SlideShare a Scribd company logo
1 of 25
Dr. Mustafa Jarrar [email_address]   University of Birzeit Chapter 2 Intelligent Agents Advanced Artificial Intelligence  (SCOM7341) Lecture Notes,  Advanced Artificial Intelligence (SCOM7341)  University of Birzeit 2 nd  Semester, 2011
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Agents ,[object Object],[object Object],[object Object],[object Object],[object Object]
Agents and environments ,[object Object],[object Object],[object Object],[object Object]
Vacuum-cleaner world ,[object Object],[object Object]
A vacuum-cleaner Agent Tabulation of an agent function of the vacuum-cleaner
Rational Agents ,[object Object],[object Object],[object Object]
Rational Agents ,[object Object]
Rational Agents ,[object Object],[object Object],[object Object]
PEAS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PEAS ,[object Object],[object Object],[object Object],[object Object],[object Object]
PEAS ,[object Object],[object Object],[object Object],[object Object],[object Object]
PEAS ,[object Object],[object Object],[object Object],[object Object],[object Object]
PEAS ,[object Object],[object Object],[object Object],[object Object],[object Object]
Environment Types ,[object Object],[object Object],[object Object],[object Object]
Environment Types ,[object Object],[object Object],[object Object]
Environment Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Agent Functions & Programs ,[object Object],[object Object],[object Object]
Agent Types ,[object Object],[object Object],[object Object],[object Object],[object Object]
Simple Reflex Agents The agent selects an action(s) based on the current precept, ignoring the rest of the precept history.
Model-based Reflex Agents The agent decides its action(s) based on a predefined set of condition-action rules. A telephone operator/answering machine.
Goal-based Agents The agent decides its action(s) based on a known goal. For example, a GPS system finding a path to certain destination.
Utility-based Agents The agent decides its action(s) based on utilities/preferences. a GPS system finding a shortest/fastest/safer path to certain destination.
Learning Agents The agent adapts its action(s) based on feedback (not only sensors).
Discussion Panel Summarize the new knowledge you have really learned about agents? Do you really agree that it is possible to realize such agents, or it is only another name for programs? What is the difference between an agent and a program? When an agent is not a program? When the program is not an agent.

More Related Content

What's hot

Ai 02 intelligent_agents(1)
Ai 02 intelligent_agents(1)Ai 02 intelligent_agents(1)
Ai 02 intelligent_agents(1)
Mohammed Romi
 
Introduction To Artificial Intelligence
Introduction To Artificial IntelligenceIntroduction To Artificial Intelligence
Introduction To Artificial Intelligence
NeHal VeRma
 

What's hot (13)

Intelligent agents (bsc csit) lec 2
Intelligent agents (bsc csit) lec 2Intelligent agents (bsc csit) lec 2
Intelligent agents (bsc csit) lec 2
 
Lecture 2
Lecture 2Lecture 2
Lecture 2
 
Robotics and agents
Robotics and agentsRobotics and agents
Robotics and agents
 
M2 agents
M2 agentsM2 agents
M2 agents
 
Agents_AI.ppt
Agents_AI.pptAgents_AI.ppt
Agents_AI.ppt
 
Ai 02 intelligent_agents(1)
Ai 02 intelligent_agents(1)Ai 02 intelligent_agents(1)
Ai 02 intelligent_agents(1)
 
Intelligent Agents
Intelligent Agents Intelligent Agents
Intelligent Agents
 
AI - Intelligent Agents
AI - Intelligent AgentsAI - Intelligent Agents
AI - Intelligent Agents
 
Agents and environments
Agents and environmentsAgents and environments
Agents and environments
 
Artificial intelligence introduction
Artificial intelligence introductionArtificial intelligence introduction
Artificial intelligence introduction
 
Introduction To Artificial Intelligence
Introduction To Artificial IntelligenceIntroduction To Artificial Intelligence
Introduction To Artificial Intelligence
 
Artificial Intelligent Agents
Artificial Intelligent AgentsArtificial Intelligent Agents
Artificial Intelligent Agents
 
Lec 2-agents
Lec 2-agentsLec 2-agents
Lec 2-agents
 

Viewers also liked (7)

Jarrar.lecture notes.aai.2011s.descriptionlogic
Jarrar.lecture notes.aai.2011s.descriptionlogicJarrar.lecture notes.aai.2011s.descriptionlogic
Jarrar.lecture notes.aai.2011s.descriptionlogic
 
Richardson Eyres - Three Peaks Challenge Competition
Richardson Eyres - Three Peaks Challenge Competition Richardson Eyres - Three Peaks Challenge Competition
Richardson Eyres - Three Peaks Challenge Competition
 
Jarrar.lecture notes.aai.2011s.ch4.informedsearch
Jarrar.lecture notes.aai.2011s.ch4.informedsearchJarrar.lecture notes.aai.2011s.ch4.informedsearch
Jarrar.lecture notes.aai.2011s.ch4.informedsearch
 
