Science has made tremendous progress in explaining previously unexplained human phenomena through advances in data collection, processing, and machine learning. This document explores how human emotions, intuition, and first impressions could potentially be explained algorithmically and replicated by computers. While computers now surpass humans in speed and scale of certain logical decision-making, humans still have an edge in accuracy due to our strong contextual understanding from our five senses and upbringing. For machines to truly match human-level responses, they would need technology that can assimilate context as deeply as human sensory perception and rules informed by human ethics and morality.
Emotional intelligence, viewed from the perspective of the knowledge of wisdomPeter Anyebe
An omelet of the best from the west, including objectivity and simplicity; and the best from the east, which include neutrality and self-control; made in Africa to optimize the intellect and focus our feelings, for purpose attainment
Learn more about how your mind works and what you can do to make it work better! Easy to understand facts about the human mind and tips to train and stimulate your intellect.
¿Por qué participar en este seminario?
La relación que vivimos con la familia, la escuela, los amigos o la sociedad está basada en lo que sentimos en cada situación y son estas sensaciones las que condicionan nuestro comportamiento. Por tanto, si fuésemos capaces de cambiar esos sentimientos podríamos cambiar cómo actuamos.
Esta aseveración puede chocar con las creencias que hemos ido “aceptando” a lo largo de nuestra vida como: “son mis pensamientos y no mis emociones los que mandan en mis acciones”, “nací con ese carácter, es genético”, “las personas no cambian”, “si distraigo la mente las emociones bajan pero luego vuelven”, etc. Pero, aunque podemos creernos todas esas frases también tenemos clara la respuesta a la pregunta: “¿qué podría hacer yo si no sintiese miedo?”. Es decir, inconscientemente sabemos que si no apareciesen las emociones limitadoras nuestras acciones y pensamientos serían otros diferentes.
Te proponemos un seminario, práctico desde el primer momento, en el que aprenderás a liberar las emociones, hábitos, creencias y valores limitadores presentes en cualquier ámbito de tu vida. Te plantearemos ejercicios concretos, fáciles y efectivos, que te hagan consciente de tus creencias y hábitos limitadores, así como de las emociones que los respaldan y que no te permiten actuar con libertad. Una vez identificados, comprobarás lo rápido que es posible cambiarlos. De esta manera, podrás ver la vida desde otra perspectiva, más amplia, creativa y amorosa, algo que ahora mismo te puede parecer imposible.
La imaginación es el límite.
Nota: aunque en el seminario puedes obtener grandes resultados e incluso deshacerte totalmente de tu problema, por lo general te servirá como punto de partida del nuevo camino para enfrentar las dificultades en tu vida por ti mis@. Dispondrás de un nuevo enfoque y unas herramientas muy potentes y útiles, pero la rapidez en la obtención de resultados dependerá del número y profundidad de las situaciones “traumáticas” que hayas vivido y que estén contribuyendo al problema. Por tanto, para los temas más complejos es interesante realizar talleres de refuerzo, en los que aprenderás en mayor profundidad a eliminar las resistencias que encuentres a la liberación de las emociones y practicarás con supervisión durante más tiempo para mejorar tu técnica.
Emotional intelligence, viewed from the perspective of the knowledge of wisdomPeter Anyebe
An omelet of the best from the west, including objectivity and simplicity; and the best from the east, which include neutrality and self-control; made in Africa to optimize the intellect and focus our feelings, for purpose attainment
Learn more about how your mind works and what you can do to make it work better! Easy to understand facts about the human mind and tips to train and stimulate your intellect.
¿Por qué participar en este seminario?
La relación que vivimos con la familia, la escuela, los amigos o la sociedad está basada en lo que sentimos en cada situación y son estas sensaciones las que condicionan nuestro comportamiento. Por tanto, si fuésemos capaces de cambiar esos sentimientos podríamos cambiar cómo actuamos.
Esta aseveración puede chocar con las creencias que hemos ido “aceptando” a lo largo de nuestra vida como: “son mis pensamientos y no mis emociones los que mandan en mis acciones”, “nací con ese carácter, es genético”, “las personas no cambian”, “si distraigo la mente las emociones bajan pero luego vuelven”, etc. Pero, aunque podemos creernos todas esas frases también tenemos clara la respuesta a la pregunta: “¿qué podría hacer yo si no sintiese miedo?”. Es decir, inconscientemente sabemos que si no apareciesen las emociones limitadoras nuestras acciones y pensamientos serían otros diferentes.
