Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCEKhushboo Pal
n artificial intelligence, an intelligent agent (IA) is an autonomous entity which acts, directing its activity towards achieving goals (i.e. it is an agent), upon an environment using observation through sensors and consequent actuators (i.e. it is intelligent).An intelligent agent is a program that can make decisions or perform a service based on its environment, user input and experiences. These programs can be used to autonomously gather information on a regular, programmed schedule or when prompted by the user in real time. Intelligent agents may also be referred to as a bot, which is short for robot.Examples of intelligent agents
AI assistants, like Alexa and Siri, are examples of intelligent agents as they use sensors to perceive a request made by the user and the automatically collect data from the internet without the user's help. They can be used to gather information about its perceived environment such as weather and time.
Infogate is another example of an intelligent agent, which alerts users about news based on specified topics of interest.
Autonomous vehicles could also be considered intelligent agents as they use sensors, GPS and cameras to make reactive decisions based on the environment to maneuver through traffic.
Examples of intelligent agents
AI assistants, like Alexa and Siri, are examples of intelligent agents as they use sensors to perceive a request made by the user and the automatically collect data from the internet without the user's help. They can be used to gather information about its perceived environment such as weather and time.
Infogate is another example of an intelligent agent, which alerts users about news based on specified topics of interest.
Autonomous vehicles could also be considered intelligent agents as they use sensors, GPS and cameras to make reactive decisions based on the environment to maneuver through traffic.
This presentation educates you about AI - Agents & Environments, Agent Terminology, Rationality, What is Ideal Rational Agent?, The Structure of Intelligent Agents and Properties of Environment.
For more topics stay tuned with Learnbay.
AI Agents, Agents in Artificial IntelligenceKirti Verma
HI guys,
I am starting my very first course on Artificial Intelligence(AI).
if your are interested in the above topic you can follow this course to improve your knowledge.
...................................
If You Like This video give it a thumbs up
SUBSCRIBE
and SHARE this video https://youtu.be/2BV-l5WQYdg
#artificial intelligence
#FREE ONLINE COURSE
#ai
you can view the slide presented in the above video https://www.slideshare.net/KirtiVerma4/artificial-intellegence-introduction
FOLLOW PART #2 OF THE SERIES
https://youtu.be/fM6CQ2Vsdjw
ENJOYYY
Intelligent Agent PPT ON SLIDESHARE IN ARTIFICIAL INTELLIGENCEKhushboo Pal
n artificial intelligence, an intelligent agent (IA) is an autonomous entity which acts, directing its activity towards achieving goals (i.e. it is an agent), upon an environment using observation through sensors and consequent actuators (i.e. it is intelligent).An intelligent agent is a program that can make decisions or perform a service based on its environment, user input and experiences. These programs can be used to autonomously gather information on a regular, programmed schedule or when prompted by the user in real time. Intelligent agents may also be referred to as a bot, which is short for robot.Examples of intelligent agents
AI assistants, like Alexa and Siri, are examples of intelligent agents as they use sensors to perceive a request made by the user and the automatically collect data from the internet without the user's help. They can be used to gather information about its perceived environment such as weather and time.
Infogate is another example of an intelligent agent, which alerts users about news based on specified topics of interest.
Autonomous vehicles could also be considered intelligent agents as they use sensors, GPS and cameras to make reactive decisions based on the environment to maneuver through traffic.
Examples of intelligent agents
AI assistants, like Alexa and Siri, are examples of intelligent agents as they use sensors to perceive a request made by the user and the automatically collect data from the internet without the user's help. They can be used to gather information about its perceived environment such as weather and time.
Infogate is another example of an intelligent agent, which alerts users about news based on specified topics of interest.
Autonomous vehicles could also be considered intelligent agents as they use sensors, GPS and cameras to make reactive decisions based on the environment to maneuver through traffic.
This presentation educates you about AI - Agents & Environments, Agent Terminology, Rationality, What is Ideal Rational Agent?, The Structure of Intelligent Agents and Properties of Environment.
For more topics stay tuned with Learnbay.
AI Agents, Agents in Artificial IntelligenceKirti Verma
HI guys,
I am starting my very first course on Artificial Intelligence(AI).
if your are interested in the above topic you can follow this course to improve your knowledge.
...................................
