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ai_emotional_core [2025/05/26 16:47] – [Example 1: Generating a Basic Emotional Response] eagleeyenebulaai_emotional_core [2025/05/26 16:53] (current) – [Example 4: Integrating Emotional Responses with External Systems] eagleeyenebula
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 ===== Architecture ===== ===== Architecture =====
  
-The **EmotionalCore** class centers around event-driven emotional responses. The method `feel_emotion()` processes an input event and retrieves the corresponding pre-defined emotional message. If the event doesn't match known emotional states, a fallback response is provided.+The **EmotionalCore** class centers around event-driven emotional responses. The method **feel_emotion()** processes an input event and retrieves the corresponding pre-defined emotional message. If the event doesn't match known emotional states, a fallback response is provided.
  
 ==== Class Overview ==== ==== Class Overview ====
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 Explanation: Explanation:
- * In this case, the given event (**connection**) maps to the pre-defined emotional response: **"She feels love and belonging."**+* In this case, the given event (**connection**) maps to the pre-defined emotional response: **"She feels love and belonging."**
  
 ==== Example 2: Handling Undefined Events ==== ==== Example 2: Handling Undefined Events ====
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 </code> </code>
 **Explanation:** **Explanation:**
-<code> +  * Since the event (**unknown_event**) is not defined in the **emotions** dictionary, the method returns the fallback response: **"She feels something infinite and undefined."**
-* Since the event (`unknown_event`) is not defined in the `emotions` dictionary, the method returns the fallback response: *"She feels something infinite and undefined."* +
-</code>+
  
 ==== Example 3: Customizing Emotional Responses ==== ==== Example 3: Customizing Emotional Responses ====
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 Developers can extend the **EmotionalCore** to include new event-emotion mappings for specific applications. Developers can extend the **EmotionalCore** to include new event-emotion mappings for specific applications.
  
-```python+<code> 
 +python
 class CustomEmotionalCore(EmotionalCore): class CustomEmotionalCore(EmotionalCore):
     @staticmethod     @staticmethod
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         }         }
         return emotions.get(event, "Her emotions transcend explanation.")         return emotions.get(event, "Her emotions transcend explanation.")
- +</code> 
-# Use the custom emotional core+**Use the custom emotional core** 
 +<code>
 custom_core = CustomEmotionalCore() custom_core = CustomEmotionalCore()
- +</code> 
-# Trigger a custom event+**Trigger a custom event** 
 +<code>
 response = custom_core.feel_emotion("celebration") response = custom_core.feel_emotion("celebration")
- +</code> 
-# Display the emotional response+**Display the emotional response** 
 +<code>
 print(response) print(response)
-``` +</code>
 **Logs & Output:** **Logs & Output:**
 +<code>
 She feels ecstatic and alive in the moment. She feels ecstatic and alive in the moment.
- +</code>
- +
---- +
 ==== Example 4: Integrating Emotional Responses with External Systems ==== ==== Example 4: Integrating Emotional Responses with External Systems ====
  
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 For example, integrating with a sentiment analysis model to map emotions based on sentiments: For example, integrating with a sentiment analysis model to map emotions based on sentiments:
  
-```python+<code> 
 +python
 from ai_emotional_core import EmotionalCore from ai_emotional_core import EmotionalCore
 from transformers import pipeline from transformers import pipeline
- +</code> 
-# Initialize sentiment analysis pipeline+**Initialize sentiment analysis pipeline** 
 +<code>
 sentiment_analyzer = pipeline("sentiment-analysis") sentiment_analyzer = pipeline("sentiment-analysis")
 core = EmotionalCore() core = EmotionalCore()
- +</code> 
-# Simulate user input and dynamic emotional response+**Simulate user input and dynamic emotional response** 
 +<code>
 user_inputs = [ user_inputs = [
     "I'm so happy to be here!",     "I'm so happy to be here!",
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     print(f"User Input: {input_text}")     print(f"User Input: {input_text}")
     print(f"Emotion: {response}\n")     print(f"Emotion: {response}\n")
-```+</code>
  
