Intelligence is defined as the ability to learn, reason, and solve problems. There are various approaches to defining and assessing intelligence, including psychometric testing which measures cognitive abilities, and multiple intelligences theories which propose separate abilities. Intelligence tests measure abilities like verbal, abstract, and quantitative reasoning. The Stanford-Binet Intelligence Scale is a widely-used and reliable test that assesses intelligence through subscales in these cognitive areas from childhood through adulthood. Fluid intelligence refers to abstract reasoning ability while crystallized intelligence involves accumulated knowledge and skills over life experiences. Learning is defined as a relatively permanent change in behavior resulting from experience.
Intelligence test used in the forensic psychology.
There are different tests are used to measure the intelligence or IQ of a person. Such as,
Ravens Progressive Matrices
Bhatia Battery of Intelligence
Culture Fair test
Wechsler scale
Alexander Pass a long test
etc.
Cognitive psychology is a relatively young branch of psychology, yet it has quickly grown to become one of the most popular subfields. Few Practical Application of Cognitive Psychology(Science),Thinking, decision-making/increasing decision making accuracy, problem-solving, learning /structuring educational curricula to enhance learning , attention,Memory/Improving memory, forgetting, and
language acquisition.
But what exactly is cognitive psychology?
What do cognitive psychologists do?
PSYCHOLOGY-Thinking and Problem SolvingBlixs Phire
Thinking
-is type of behavior that uses as “inner representations” of objects and events.-the symbolic reference deals with remembered,absent or imagined things and events,including those and elaborates on what is present in perception and movement
Thinking Process Involves:
Problem Solving
Problem Solving*whenever goal-oriented activity is blocked,or whenever a need remained unfulfilled,or perplexity unresolved,there is a problem.
* Solving a problems usually involves discovering a correct response to a new situation*It involves the appropriate combination of concepts ,ideas and skills.
Intelligence test used in the forensic psychology.
There are different tests are used to measure the intelligence or IQ of a person. Such as,
Ravens Progressive Matrices
Bhatia Battery of Intelligence
Culture Fair test
Wechsler scale
Alexander Pass a long test
etc.
Cognitive psychology is a relatively young branch of psychology, yet it has quickly grown to become one of the most popular subfields. Few Practical Application of Cognitive Psychology(Science),Thinking, decision-making/increasing decision making accuracy, problem-solving, learning /structuring educational curricula to enhance learning , attention,Memory/Improving memory, forgetting, and
language acquisition.
But what exactly is cognitive psychology?
What do cognitive psychologists do?
PSYCHOLOGY-Thinking and Problem SolvingBlixs Phire
Thinking
-is type of behavior that uses as “inner representations” of objects and events.-the symbolic reference deals with remembered,absent or imagined things and events,including those and elaborates on what is present in perception and movement
Thinking Process Involves:
Problem Solving
Problem Solving*whenever goal-oriented activity is blocked,or whenever a need remained unfulfilled,or perplexity unresolved,there is a problem.
* Solving a problems usually involves discovering a correct response to a new situation*It involves the appropriate combination of concepts ,ideas and skills.
Meaning and Concept of Intelligence, nature and functions of Intelligence, Guilford structure of intellect Model, Howard Gardner theory of Multiple Intelligence.
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intelligence defination and types theories of intelligenceAkash Dingra
expalination about intelligence.,Some Definitions,Types of Intelligence,Intelligence/Aptitude,Theories of Intelligence,Assessment of Intelligence,Terman Classification of IQ,Wechsler Scale of Intelligence,Raven’s Progressive Matrices Tests (RPMT)
Learners with different mental abilitiessitamajhi1
Mental ability, Learners with different mental abilities- intelligence, emotional intelligence and creativity: their concept, nature, and assessment. categorization of learner
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
2. What is Intelligence ?
Intelligence is the ability to learn about, learn from
understand, and interact with one’s environment. This general
ability consist of a number of specific abilities :
Adaptability to a new environment or to
change in the current environment
Capacity for knowledge and the ability to
acquire it
Capacity for reason & abstract thought
Ability to comprehend relationships
Ability to evaluate & judge
Capacity for original and productive thought
3. Approaches to define Intelligence:
• PSYCHOMETRIC APPROACH : gives emphasis on quantifying
cognitive factors that compose intellectual performance.
Lumpers ( psychologist who adherents of psychometric approach)
o Lump or put the cognitive factors together. They define
Intelligence as a general unified capacity for reasoning,
acquiring knowledge and solving problems.
Splitters ( psychologist who adherents of psychometric approach)
o Define Intelligence as consisting of separate mental
abilities that function more or less independently. Howard
Gardner, one of the splitters was against the idea that
intelligence is a single factor that can be measured by a
single score, such as IQ score. Based on Gadner’s multiple-
factor theory there are at least eight multiple
intelligences.
