GM-RKB Perplexity Reference Citation Entry System Prompt Test

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A GM-RKB Perplexity Reference Citation Entry System Prompt Test is a LLM prompt test for a GM-RKB Perplexity reference citation entry system prompt.

  • See: [[]].

References

2024-11-23

  • SAMPLE INPUT

Q: What is a Software-based Agent System? Please explain its core characteristics, classifications, and common applications. Include information about how these systems operate autonomously, their various types (from simple to complex agents), and provide examples of real-world applications like virtual assistants and security systems. Also, describe their advanced features such as multi-agent capabilities and learning abilities. Focus on their ability to perform automated intelligent tasks and how they differ from regular software systems. A: A software agent is a computer program that acts autonomously on behalf of users or other programs, demonstrating intelligent behavior through perception, reasoning, and action[1]. ## Core Characteristics **Fundamental Attributes** - Autonomy in decision-making and task execution - Persistence in continuous operation - Social ability to interact with other components - Reactivity to environmental changes[1] **Key Capabilities** - Perception of environmental conditions - Action-taking abilities to affect their environment - Reasoning to interpret data and determine actions[5] - Delegation of tasks from users - Communication with humans and other agents[5] ## Types of Agents **Simple Reflex Agents** These agents follow predefined rules to make decisions based on current situations, without considering past experiences. They are ideal for environments with stable rules and straightforward actions[2]. **Goal-Based Agents** These agents work towards specific objectives using search algorithms to find efficient paths to their goals. They excel in complex tasks like robotics and natural language processing[2]. **Utility-Based Agents** These agents make decisions by maximizing utility functions, choosing actions with the highest expected value. They are particularly effective in resource allocation and scheduling tasks[2]. **Learning Agents** These agents continuously improve their performance through experience and adaptation, using feedback mechanisms to enhance their decision-making capabilities[2]. ## Multi-Agent Systems **Key Features** - Distributed architecture with multiple interacting agents - Specialized capabilities for different tasks - Collaborative problem-solving abilities[4] **Benefits** - Enhanced modularity and scalability - Specialized task handling - Improved system robustness - Distributed processing capabilities[9] ## Real-World Applications **Security Systems** - System monitoring and surveillance - Access control management - Incident response coordination - Data analysis and reporting[3] **Virtual Assistants** - Banking and financial services - Customer service support - Healthcare management - Government services[6] ## Advanced Features **Intelligence Capabilities** - Natural language processing - Pattern recognition - Decision-making abilities - Learning and adaptation[7] **Memory Systems** - Operational memory for interaction history - Shared memory for multi-agent collaboration - Personal memory for individual agent characteristics[7] ## Distinction from Regular Software Software agents differ from conventional programs through: - Autonomous operation without direct user intervention - Continuous monitoring and decision-making - Goal-oriented behavior - Adaptive responses to environmental changes[1] The integration of these systems continues to evolve, with developments in AI technologies enabling more sophisticated applications across various industries, from customer service to complex problem-solving tasks[9]. Citations: [1] https://en.wikipedia.org/wiki/Software_agent [2] https://www.simform.com/blog/types-of-ai-agents/ [3] https://stealthagents.com/security-systems-virtual-assistant/ [4] https://relevanceai.com/learn/what-is-a-multi-agent-system [5] https://map.sdsu.edu/geoagent/agent_intro.htm [6] https://www.sestek.com/top-10-applications-of-virtual-assistants-blog [7] https://learn.microsoft.com/en-us/azure/cosmos-db/ai-agents [8] https://aws.amazon.com/what-is/ai-agents/?nc1=h_ls [9] https://www.forbes.com/sites/joannechen/2024/05/24/the-promise-of-multi-agent-ai/

