Examine cloud application traffic
- Business and Commerce:
- Buyer agents for information gathering
- Shopping bots for product comparison
- Network navigation capabilities
- Multi-Agent Systems:
- Industrial Applications:
- Key Characteristics:
- Citations:
[1] https://foundershield.com/insurance-terms/definition/software-agent/ [2] https://botpress.com/blog/real-world-applications-of-ai-agents [3] https://www.lenovo.com/us/en/glossary/agent/ [4] https://en.wikipedia.org/wiki/Software_agent [5] https://www.britannica.com/technology/software-agent
2024
- (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/software_agent Retrieved:2024-6-2.
- In computer science, a software agent is a computer program that acts for a user or another program in a relationship of agency.
The term agent is derived from the Latin agere (to do): an agreement to act on one's behalf. Such "action on behalf of" implies the authority to decide which, if any, action is appropriate. Some agents are colloquially known as bots, from robot. They may be embodied, as when execution is paired with a robot body, or as software such as a chatbot executing on a computer, such as a mobile device, e.g. Siri. Software agents may be autonomous or work together with other agents or people. Software agents interacting with people (e.g. chatbots, human-robot interaction environments) may possess human-like qualities such as natural language understanding and speech, personality or embody humanoid form (see Asimo).
Related and derived concepts include intelligent agents (in particular exhibiting some aspects of artificial intelligence, such as reasoning), autonomous agents (capable of modifying the methods of achieving their objectives), distributed agents (being executed on physically distinct computers), multi-agent systems (distributed agents that work together to achieve an objective that could not be accomplished by a single agent acting alone), and mobile agents (agents that can relocate their execution onto different processors).
- In computer science, a software agent is a computer program that acts for a user or another program in a relationship of agency.
2024
- Perplexity
- It performs automated tasks on behalf of a user or another program with a certain degree of autonomy.
- It can execute predefined tasks or functions based on specific conditions or events, often without direct human intervention.
- It ranges from simple scripts that automate repetitive tasks to complex systems employing advanced AI and machine learning algorithms.
- It exhibits autonomy, making decisions and performing tasks independently without continuous human guidance.
- It can perceive its environment and respond to changes appropriately, demonstrating reactivity.
- It can communicate and collaborate with other agents or systems, displaying social ability.
- It enhances efficiency, reduces manual workloads, and improves task accuracy and speed through automation and data-driven decision-making.
2013
- http://en.wikipedia.org/wiki/Software_agent
- QUOTE: In computer science, a systems agent is a computer program that acts for a user or other program in a relationship of agency, which derives from the Latin agere (to do): an agreement to act on one's behalf. Such "action on behalf of" implies the authority to decide which, if any, action is appropriate.[1][2]
Related and derived concepts include intelligent agents (in particular exhibiting some aspect of artificial intelligence, such as learning and reasoning), autonomous agents (capable of modifying the way in which they achieve their objectives), distributed agents (being executed on physically distinct computers), multi-agent systems (distributed agents that do not have the capabilities to achieve an objective alone and thus must communicate), and mobile agents (agents that can relocate their execution onto different processors).
- QUOTE: In computer science, a systems agent is a computer program that acts for a user or other program in a relationship of agency, which derives from the Latin agere (to do): an agreement to act on one's behalf. Such "action on behalf of" implies the authority to decide which, if any, action is appropriate.[1][2]
- ↑ Nwana, H. S. (1996). Software Agents: An Overview. 11. Cambridge University Press, Knowledge Engineering Review. pp. 205–244. 1996. Software Agents: An Overview. Knowledge Engineering Review, Vol. 11, No. 3, 205-244, Cambridge University Press
- ↑ Schermer,, B. W. (2007) (paperback). Software agents, surveillance, and the right to privacy: A legislative framework for agent-enabled surveillance. 11. Leiden University Press. pp. 140, 205–244. ISBN 978-0-596-00712-6. Template:Hdl. http://it-ebooks.info/book/252/. Retrieved 2012-10-30.
2011
- (Sammut & Webb, 2011) ⇒ Claude Sammut (editor), and Geoffrey I. Webb (editor). (2011). “Agent.” In: (Sammut & Webb, 2011) p.36
- QUOTE: In computer science, the term “agent” usually denotes a software abstraction of a real entity which is capable of acting with a certain degree of autonomy. For example, in artificial societies, agents are software abstractions of real people, interacting in an artifical, simulated environment. Various authors have proposed different definitions of agents. Most of them would agree on the following set of agent properties:
- Persistence: Code is not executed on demand but runs continuously and decides autonomously when it should perform some activity.
- Social ability: Agents are able to interact with other agents.
- Reactivity: Agents perceive the environment and are able to react.
- Proactivity: Agents exhibit goal-directed behavior and can take the initiative.
- QUOTE: In computer science, the term “agent” usually denotes a software abstraction of a real entity which is capable of acting with a certain degree of autonomy. For example, in artificial societies, agents are software abstractions of real people, interacting in an artifical, simulated environment. Various authors have proposed different definitions of agents. Most of them would agree on the following set of agent properties:
1996
- (Franklin & Graesser, 1996) ⇒ Stan Franklin, and Art Graesser. (1996). “Is It An Agent, Or Just a Program?: A Taxonomy for Autonomous Agents.” In: Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages.
1996
- H. S. Nwana. (1996). “Software Agents: An Overview.” In: Knowledge Engineering Review, 11(3).