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Creditos Iniciales
1/25/2025
Chapter 1: Introduction to Agentic AI
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Definition and Scope of Agentic Artificial Intelligence
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Historical Evolution of AI and the Emergence of Agency
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Differentiating Agentic AI from Traditional AI Systems
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Key Concepts: Autonomy, Intentionality, and Decision-Making
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Use Cases Across Industries
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Ethical and Philosophical Implications of Agency in AI
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Chapter 2: Foundations of Artificial Agency
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Theoretical Models of Agency in Cognitive Science
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Computational Representations of Agency
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Autonomy vs. Control: The Balance in AI Design
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Types of Agents: Reactive, Deliberative, and Hybrid
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Perception, Cognition, and Action in Agentic Systems
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Goal-Oriented Behavior and Planning in AI
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Chapter 3: Architectures for Agentic Systems
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Symbolic AI vs. Subsymbolic Approaches
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Multi-Agent System Architectures
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Distributed Artificial Intelligence Models
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Agent Communication Languages and Protocols
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Modular vs. Integrated Architectures
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Decentralized Decision-Making and Coordination
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Chapter 4: Learning and Adaptation in Agentic AI
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Reinforcement Learning in Agentic Environments
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Meta-Learning and Continual Learning
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Self-Supervised Learning and Representation Building
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Autonomous Goal Formation and Reward Shaping
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Curriculum Learning for Agent Development
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Evolving Policies Through Trial and Error
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Chapter 5: Decision-Making Mechanisms
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Utility-Based Decision Models
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Probabilistic and Bayesian Reasoning
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Bounded Rationality and Heuristic Strategies
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Game Theory in Multi-Agent Scenarios
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Moral and Ethical Decision-Making Frameworks
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Conflict Resolution and Negotiation Among Agents
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Chapter 6: Communication and Interaction
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Human-AI Interaction Models
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Natural Language Understanding in Agentic Systems
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Social Intelligence and Theory of Mind
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Collaboration and Cooperative Problem Solving
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Emotional Intelligence and Empathy in AI Agents
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Trust, Transparency, and Interpretability
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Chapter 7: Embodiment and Environment
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Physical vs. Virtual Embodied Agents
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Sensorimotor Integration
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Interaction with Physical Objects and Spaces
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Simulation Environments for Agent Training
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Agent Behavior in Open vs. Closed Worlds
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Role of Environment in Shaping Agency
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Chapter 8: Agentic AI in Society
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Autonomous Vehicles and Transportation Agents
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Personal Assistants and Companions
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Healthcare Applications and Diagnostic Agents
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Educational and Tutoring Systems
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Economic Agents in Markets and Trading
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Governance, Surveillance, and Policy Implications
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Chapter 9: Ethics and Responsibility
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Accountability and Liability in Agentic Decisions
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Algorithmic Bias and Fairness
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Value Alignment and AI Safety
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Autonomy vs. Human Oversight
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Regulation and Governance of Agentic AI
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Philosophical Debates on Artificial Morality
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Chapter 10: Building Agentic AI Systems
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Toolkits, Libraries, and Frameworks
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Design Principles and Best Practices
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Prototyping and Testing Agentic Behaviors
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Debugging and Evaluation of Agent Autonomy
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Deployment Considerations and Scalability
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Case Studies: Real-World Applications and Lessons Learned
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Chapter 11: Future Directions and Challenges
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Towards Artificial General Agency
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Integrating Consciousness and Self-Awareness
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Multi-Agent Collectives and Emergent Behavior
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Hybrid Human-AI Teams
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Risks of Misaligned Agency
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Speculations on the Role of Agentic AI in the Next Century
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