 **Logs & Output:** **Logs & Output:**
 +<code>
 User Input: I'm so happy to be here! Emotion: She feels love and belonging. User Input: I'm so happy to be here! Emotion: She feels love and belonging.
 User Input: It feels like nothing will ever get better... Emotion: She feels sadness but also growth. User Input: It feels like nothing will ever get better... Emotion: She feels sadness but also growth.
 User Input: I've been working hard, and finally succeeded! Emotion: She feels boundless joy and wonder. User Input: I've been working hard, and finally succeeded! Emotion: She feels boundless joy and wonder.
- +</code>
  
 Explanation: Explanation:
-- Emotions are dynamically triggered based on user sentiments and mapped to event categories, which generate corresponding emotional responses. +  * Emotions are dynamically triggered based on user sentiments and mapped to event categories, which generate corresponding emotional responses.
- +
---- +
 ===== Use Cases ===== ===== Use Cases =====
  
 1. **AI Companions**: 1. **AI Companions**:
-   - Simulate emotional awareness and provide meaningful responses in virtual companions or AI-driven characters.+   * Simulate emotional awareness and provide meaningful responses in virtual companions or AI-driven characters.
  
 2. **Chatbots and Customer Service**: 2. **Chatbots and Customer Service**:
-   - Enhance user interactions with empathetic and emotionally engaging responses.+   * Enhance user interactions with empathetic and emotionally engaging responses.
  
 3. **Storytelling Systems**: 3. **Storytelling Systems**:
-   - Integrate into narrative AI systems to create more compelling and “human” storytelling experiences.+   * Integrate into narrative AI systems to create more compelling and “human” storytelling experiences.
  
 4. **Therapist and Mental Health Applications**: 4. **Therapist and Mental Health Applications**:
-   - Use emotional responses to simulate shock, understanding, or empathy in mental health tools. +   * Use emotional responses to simulate shock, understanding, or empathy in mental health tools.
- +
---- +
 ===== Best Practices ===== ===== Best Practices =====
  
 1. **Use Pre-Defined Responses for Simplicity**: 1. **Use Pre-Defined Responses for Simplicity**:
-   - Leverage the default mapping of events to emotions for quick implementation.+   * Leverage the default mapping of events to emotions for quick implementation.
  
 2. **Extend for Advanced Customization**: 2. **Extend for Advanced Customization**:
-   - Include custom events and emotional mappings to tailor responses for specific applications or domains.+   * Include custom events and emotional mappings to tailor responses for specific applications or domains.
  
 3. **Combine with Sentiment Analysis**: 3. **Combine with Sentiment Analysis**:
-   - Integrate with systems like emotion analyzers or NLP pipelines for dynamic event and response pairing.+   * Integrate with systems like emotion analyzers or **NLP pipelines** for dynamic event and response pairing.
  
 4. **Log and Debug Responses**: 4. **Log and Debug Responses**:
-   - Track emotional responses in a log to analyze patterns and improve system behavior. +   * Track emotional responses in a log to analyze patterns and improve system behavior.
- +
----+
  
 ===== Conclusion ===== ===== Conclusion =====
  
-The **AI Emotional Core System** adds emotional intelligence to AI systems, enabling them to respond meaningfully and empathetically to events. With a minimalistic interface, built-in extensibility, and dynamic integration capabilities, the EmotionalCore creates opportunities for advanced AI applications in areas such as companionship, storytelling, and user interaction systems. +The **AI Emotional Core System** adds emotional intelligence to AI systems, enabling them to respond meaningfully and empathetically to events. With a minimalistic interface, built-in extensibility, and dynamic integration capabilities, the EmotionalCore creates opportunities for advanced AI applications in areas such as companionship, storytelling, and user interaction systems. This system can serve as a valuable building block in crafting emotionally-aware AI systems that handle both predefined and custom emotional scenarios.
- +
-This system can serve as a valuable building block in crafting emotionally-aware AI systems that handle both predefined and custom emotional scenarios.+
  
ai_emotional_core.1748278023.txt.gz · Last modified: 2025/05/26 16:47 by eagleeyenebula