Te proponemos un seminario, práctico desde el primer momento, en el que aprenderás a liberar las emociones, hábitos, creencias y valores limitadores presentes en cualquier ámbito de tu vida. Te plantearemos ejercicios concretos, fáciles y efectivos, que te hagan consciente de tus creencias y hábitos limitadores, así como de las emociones que los respaldan y que no te permiten actuar con libertad. Una vez identificados, comprobarás lo rápido que es posible cambiarlos. De esta manera, podrás ver la vida desde otra perspectiva, más amplia, creativa y amorosa, algo que ahora mismo te puede parecer imposible.
La imaginación es el límite.
Nota: aunque en el seminario puedes obtener grandes resultados e incluso deshacerte totalmente de tu problema, por lo general te servirá como punto de partida del nuevo camino para enfrentar las dificultades en tu vida por ti mis@. Dispondrás de un nuevo enfoque y unas herramientas muy potentes y útiles, pero la rapidez en la obtención de resultados dependerá del número y profundidad de las situaciones “traumáticas” que hayas vivido y que estén contribuyendo al problema. Por tanto, para los temas más complejos es interesante realizar talleres de refuerzo, en los que aprenderás en mayor profundidad a eliminar las resistencias que encuentres a la liberación de las emociones y practicarás con supervisión durante más tiempo para mejorar tu técnica.
Las Emociones, sus tipos - El Dolor, características y algo más...Antonio Cantando
Una pequeña descripción de las emociones, las emociones primarias y secundarias y la clasificación hecha por Robert Plutchik.
Contiene un abordaje sobre el dolor y sus características.
Descubriendo el poder de la Inteligencia EmocionalRobert Sasuke
Charla impartida por Robert Sasuke, organizada por PsicologiaDominicana.net, donde se presentan estrategias para el manejo de la Inteligencia Emocional de cada persona. Más presentaciones como estas en: www.robertsasuke.com/descargas
La voz es el principal modo de comunicación entre los hombres y
consecuentemente se ha estudiado los mecanismos de producción de
voz humana y se han creado sistemas capaces de simular y reconocer
voz electrónicamente.
Why engineers can be great at dealing with emotions at work once they get the manual.
TED-like talk for the Airbus Group Leadership University Trainer day held in Toulouse on 11 December 2014.
A few perspectives on how to bring soft subjects like "emotions at work" to engineers, using metaphors that speak to them :
- Emotions as a process (engine metaphor)
- Emotions as chemistry (what is happening to my body and why?)
- Emotions as tools (how can I be an emotions augmented manager?)
Talk given at the Neurons London Meetup in April 2018. I discuss where AI is now, what we know from biology and whether it is possible that abstract algorithms could lead to intelligence.
Security Is Like An Onion, That's Why It Makes You CryMichele Chubirka
Why is the security industry so full of fail? We spend millions of dollars on firewalls, IPS, IDS, DLP, professional penetration tests and assessments, vulnerability and compliance tools and at the end of the day, the weakest link is the user and his or her inability to make the right choices. It's enough to make a security engineer cry. The one thing you can depend upon in an enterprise is that many of our users, even with training, will still make the wrong choices. They still click on links they shouldn't, respond to phishing scams, open documents without thinking, post too much information on Twitter and Facebook, use their pet's name as passwords, etc'. But what if this isn't because users hate us or are too stupid? What if all our complaints about not being heard and our instructions regarding the best security practices have more to do with our failure to understand modern neuroscience and the human mind's resistance to change?
Chapter 7Thinking and IntelligenceFigure 7.1 Thinking .docxrobertad6
Chapter 7
Thinking and Intelligence
Figure 7.1 Thinking is an important part of our human experience, and one that has captivated people for centuries.
Today, it is one area of psychological study. The 19th-century Girl with a Book by José Ferraz de Almeida Júnior, the
20th-century sculpture The Thinker by August Rodin, and Shi Ke’s 10th-century painting Huike Thinking all reflect the
fascination with the process of human thought. (credit “middle”: modification of work by Jason Rogers; credit “right”:
modification of work by Tang Zu-Ming)
Chapter Outline
7.1 What Is Cognition?
7.2 Language
7.3 Problem Solving
7.4 What Are Intelligence and Creativity?
7.5 Measures of Intelligence
7.6 The Source of Intelligence
Introduction
Why is it so difficult to break habits—like reaching for your ringing phone even when you shouldn’t, such
as when you’re driving? How does a person who has never seen or touched snow in real life develop an
understanding of the concept of snow? How do young children acquire the ability to learn language with
no formal instruction? Psychologists who study thinking explore questions like these.
