Agents and Computational Autonomy: Potential, Risks, and Solutions - Couverture souple

 
9783662165317: Agents and Computational Autonomy: Potential, Risks, and Solutions

Synopsis

Models and Typologies.- Agency, Learning and Animal-Based Reinforcement Learning.- Agent Belief Autonomy in Open Multi-agent Systems.- Dimensions of Adjustable Autonomy and Mixed-Initiative Interaction.- Founding Autonomy: The Dialectics Between (Social) Environment and Agent's Architecture and Powers.- Agent Autonomy Through the 3 M Motivational Taxonomy.- A Taxonomy of Autonomy in Multiagent Organisation.- Autonomy and Reasoning for Natural and Artificial Agents.- Types and Limits of Agent Autonomy.- Autonomy in Multi-agent Systems: A Classification Attempt.- Autonomy and Agent Deliberation.- Requirements for Achieving Software Agents Autonomy and Defining Their Responsibility.- Design and Applications.- Agent Design from the Autonomy Perspective.- From Individual Based Modeling to Autonomy Oriented Computation.- Toward Quantum Computational Agents.- Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper.- Autonomy in an Organizational Context.- Dynamic Imputation of Agent Cognition.- I am Autonomous, You are Autonomous.- Agents with Initiative: A Preliminary Report.- A Teamwork Coordination Strategy Using Hierarchical Role Relationship Matching.- A Dialectic Architecture for Computational Autonomy.

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