If You Like This video give it a thumbs up
SUBSCRIBE
and SHARE this video https://youtu.be/2BV-l5WQYdg
#artificial intelligence
#FREE ONLINE COURSE
#ai
you can view the slide presented in the above video https://www.slideshare.net/KirtiVerma4/artificial-intellegence-introduction
FOLLOW PART #2 OF THE SERIES
https://youtu.be/fM6CQ2Vsdjw
ENJOYYY
Intelligent Agents, A discovery on How A Rational Agent ActsSheetal Jain
Because this concept of developing a smart set of design principles for building successful agents, systems that can reasonably be called intelligent, is Central to artificial intelligence we need to know its thinking and action approach. This PPT covers this topic in detail.
Go and take a look and share your suggestions with me.
Hi there.
This presentation is made by me for a presentation in my university.
If you like my work do download and use please just not try to copy paste the content because if you're learning then learn from your heart.
Have great day!
Yay.... :)
Introduction of agents, Structure(configuration) of Intelligent agent,
Properties of Intelligent Agents
2.2. PEAS Description of Agents
2.3. Types of Agents: Simple Reflexive, Model Based, Goal Based, Utility Based,
Learning agent.
2.4. Types of Environments: Deterministic/Stochastic, Static/Dynamic,
Observable/Semi-observable, Single Agent/Multi Agent
Intelligent Agents, A discovery on How A Rational Agent ActsSheetal Jain
Because this concept of developing a smart set of design principles for building successful agents, systems that can reasonably be called intelligent, is Central to artificial intelligence we need to know its thinking and action approach. This PPT covers this topic in detail.
Go and take a look and share your suggestions with me.
Hi there.
This presentation is made by me for a presentation in my university.
If you like my work do download and use please just not try to copy paste the content because if you're learning then learn from your heart.
Have great day!
Yay.... :)
Introduction of agents, Structure(configuration) of Intelligent agent,
Properties of Intelligent Agents
2.2. PEAS Description of Agents
2.3. Types of Agents: Simple Reflexive, Model Based, Goal Based, Utility Based,
Learning agent.
2.4. Types of Environments: Deterministic/Stochastic, Static/Dynamic,
Observable/Semi-observable, Single Agent/Multi Agent
An e-market, or electronic market, is a virtual marketplace where buyers and sellers can engage in transactions through the use of digital platforms, such as websites, mobile apps, or social media. E-markets have become increasingly popular in recent years due to their convenience, accessibility, and global reach.
E-markets differ from traditional markets in several ways:
Global reach: E-markets have a global reach, allowing buyers and sellers to connect from anywhere in the world. This means that businesses can access new markets and reach customers that they may not have been able to reach through traditional channels.
Convenience: E-markets offer a high degree of convenience, allowing customers to shop from the comfort of their homes or on the go using mobile devices. This convenience factor can lead to higher customer satisfaction and loyalty.
Lower overhead costs: E-markets typically have lower overhead costs than traditional markets, as they do not require physical storefronts, inventory storage, or other infrastructure. This can result in lower prices for customers and higher profit margins for businesses.
24/7 availability: E-markets are available 24/7, allowing customers to shop at any time of the day or night. This can be particularly advantageous for businesses that operate in multiple time zones or that cater to customers with varying schedules.
Greater competition: E-markets can be highly competitive, with many businesses vying for the attention and loyalty of customers. This can result in lower prices, higher quality products, and better customer service as businesses compete for market share.
An e-market, or electronic market, is a virtual marketplace where buyers and sellers can engage in transactions through the use of digital platforms, such as websites, mobile apps, or social media. E-markets have become increasingly popular in recent years due to their convenience, accessibility, and global reach.
E-markets differ from traditional markets in several ways:
Global reach: E-markets have a global reach, allowing buyers and sellers to connect from anywhere in the world. This means that businesses can access new markets and reach customers that they may not have been able to reach through traditional channels.
Convenience: E-markets offer a high degree of convenience, allowing customers to shop from the comfort of their homes or on the go using mobile devices. This convenience factor can lead to higher customer satisfaction and loyalty.
Lower overhead costs: E-markets typically have lower overhead costs than traditional markets, as they do not require physical storefronts, inventory storage, or other infrastructure. This can result in lower prices for customers and higher profit margins for businesses.