4. Gardner’s Multiple-factor
Theory
LINGUISTIC
INTELLIGENCE
The ability to use the language
proficiently
MUSICAL
INTELLIGENCE
An linking to music; the person can compose
songs, sings very well
LOGICAL-
MATHEMATICAL
INTELLIGENCE
Involves numeric ability, good in abstract
making
SPATIAL
INTELLIGENCE
The ability to correlate lines rhythm,
colors, spaces, these people tend to
become successful engineers, architects &
interior designers.
BODILY-KINESTHETIC
INTELLIGENCE
Good coordination to movements; ability in
athletics
INTRAPERSONAL
INTELLIGENCE
Ability to understand oneself, own
thoughts and feelings
5. Approaches..
• INFORMATION-PROCESSING APPROACH : defines
intelligence by analyzing contents of the cognitive processes
which people employ to solve problems.
Robert Strenberg’s (1985) Triarchic Theory – states that
intelligence can be divided into three ways of gathering and
processing information. These are :
1) Analytical or logical thinking skills which are measured by
traditional intelligence tests
2) Problem-solving skills which need creative thinking
3) Practical thinking skills which help in the adjustment process of the
individual.
6. Assessment of Intelligence
Alfred Binet (french psychologist)
• Intelligences is a collection of mental abilities and the means to
measure one’s intelligence is through his ability to do cognitive tasks
such as understanding the meaning of terminologies or being able to
follow instruction.
• In 1905, Binet and psychiatrist Theodore Simon succeeded in
developing the first standardized intelligence test known as Binet-
Simon Intelligence Scale. It contained questions that evaluate
vocabulary, memory, common knowledge and other cognitive
abilities.
• Mental Age – method of estimating child’s intelligence through
comparing child’s intelligence through comparing child’s score on an
intelligence test with the scores of average children of the same age.
7. • Psychological Test - written, visual, or verbal evaluations
administered to assess the cognitive and emotional
functioning of children and adults.
• Two Characteristics of Good Psychological Test :
Reliability : refers to consistency. It means that a person’s scores on a
test or on similar tests given at different periods of time are close or
almost the same.
Validity : means that the test measures what it is supposed to measure.
Characteristics of a Good Test
8. Examples of Intelligence Test
• Raven Progressive Matrices – a widely use intelligence test in
many research and applied settings. In each item, one is asked
to find missing pattern in a series.
RPM was designed primarily as a measure of Spearman’s g.
There are 3 different tests for different abilities:
Colored Progressive Matrices (younger children & special
groups)
9. Standford Progressive Matrices ( average 6-80 years old)
Advance Progressive Matrices ( above average adolescents &
adults)
Examples…
10. • The Stanford-Binet Intelligence Scale: Fourth Edition (SB: FE) is a standardized
test that measures intelligence and cognitive abilities in children and adults,
from age two through mature adulthood.
• The Stanford-Binet Intelligence Scale is considered to be one of the best and
most widely used intelligence tests available. It is especially useful in providing
intellectual assessment in young children, adolescents, and young adults.
• Purpose : The Stanford-Binet Intelligence Scale was originally developed to help
place children in appropriate educational settings.
• The Stanford-Binet Intelligence Scale is comprised of four cognitive area scores
which together determine the composite score and factor scores. These area
scores include: Verbal Reasoning, Abstract/Visual Reasoning, Quantitative
Reasoning, and Short-Term Memory.
Examples…
11. • Verbal reasoning is understanding and reasoning using
concepts framed in words. It aims at evaluating ability to
think constructively, rather than at simple fluency
or vocabulary recognition.
Examples…
12. • Abstract Reasoning : the ability to analyze information
and solve problems on a complex, thought-based level.
Abstract reasoning tasks involve skills such as :
Forming theories about the nature of objects, ideas,
processes, and problem solving;
– Understanding subjects on a complex level through
analysis and evaluation;
– Ability to apply knowledge in problem-solving using theory,
metaphor, or complex analogy; and
– Understanding relationships between verbal and non-
verbal ideas
Examples…
13. • Fluid intelligence refers to the
degree of flexibility in thinking
and the ability to reason
abstractly.
• Crystallized intelligence refers
to the degree in which an
accumulation of knowledge and
skills has taken place in the
course of life.
Fluid intelligence and crystallized intelligence
14.
15.
16. What is Learning?
• Learning refers to relatively permanent change in
behavior that occurs as a result of practice,
experience or training.
Learning is a change in Behavior, for better or
worst.
It is change that occurs through practices or
experience; changes in behavior due to
maturation, sickness, accidents, fatigue, drug-
intake are not learning.
The changes in behavior must be relatively
permanent, that is, it must last for a