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearch
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearchJarrar.lecture notes.aai.2011s.ch3.uniformedsearch
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearch
 
Jarrar.lecture notes.aai.2011s.ch8.fol.introduction
Jarrar.lecture notes.aai.2011s.ch8.fol.introductionJarrar.lecture notes.aai.2011s.ch8.fol.introduction
Jarrar.lecture notes.aai.2011s.ch8.fol.introduction
 
Jarrar.lecture notes.aai.2011s.ontology part5_egovernmentcasestudy
Jarrar.lecture notes.aai.2011s.ontology part5_egovernmentcasestudyJarrar.lecture notes.aai.2011s.ontology part5_egovernmentcasestudy
Jarrar.lecture notes.aai.2011s.ontology part5_egovernmentcasestudy
 
De cuong báo cáo thuc tap khoá luận tot nghiep
De cuong báo cáo thuc tap   khoá luận tot nghiepDe cuong báo cáo thuc tap   khoá luận tot nghiep
De cuong báo cáo thuc tap khoá luận tot nghiep
 

Similar to Jarrar.lecture notes.aai.2011s.ch2.intelligentagents

introduction to inteligent IntelligentAgent.ppt
introduction to inteligent IntelligentAgent.pptintroduction to inteligent IntelligentAgent.ppt
introduction to inteligent IntelligentAgent.ppt
dejene3
 
ai-slides-1233566181695672-2 (1).pdf
ai-slides-1233566181695672-2 (1).pdfai-slides-1233566181695672-2 (1).pdf
ai-slides-1233566181695672-2 (1).pdf
ShivareddyGangam
 

Similar to Jarrar.lecture notes.aai.2011s.ch2.intelligentagents (20)

m2-agents.ppt
m2-agents.pptm2-agents.ppt
m2-agents.ppt
 
introduction to inteligent IntelligentAgent.ppt
introduction to inteligent IntelligentAgent.pptintroduction to inteligent IntelligentAgent.ppt
introduction to inteligent IntelligentAgent.ppt
 
ai-slides-1233566181695672-2 (1).pdf
ai-slides-1233566181695672-2 (1).pdfai-slides-1233566181695672-2 (1).pdf
ai-slides-1233566181695672-2 (1).pdf
 
agents in ai ppt
agents in ai pptagents in ai ppt
agents in ai ppt
 
Slide01 - Intelligent Agents.ppt
Slide01 - Intelligent Agents.pptSlide01 - Intelligent Agents.ppt
Slide01 - Intelligent Agents.ppt
 
Intelligent agents
Intelligent agentsIntelligent agents
Intelligent agents
 
Ai u1
Ai u1Ai u1
Ai u1
 
Week 2.pdf
Week 2.pdfWeek 2.pdf
Week 2.pdf
 
AI_Ch2.pptx
AI_Ch2.pptxAI_Ch2.pptx
AI_Ch2.pptx
 
Unit 1.ppt
Unit 1.pptUnit 1.ppt
Unit 1.ppt
 
m2-agents.pptx
m2-agents.pptxm2-agents.pptx
m2-agents.pptx
 
Introduction To Artificial Intelligence
Introduction To Artificial IntelligenceIntroduction To Artificial Intelligence
Introduction To Artificial Intelligence
 
Agents-and-Problem-Solving-20022024-094442am.pdf
Agents-and-Problem-Solving-20022024-094442am.pdfAgents-and-Problem-Solving-20022024-094442am.pdf
Agents-and-Problem-Solving-20022024-094442am.pdf
 
Unit-1.pptx
Unit-1.pptxUnit-1.pptx
Unit-1.pptx
 
AI Basic.pptx
AI Basic.pptxAI Basic.pptx
AI Basic.pptx
 
AI Agents, Agents in Artificial Intelligence
AI Agents, Agents in Artificial IntelligenceAI Agents, Agents in Artificial Intelligence
AI Agents, Agents in Artificial Intelligence
 
mosfet3inteliggent ageent preserve2ss.ppt
mosfet3inteliggent ageent preserve2ss.pptmosfet3inteliggent ageent preserve2ss.ppt
mosfet3inteliggent ageent preserve2ss.ppt
 
Intelligent Agents
Intelligent AgentsIntelligent Agents
Intelligent Agents
 
AI_02_Intelligent Agents.pptx
AI_02_Intelligent Agents.pptxAI_02_Intelligent Agents.pptx
AI_02_Intelligent Agents.pptx
 
Infosec
InfosecInfosec
Infosec
 

More from PalGov

Jarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inferenceJarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inference
PalGov
 
Jarrar.lecture notes.aai.2011s.ch2.intelligentagents
Jarrar.lecture notes.aai.2011s.ch2.intelligentagentsJarrar.lecture notes.aai.2011s.ch2.intelligentagents
Jarrar.lecture notes.aai.2011s.ch2.intelligentagents
PalGov
 