Cognitive psychologists also study intelligence. What is intelligence, and how does it vary from person
to person? Are “street smarts” a kind of intelligence, and if so, how do they relate to other types of
intelligence? What does an IQ test really measure? These questions and more will be explored in this
chapter as you study thinking and intelligence.
In other chapters, we discussed the cognitive processes of perception, learning, and memory. In this
chapter, we will focus on high-level cognitive processes. As a part of this discussion, we will consider
thinking and briefly explore the development and use of language. We will also discuss problem solving
and creativity before ending with a discussion of how intelligence is measured and how our biology
and environments interact to affect intelligence. After finishing this chapter, you will have a greater
appreciation of the higher-level cognitive processes that contribute to our distinctiveness as a species.
Chapter 7 | Thinking and Intelligence 217
7.1 What Is Cognition?
Learning Objectives
By the end of this section, you will be able to:
• Describe cognition
• Distinguish concepts and prototypes
• Explain the difference between natural and artificial concepts
Imagine all of your thoughts as if they were physical entities, swirling rapidly inside your mind. How is it
possible that the brain is able to move from one thought to the next in an organized, orderly fashion? The
brain is endlessly perceiving, processing, planning, organizing, and remembering—it is always active. Yet,
you don’t notice most of your brain’s activity as you move throughout your daily routine. This is only one
facet of the complex processes involved in cognition. Simply put, cognition is thinking, and it encompasses
the processes associated with perception, knowledge, problem solving, judgment, langu.
Chapter 7Thinking and IntelligenceFigure 7.1 Thinking .docxmccormicknadine86
Chapter 7
Thinking and Intelligence
Figure 7.1 Thinking is an important part of our human experience, and one that has captivated people for centuries.
Today, it is one area of psychological study. The 19th-century Girl with a Book by José Ferraz de Almeida Júnior, the
20th-century sculpture The Thinker by August Rodin, and Shi Ke’s 10th-century painting Huike Thinking all reflect the
fascination with the process of human thought. (credit “middle”: modification of work by Jason Rogers; credit “right”:
modification of work by Tang Zu-Ming)
Chapter Outline
7.1 What Is Cognition?
7.2 Language
7.3 Problem Solving
7.4 What Are Intelligence and Creativity?
7.5 Measures of Intelligence
7.6 The Source of Intelligence
Introduction
Why is it so difficult to break habits—like reaching for your ringing phone even when you shouldn’t, such
as when you’re driving? How does a person who has never seen or touched snow in real life develop an
understanding of the concept of snow? How do young children acquire the ability to learn language with
no formal instruction? Psychologists who study thinking explore questions like these.
Cognitive psychologists also study intelligence. What is intelligence, and how does it vary from person
to person? Are “street smarts” a kind of intelligence, and if so, how do they relate to other types of
intelligence? What does an IQ test really measure? These questions and more will be explored in this
chapter as you study thinking and intelligence.
In other chapters, we discussed the cognitive processes of perception, learning, and memory. In this
chapter, we will focus on high-level cognitive processes. As a part of this discussion, we will consider
thinking and briefly explore the development and use of language. We will also discuss problem solving
and creativity before ending with a discussion of how intelligence is measured and how our biology
and environments interact to affect intelligence. After finishing this chapter, you will have a greater
appreciation of the higher-level cognitive processes that contribute to our distinctiveness as a species.
Chapter 7 | Thinking and Intelligence 217
7.1 What Is Cognition?
Learning Objectives
By the end of this section, you will be able to:
• Describe cognition
• Distinguish concepts and prototypes
• Explain the difference between natural and artificial concepts
Imagine all of your thoughts as if they were physical entities, swirling rapidly inside your mind. How is it
possible that the brain is able to move from one thought to the next in an organized, orderly fashion? The
brain is endlessly perceiving, processing, planning, organizing, and remembering—it is always active. Yet,
you don’t notice most of your brain’s activity as you move throughout your daily routine. This is only one
facet of the complex processes involved in cognition. Simply put, cognition is thinking, and it encompasses
the processes associated with perception, knowledge, problem solving, judgment, langu ...
