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4 - Agents as Intentional Systems

Authors
Publication Date
Keywords
  • Sistemi Multi-Agente Ls
  • 20474
  • Seconda Facolta' Di Ingegneria Con Sede A Cesena
  • 0031
  • Ingegneria Informatica
  • 0650
  • 2009
  • 6
  • Sistemi Multi-Agente Ls
  • 20474
  • Seconda Facolta' Di Ingegneria Con Sede A Cesena
  • 0031
  • Ingegneria Elettronica E Delle Telecomunicazioni
  • 0651
  • 2009
  • 6
Disciplines
  • Computer Science

Abstract

Agents as Intentional Systems - Multiagent Systems LS Sistemi Multiagente LS Agents as Intentional Systems Multiagent Systems LS Sistemi Multiagente LS Andrea Omicini & Michele Piunti {andrea.omicini, [email protected] Ingegneria Due Alma Mater Studiorum—Universita` di Bologna a Cesena Academic Year 2009/2010 Omicini & Piunti (Universita` di Bologna) Agents as Intentional Systems A.Y. 2009/2010 1 / 51 Outline 1 Intelligent Agents 2 Intentional Systems 3 Agents with Mental States 4 Intentions and Practical Reasoning 5 BDI Agents Omicini & Piunti (Universita` di Bologna) Agents as Intentional Systems A.Y. 2009/2010 2 / 51 Intelligent Agents Intelligent Agents According to a classical definition, an intelligent agent is a computational system capable of autonomous action and perception in some environment Reminder: Computational Autonomy Agents are autonomous as they encapsulate (the thread of ) control Control does not pass through agent boundaries only data (knowledge, information) crosses agent boundaries Agents have no interface, cannot be controlled, nor can they be invoked Looking at agents, MAS can be conceived as an aggregation of multiple distinct loci of control interacting with each other by exchanging information Omicini & Piunti (Universita` di Bologna) Agents as Intentional Systems A.Y. 2009/2010 3 / 51 Intelligent Agents Intelligent Agents According to a classical definition, an intelligent agent is a computational system capable of autonomous action and perception in some environment Reminder: Computational Autonomy Agents are autonomous as they encapsulate (the thread of ) control Control does not pass through agent boundaries only data (knowledge, information) crosses agent boundaries Agents have no interface, cannot be controlled, nor can they be invoked Looking at agents, MAS can be conceived as an aggregation of multiple distinct loci of control interacting with each other by exchanging information

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