Jarrar.lecture notes.aai.2011s.ontology part4_methodologies
Jarrar.lecture notes.aai.2011s.ontology part4_methodologiesJarrar.lecture notes.aai.2011s.ontology part4_methodologies
Jarrar.lecture notes.aai.2011s.ontology part4_methodologies
PalGov
 
Jarrar.lecture notes.aai.2011s.ontology part3_double-articulation
Jarrar.lecture notes.aai.2011s.ontology part3_double-articulationJarrar.lecture notes.aai.2011s.ontology part3_double-articulation
Jarrar.lecture notes.aai.2011s.ontology part3_double-articulation
PalGov
 
Jarrar.lecture notes.aai.2011s.ontology part2_whatisontology
Jarrar.lecture notes.aai.2011s.ontology part2_whatisontologyJarrar.lecture notes.aai.2011s.ontology part2_whatisontology
Jarrar.lecture notes.aai.2011s.ontology part2_whatisontology
PalGov
 
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introductionJarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
PalGov
 
Jarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inferenceJarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inference
PalGov
 
Jarrar.lecture notes.aai.2011s.ch7.p logic
Jarrar.lecture notes.aai.2011s.ch7.p logicJarrar.lecture notes.aai.2011s.ch7.p logic
Jarrar.lecture notes.aai.2011s.ch7.p logic
PalGov
 
Jarrar.lecture notes.aai.2011s.ch6.games
Jarrar.lecture notes.aai.2011s.ch6.gamesJarrar.lecture notes.aai.2011s.ch6.games
Jarrar.lecture notes.aai.2011s.ch6.games
PalGov
 

More from PalGov (9)

Jarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inferenceJarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inference
 
Jarrar.lecture notes.aai.2011s.ch2.intelligentagents
Jarrar.lecture notes.aai.2011s.ch2.intelligentagentsJarrar.lecture notes.aai.2011s.ch2.intelligentagents
Jarrar.lecture notes.aai.2011s.ch2.intelligentagents
 
Jarrar.lecture notes.aai.2011s.ontology part4_methodologies
Jarrar.lecture notes.aai.2011s.ontology part4_methodologiesJarrar.lecture notes.aai.2011s.ontology part4_methodologies
Jarrar.lecture notes.aai.2011s.ontology part4_methodologies
 
Jarrar.lecture notes.aai.2011s.ontology part3_double-articulation
Jarrar.lecture notes.aai.2011s.ontology part3_double-articulationJarrar.lecture notes.aai.2011s.ontology part3_double-articulation
Jarrar.lecture notes.aai.2011s.ontology part3_double-articulation
 
Jarrar.lecture notes.aai.2011s.ontology part2_whatisontology
Jarrar.lecture notes.aai.2011s.ontology part2_whatisontologyJarrar.lecture notes.aai.2011s.ontology part2_whatisontology
Jarrar.lecture notes.aai.2011s.ontology part2_whatisontology
 
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introductionJarrar.lecture notes.aai.2011s.ontology part1_introduction
Jarrar.lecture notes.aai.2011s.ontology part1_introduction
 
Jarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inferenceJarrar.lecture notes.aai.2011s.ch9.fol.inference
Jarrar.lecture notes.aai.2011s.ch9.fol.inference
 
Jarrar.lecture notes.aai.2011s.ch7.p logic
Jarrar.lecture notes.aai.2011s.ch7.p logicJarrar.lecture notes.aai.2011s.ch7.p logic
Jarrar.lecture notes.aai.2011s.ch7.p logic
 
Jarrar.lecture notes.aai.2011s.ch6.games
Jarrar.lecture notes.aai.2011s.ch6.gamesJarrar.lecture notes.aai.2011s.ch6.games
Jarrar.lecture notes.aai.2011s.ch6.games
 

Recently uploaded

Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
KarakKing
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 

Recently uploaded (20)

Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 

Jarrar.lecture notes.aai.2011s.ch2.intelligentagents

  • 1. Dr. Mustafa Jarrar [email_address] University of Birzeit Chapter 2 Intelligent Agents Advanced Artificial Intelligence (SCOM7341) Lecture Notes, Advanced Artificial Intelligence (SCOM7341) University of Birzeit 2 nd Semester, 2011
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. A vacuum-cleaner Agent Tabulation of an agent function of the vacuum-cleaner
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. Simple Reflex Agents The agent selects an action(s) based on the current precept, ignoring the rest of the precept history.
  • 21. Model-based Reflex Agents The agent decides its action(s) based on a predefined set of condition-action rules. A telephone operator/answering machine.
  • 22. Goal-based Agents The agent decides its action(s) based on a known goal. For example, a GPS system finding a path to certain destination.
  • 23. Utility-based Agents The agent decides its action(s) based on utilities/preferences. a GPS system finding a shortest/fastest/safer path to certain destination.
  • 24. Learning Agents The agent adapts its action(s) based on feedback (not only sensors).
  • 25. Discussion Panel Summarize the new knowledge you have really learned about agents? Do you really agree that it is possible to realize such agents, or it is only another name for programs? What is the difference between an agent and a program? When an agent is not a program? When the program is not an agent.