24/7 availability: E-markets are available 24/7, allowing customers to shop at any time of the day or night. This can be particularly advantageous for businesses that operate in multiple time zones or that cater to customers with varying schedules.
Greater competition: E-markets can be highly competitive, with many businesses vying for the attention and loyalty of customers. This can result in lower prices, higher quality products, and better customer service as businesses compete for market share.
Servers: Servers are the backbone of e-commerce websites. They store the website data, including product information, customer details, and transactional data. They are responsible for processing customer requests, generating dynamic content, and serving web pages to customers.
Storage devices: Storage devices such as hard disk drives (HDDs) or solid-state drives (SSDs) are used to store the website data and application files. They provide the necessary storage capacity to accommodate large amounts of data, such as product images, videos, and customer information.
Routers and switches: Routers and switches are used to connect the e-commerce website to the internet and facilitate data transfer between different devices. They help to ensure that data is transmitted quickly and reliably, and that the website is accessible to customers from anywhere in the world.
Firewalls: Firewalls are used to protect the e-commerce website from unauthorized access and malicious attacks. They monitor incoming and outgoing network traffic
Servers: Servers are the backbone of e-commerce websites. They store the website data, including product information, customer details, and transactional data. They are responsible for processing customer requests, generating dynamic content, and serving web pages to customers.
Storage devices: Storage devices such as hard disk drives (HDDs) or solid-state drives (SSDs) are used to store the website data and application files. They provide the necessary storage capacity to accommodate large amounts of data, such as product images, videos, and customer information.
Routers and switches: Routers and switches are used to connect the e-commerce website to the internet and facilitate data transfer between different devices. They help to ensure that data is transmitted quickly and reliably, and that the website is accessible to customers from anywhere in the world.
Firewalls: Firewalls are used to protect the e-commerce website from unauthorized access and malicious attacks. They monitor incoming and outgoing network traffic
Online storefront creation: A business creates an online storefront, which serves as its virtual shop where customers can browse products or services, place orders, and make payments.
Product listing: The business lists its products or services on the online storefront, along with relevant information such as price, product description, and images.
Payment gateway integration: The business integrates a payment gateway into its online storefront, which allows customers to securely make payments online using credit cards, debit cards, or other payment methods.
Order processing: When a customer places an order, the business receives the order information through the online storefront. The business then processes the order, which may involve verifying the availability of the product, preparing the product for shipping, and generating a shipping label.
Shipping and delivery: The business ships the product to the customer's address using a third-party logistics provider or its own delivery service. The customer is provided with tracking information to monitor the status of the shipment.
Customer service: The business provides customer service to address any issues or concerns that the customer may have regarding the product or service.
Example:
Let's take the example of a clothing store that sells its products online through its e-commerce website. The store creates an online storefront and lists its products, which include dresses, shirts, pants, and accessories. Customers can browse the products, select the items they wish to purchase, and make payments online using a payment gateway such as PayPal or Stripe.
Once the order is received, the store processes the order and prepares the product for shipping. The product is then shipped to the customer's address using a logistics provider such as FedEx or UPS. The customer can track the shipment using the tracking information provided by the store.
If the customer is not satisfied with the product, they can contact the store's customer service and initiate a return or exchange. The store handles the return or exchange process and ensures that the customer is satisfied with their purchase.
Define e-market and describe how they differ from traditional market
An e-market, or electronic market, is a virtual marketplace where buyers and sellers can engage in transactions through the use of digital platforms, such as websites, mobile apps, or social media. E-markets have become increasingly popular in recent years due to their convenience, accessibility, and global reach.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
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We specializes in exporting high quality Research chemical, medical intermediate, Pharmaceutical chemicals and so on. Products are exported to USA, Canada, France, Korea, Japan,Russia, Southeast Asia and other countries.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
2. Instructional Objectives
⦿Define an agent.
⦿Agents Classification.
⦿Define an Intelligent agent.
⦿Define a Rational agent.
⦿Explain classes or Types of
intelligent agents
⦿Applications of Intelligent agent
3. Agents
⦿ An agent
perceiving
is anything that can be viewed as
its environment through sensors and
acting upon that environment through effectors.
⦿ A human agent has eyes, ears, and other organs for
sensors, and hands, legs, mouth, and other body
parts for effectors/actuators.