  • SAMPLE OUTPUT

=== 2024-11-23 === * Perplexity.ai ** [[Question]]: What is a [[Software Agent System]]? Please explain its [[Software Agent System Characteristic|core characteristics]], [[Software Agent Classification|classifications]], and common [[Software Agent Application|applications]]. Include information about how these [[Software Agent System|systems]] operate [[software agent autonomy|autonomously]], their various types (from [[Simple Software Agent|simple]] to [[Complex Software Agent|complex agents]]), and provide examples of [[Real World Software Agent Application|real-world applications]] like [[Virtual Assistant System|virtual assistants]] and [[Security Agent System|security systems]]. Also, describe their [[Advanced Software Agent Feature|advanced features]] such as [[Multi Agent System Capability|multi-agent capabilities]] and [[Software Agent Learning Capability|learning abilities]]. Focus on their ability to perform [[Automated Software Agent Task|automated intelligent tasks]] and how they differ from [[Traditional Software System|regular software systems]]. ** [[Answer]]: A [[software agent]] is a [[computer program]] that acts [[software agent autonomy|autonomously]] on behalf of [[software agent user]]s or other [[software program]]s, demonstrating [[software agent intelligence|intelligent behavior]] through [[software agent perception|perception]], [[software agent reasoning|reasoning]], and [[software agent action|action]]. *** [[Core Software Agent Characteristic|Core Characteristic]]s: **** [[Fundamental Software Agent Attribute|Fundamental Attribute]]s: ***** [[Software Agent Autonomy|Autonomy]] in [[software agent decision making|decision-making]] and [[software agent task execution|task execution]] ***** [[Software Agent Persistence|Persistence]] in [[software agent operation|continuous operation]] ***** [[Software Agent Social Capability|Social ability]] to interact with other [[software system component]]s ***** [[Software Agent Reactivity|Reactivity]] to [[software agent environment change|environmental changes]] **** [[Key Software Agent Capability|Key Capability]]s: ***** [[Software Agent Environmental Perception|Environmental perception]] of [[software agent environment condition|environmental conditions]] ***** [[Software Agent Action Capability|Action-taking abilities]] to affect their [[software agent environment]] ***** [[Software Agent Reasoning Capability|Reasoning]] to interpret [[software agent data]] and determine [[software agent action]]s ***** [[Software Agent Task Delegation|Task delegation]] from [[software agent user]]s ***** [[Software Agent Communication Capability|Communication]] with [[human software agent interaction|humans]] and other [[software agent]]s *** [[Software Agent Classification|Agent Classification]]s: **** [[Simple Reflex Software Agent|Simple Reflex Agent]]s: ***** Follow [[software agent rule|predefined rules]] for [[software agent decision making|decision-making]] based on current [[software agent situation]]s ***** Ideal for [[stable software agent environment|stable environments]] with [[simple software agent action|straightforward actions]] **** [[Goal Based Software Agent|Goal-Based Agent]]s: ***** Work towards specific [[software agent objective]]s using [[software agent search algorithm|search algorithms]] ***** Excel in [[complex software agent task]]s like [[software agent robotics|robotics]] and [[software agent natural language processing|natural language processing]] **** [[Utility Based Software Agent|Utility-Based Agent]]s: ***** Make [[software agent decision]]s by maximizing [[software agent utility function|utility functions]] ***** Effective in [[software agent resource allocation|resource allocation]] and [[software agent scheduling|scheduling tasks]] **** [[Learning Software Agent|Learning Agent]]s: ***** Continuously improve [[software agent performance]] through [[software agent experience]] and [[software agent adaptation|adaptation]] ***** Use [[software agent feedback mechanism|feedback mechanisms]] to enhance [[software agent decision capability|decision-making capabilities]] *** [[Multi Software Agent System|Multi-Agent System]] Features: **** [[Key Multi Software Agent Feature|Key Feature]]s: ***** [[Distributed Software Agent Architecture|Distributed architecture]] with multiple interacting [[software agent]]s ***** [[Specialized Software Agent Capability|Specialized capabilities]] for different [[software agent task]]s ***** [[Collaborative Software Agent Problem Solving|Collaborative problem-solving]] abilities **** [[Multi Software Agent Benefit|Multi-Agent Benefit]]s: ***** Enhanced [[software agent system modularity|modularity]] and [[software agent system scalability|scalability]] ***** [[Specialized Software Agent Task Handling|Specialized task handling]] ***** Improved [[software agent system robustness|system robustness]] ***** [[Distributed Software Agent Processing|Distributed processing]] capabilities *** [[Real World Software Agent Application|Real-World Application]]s: **** [[Security Software Agent System|Security System]]s: ***** [[Software Agent System Monitoring|System monitoring]] and [[software agent surveillance|surveillance]] ***** [[Software Agent Access Control|Access control]] management ***** [[Software Agent Incident Response|Incident response]] coordination ***** [[Software Agent Data Analysis|Data analysis]] and [[software agent reporting|reporting]] **** [[Virtual Assistant Software Agent|Virtual Assistant]] Applications: ***** [[Banking Software Agent Service|Banking]] and [[financial software agent service|financial services]] ***** [[Customer Service Software Agent|Customer service]] support ***** [[Healthcare Management Software Agent|Healthcare]] management ***** [[Government Service Software Agent|Government services]] *** [[Advanced Software Agent Feature|Advanced Feature]]s: **** [[Software Agent Intelligence Capability|Intelligence Capability]]s: ***** [[Software Agent Natural Language Processing|Natural Language Processing]] ***** [[Software Agent Pattern Recognition|Pattern Recognition]] ***** [[Software Agent Decision Making Capability|Decision-Making Abilities]] ***** [[Software Agent Learning Capability|Learning]] and [[Software Agent Adaptation Capability|Adaptation]] **** [[Software Agent Memory System]]s: ***** [[Software Agent Operational Memory|Operational memory]] for [[software agent interaction history|interaction history]] ***** [[Software Agent Shared Memory|Shared memory]] for [[multi software agent collaboration|multi-agent collaboration]] ***** [[Software Agent Personal Memory|Personal memory]] for individual [[software agent characteristic]]s *** [[Software Agent System Distinction|System Distinction]]s: **** [[Software Agent]]s differ from [[conventional software program]]s through: ***** [[Software Agent Autonomous Operation|Autonomous operation]] without direct [[software agent user intervention|user intervention]] ***** [[Software Agent Continuous Monitoring|Continuous monitoring]] and [[software agent decision making|decision-making]] ***** [[Software Agent Goal Oriented Behavior|Goal-oriented behavior]] ***** [[Software Agent Adaptive Response|Adaptive responses]] to [[software agent environment change|environmental changes]] ** Citations: [1] https://en.wikipedia.org/wiki/Software_agent [2] https://www.simform.com/blog/types-of-ai-agents/ [3] https://stealthagents.com/security-systems-virtual-assistant/ [4] https://relevanceai.com/learn/what-is-a-multi-agent-system [5] https://map.sdsu.edu/geoagent/agent_intro.htm [6] https://www.sestek.com/top-10-applications-of-virtual-assistants-blog [7] https://learn.microsoft.com/en-us/azure/cosmos-db/ai-agents [8] https://aws.amazon.com/what-is/ai-agents/?nc1=h_ls [9] https://www.forbes.com/sites/joannechen/2024/05/24/the-promise-of-multi-agent-ai/

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