Agentic Artificial Intelligence
Paul Rich
This audiobook is narrated by a digital voice.
Agentic Artificial Intelligence
Step into the next evolution of artificial intelligence—one where AI systems don’t just respond, they act. Agentic Artificial Intelligence explores the emerging world of AI agents that can make decisions, take initiative, and perform complex tasks with minimal human input.
This guide demystifies the concept of agency in AI and breaks down how modern autonomous agents—powered by tools like large language models, APIs, memory systems, and reasoning engines—are transforming how we build and interact with technology. From AI personal assistants that plan your day to autonomous systems that run entire workflows, agentic AI is rapidly reshaping industries and redefining intelligence itself.
Whether you're a developer, entrepreneur, or curious learner, this book will help you understand the architecture, real-world applications, challenges, and ethical implications of building agentic systems. It’s not just about automation—it’s about empowerment.
Prepare to meet a new kind of AI—one that thinks, acts, and adapts.
Duration - 4h 8m.
Author - Paul Rich.
Narrator - Digital Voice Maxwell G.
Published Date - Sunday, 26 January 2025.
Copyright - © 2025 Galeano Mendez Company LLC ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. Agentic Artificial Intelligence Step into the next evolution of artificial intelligence—one where AI systems don’t just respond, they act. Agentic Artificial Intelligence explores the emerging world of AI agents that can make decisions, take initiative, and perform complex tasks with minimal human input. This guide demystifies the concept of agency in AI and breaks down how modern autonomous agents—powered by tools like large language models, APIs, memory systems, and reasoning engines—are transforming how we build and interact with technology. From AI personal assistants that plan your day to autonomous systems that run entire workflows, agentic AI is rapidly reshaping industries and redefining intelligence itself. Whether you're a developer, entrepreneur, or curious learner, this book will help you understand the architecture, real-world applications, challenges, and ethical implications of building agentic systems. It’s not just about automation—it’s about empowerment. Prepare to meet a new kind of AI—one that thinks, acts, and adapts. Duration - 4h 8m. Author - Paul Rich. Narrator - Digital Voice Maxwell G. Published Date - Sunday, 26 January 2025. Copyright - © 2025 Galeano Mendez Company LLC ©.
Language:
English
Creditos Iniciales
Duration:00:00:14
Chapter 1: Introduction to Agentic AI
Duration:00:00:05
Definition and Scope of Agentic Artificial Intelligence
Duration:00:03:40
Historical Evolution of AI and the Emergence of Agency
Duration:00:03:59
Differentiating Agentic AI from Traditional AI Systems
Duration:00:03:55
Key Concepts: Autonomy, Intentionality, and Decision-Making
Duration:00:03:50
Use Cases Across Industries
Duration:00:03:27
Ethical and Philosophical Implications of Agency in AI
Duration:00:03:25
Chapter 2: Foundations of Artificial Agency
Duration:00:00:05
Theoretical Models of Agency in Cognitive Science
Duration:00:04:00
Computational Representations of Agency
Duration:00:03:53
Autonomy vs. Control: The Balance in AI Design
Duration:00:03:50
Types of Agents: Reactive, Deliberative, and Hybrid
Duration:00:03:59
Perception, Cognition, and Action in Agentic Systems
Duration:00:03:44
Goal-Oriented Behavior and Planning in AI
Duration:00:03:34
Chapter 3: Architectures for Agentic Systems
Duration:00:00:05
Symbolic AI vs. Subsymbolic Approaches
Duration:00:03:32
Multi-Agent System Architectures
Duration:00:03:38
Distributed Artificial Intelligence Models
Duration:00:03:29
Agent Communication Languages and Protocols
Duration:00:03:22
Modular vs. Integrated Architectures
Duration:00:03:22
Decentralized Decision-Making and Coordination
Duration:00:03:53
Chapter 4: Learning and Adaptation in Agentic AI
Duration:00:00:05
Reinforcement Learning in Agentic Environments
Duration:00:03:32
Meta-Learning and Continual Learning
Duration:00:03:49
Self-Supervised Learning and Representation Building
Duration:00:03:56
Autonomous Goal Formation and Reward Shaping
Duration:00:03:40
Curriculum Learning for Agent Development
Duration:00:03:38
Evolving Policies Through Trial and Error
Duration:00:03:20
Chapter 5: Decision-Making Mechanisms
Duration:00:00:04
Utility-Based Decision Models
Duration:00:03:45
Probabilistic and Bayesian Reasoning
Duration:00:03:36
Bounded Rationality and Heuristic Strategies
Duration:00:03:37
Game Theory in Multi-Agent Scenarios
Duration:00:03:34
Moral and Ethical Decision-Making Frameworks
Duration:00:03:48
Conflict Resolution and Negotiation Among Agents
Duration:00:03:26
Chapter 6: Communication and Interaction
Duration:00:00:05
Human-AI Interaction Models
Duration:00:03:27
Natural Language Understanding in Agentic Systems
Duration:00:03:37
Social Intelligence and Theory of Mind
Duration:00:03:34
Collaboration and Cooperative Problem Solving
Duration:00:03:44
Emotional Intelligence and Empathy in AI Agents
Duration:00:03:57
Trust, Transparency, and Interpretability
Duration:00:03:58
Chapter 7: Embodiment and Environment
Duration:00:00:05
Physical vs. Virtual Embodied Agents
Duration:00:03:59
Sensorimotor Integration
Duration:00:04:15
Interaction with Physical Objects and Spaces
Duration:00:04:03
Simulation Environments for Agent Training
Duration:00:04:04
Agent Behavior in Open vs. Closed Worlds
Duration:00:03:36
Role of Environment in Shaping Agency
Duration:00:04:10
Chapter 8: Agentic AI in Society
Duration:00:00:05
Autonomous Vehicles and Transportation Agents
Duration:00:04:03
Personal Assistants and Companions
Duration:00:03:45
Healthcare Applications and Diagnostic Agents
Duration:00:03:39
Educational and Tutoring Systems
Duration:00:03:45
Economic Agents in Markets and Trading
Duration:00:04:06
Governance, Surveillance, and Policy Implications
Duration:00:03:48
Chapter 9: Ethics and Responsibility
Duration:00:00:04
Accountability and Liability in Agentic Decisions
Duration:00:03:55
Algorithmic Bias and Fairness
Duration:00:03:59
Value Alignment and AI Safety
Duration:00:03:55
Autonomy vs. Human Oversight
Duration:00:04:12
Regulation and Governance of Agentic AI
Duration:00:03:49
Philosophical Debates on Artificial Morality
Duration:00:03:45
Chapter 10: Building Agentic AI Systems
Duration:00:00:05
Toolkits, Libraries, and Frameworks
Duration:00:03:32
Design Principles and Best Practices
Duration:00:03:14
Prototyping and Testing Agentic Behaviors
Duration:00:03:47
Debugging and Evaluation of Agent Autonomy
Duration:00:03:46
Deployment Considerations and Scalability
Duration:00:03:53
Case Studies: Real-World Applications and Lessons Learned
Duration:00:04:00
Chapter 11: Future Directions and Challenges
Duration:00:00:05
Towards Artificial General Agency
Duration:00:03:44
Integrating Consciousness and Self-Awareness
Duration:00:03:32
Multi-Agent Collectives and Emergent Behavior
Duration:00:03:34
Hybrid Human-AI Teams
Duration:00:03:17
Risks of Misaligned Agency
Duration:00:03:26
Speculations on the Role of Agentic AI in the Next Century
Duration:00:03:51