⦿ A robotic agent substitutes cameras and infrared
range finders for the sensors and various motors for
the effectors.
4. Agents
⦿Operate in an environment.
⦿Perceives and acts upon it's environment
through actuators/sensors and have its goals.
.
6. Sensors & Effectors
⦿ An agent Perceives its environment through
sensors.
⦿ The complete set of inputs at a given time is called
percept.
⦿ The current percept, or a sequence of percepts can
influence the actions of an agent.
⦿ It can change the environment through
effectors.
⦿ An operation involving an actuator is called
an action ,which can be grouped in to action
sequences.
8. Examples of agents
⦿Humans
eyes, ears, skin, taste buds, etc. for Sensors.
hands, fingers, legs, mouth for effectors.
etc. for
⦿ Robots
camera, infrared, bumper, etc. for sensors.
grippers, wheels, lights, speakers, effectors.
9. Structure of agents
⦿ A simple agent program can be defined
mathematically as an agent function which
maps every possible precepts sequence to a
possible action the agent can perform.
⦿F: p*-> A
⦿ the term percept is use to the agent's
perceptional inputs at any given instant.
10. Intelligent agents
⦿ Fundamental functionalities of
intelligence Acting are:
Sensing
Understanding, Reasoning, learning
⦿ In order to act you must sense. Blind actions is not
a characterization of intelligence.
⦿ Robotics: sensing and acting.
Understanding not necessary.
⦿ Sensing needs understanding to be useful.
12. Rational Agent
⦿AI is about building rational agents.
⦿ An agent is something that perceives and
acts.
⦿A rational agent always does the right
thing as-
What are the Functionalities ?(Goals)
What are the components?
How do we build them?
13.
14. Rationality
⦿Perfect Rationality:
Assumes that the rational agent knows
all and will take the action that maximize
the utility.
Human beings do not satisfy this
definition of rationality.
15. Agent Environment
⦿ Environments in which agents operate
can be defined in different ways.
definitions as referring to the way the
environment appears from the point of
⦿ It is helpful to view the following
view of the agent itself.
16. Classes of Intelligent
Agents
in to five
perceived
⦿ Intelligent agents are grouped
classes based on their degree of
intelligence and capability.
Simple reflex agents
Model based reflex agents
Goal based agents
Utility based agents
Learning agents
17. 1.Simple reflex agents
⦿ Simple reflex agents act only on the basis of the
current percept, ignoring the rest of the percept
history. The agent function is based on the condition-
action rule: if condition then action.
⦿ Succeeds when the environment is fully observable.
⦿ Some reflex agents can also contain information on
their current state which allows them to disregard
conditions.
19. 2. Model based reflex
agents
⦿A model-based
handle a
agent
partially
can
observable
environment.
⦿ This knowledge about "how the world
evolves" is called a model of the world,
hence the name "model-based agent".
21. 3.Goal based agents
⦿ Goal-based agents further expand on the
capabilities of the model-based agents, by using
"goal" information.
⦿ Goal information describes situations that are
desirable. This allows the agent a way to choose
among multiple possibilities, selecting the one
which reaches a goal state.
⦿ Search and planning are the subfields of artificial
intelligence devoted to finding action sequences
that achieve the agent's goals.
23. 4. Utility based agents
⦿ Goal-based agents only distinguish between goal states
and non-goal states.
⦿ It is possible to define a measure of how desirable a
particular state is. This measure can be obtained through
the use of a utility function which maps a state to a
measure of the utility of the state.
⦿ A more general performance measure should allow a
comparison of different world states according to exactly
how happy they would make the agent. The term utility,
can be used to describe how "happy" the agent is.
25. 5. Learning agents
⦿ Learning has an advantage that it allows the agents to
initially operate in unknown environments and to become
more competent than its initial knowledge alone might
allow.
⦿ The most important distinction is between the "learning
element", which is responsible for making improvements,
and the "performance element", which is responsible for
selecting external actions.
⦿ The learning element uses feedback from the "critic" on
how the agent is doing and determines how the
performance element should be modified to do better in the
future.
26. Learning agents
⦿ The last component of the learning agent is
the "problem generator". It is responsible for
suggesting actions that will lead to new and
informative experiences.