bhusal2
Prepared by
Deepak Bhusal
CWID:50259419
To Professor: Dr. R. Daniel Creider
Table of Contents
Abstract 3
Introduction 4
Literature Review 5
AI for Justice 6
AI in Medical Teaching 8
Artificial Intelligence in human resource management 9
AI in Marketing 10
Artificial Intelligence in Real Estate 13
Real Estate Agent Selection 14
Artificial Intelligence in CRM 16
Artificial Intelligence in Banking 18
AI based Chatbots in Financial Institutions 19
Customization of Products 19
References 24
Artificial Intelligence: Formalizing Human CapabilitiesAbstract
Artificial Intelligence cannot replace three human abilities, in which human beings present an insurmountable advantage today, and they are empathy, leadership, and creativity. AI can quickly take over essential verbal and visual communication services, such as digital assistant-based customer service. However, our ability to empathize with the client and to carry out non-verbal communication based on emotions gives us an advantage that Artificial Intelligence can never replace. These qualities can make the difference between a misunderstood and dissatisfied customer versus an understood and loyal customer.
Gajane & Pechenizkiy (2017) stated that it is undeniable that AI will replace workers in essential economic-financial management, logistics, materials, human resources, and projects. Still, people have more advanced management capabilities that AI cannot return. The following two skills play a crucial role:
First is the ability to manage the growth of human groups. This is the ability to help members of the organization develop their skills and grow professionally through our innate leadership ability to set goals, motivate, lead by example, evaluate, delegate, and transmit experience.
Secondly, there is the ability to carry out the organization members' recovery management when they suffer problems derived from interpersonal relationships or other emotional reasons. It is based on the skills of understanding, counseling, care, and protection.
Yampolskiy (2019) found that AI can never replace the vision, invention, and original proposal of innovative and disruptive designs, not only applied to the individual as a genius but also the ability to carry out collective intelligence management focused on innovation, facilitating the appearance of new knowledge and wisdom. Besides, even more, difficult it will be able to replace the ability to implement new ideas in the organization, communicating attractively, persuading, and making the organization move smoothly to implement innovative ideas.
Keywords
Artificial Intelligence, Marketing, Human Resource Management, Medical Sciences, Nursing, Introduction
The possibility of thought in machines is a concern that has been raised for a long time; science fiction, as well as engineering and philosophy, have sought to provide an answer to the question "Can machines think?" Famous exponents of both affirmative answers, given by Turing or K ...
Artificial intelligence - Approach and MethodRuchi Jain
Human natural intelligence is ubiquitous with human activities, such as solving problems, playing chess, guessing puzzles. AI is new mean to solve such complex problems. We NuAIg is a AI consulting firm, who will help you to create a AI road-map for your business and process automation.
Las Emociones, sus tipos - El Dolor, características y algo más...Antonio Cantando
Una pequeña descripción de las emociones, las emociones primarias y secundarias y la clasificación hecha por Robert Plutchik.
Contiene un abordaje sobre el dolor y sus características.
Descubriendo el poder de la Inteligencia EmocionalRobert Sasuke
Charla impartida por Robert Sasuke, organizada por PsicologiaDominicana.net, donde se presentan estrategias para el manejo de la Inteligencia Emocional de cada persona. Más presentaciones como estas en: www.robertsasuke.com/descargas
La voz es el principal modo de comunicación entre los hombres y
consecuentemente se ha estudiado los mecanismos de producción de
voz humana y se han creado sistemas capaces de simular y reconocer
voz electrónicamente.
Why engineers can be great at dealing with emotions at work once they get the manual.
TED-like talk for the Airbus Group Leadership University Trainer day held in Toulouse on 11 December 2014.
A few perspectives on how to bring soft subjects like "emotions at work" to engineers, using metaphors that speak to them :
- Emotions as a process (engine metaphor)
- Emotions as chemistry (what is happening to my body and why?)
- Emotions as tools (how can I be an emotions augmented manager?)
Talk given at the Neurons London Meetup in April 2018. I discuss where AI is now, what we know from biology and whether it is possible that abstract algorithms could lead to intelligence.
Security Is Like An Onion, That's Why It Makes You CryMichele Chubirka
Why is the security industry so full of fail? We spend millions of dollars on firewalls, IPS, IDS, DLP, professional penetration tests and assessments, vulnerability and compliance tools and at the end of the day, the weakest link is the user and his or her inability to make the right choices. It's enough to make a security engineer cry. The one thing you can depend upon in an enterprise is that many of our users, even with training, will still make the wrong choices. They still click on links they shouldn't, respond to phishing scams, open documents without thinking, post too much information on Twitter and Facebook, use their pet's name as passwords, etc'. But what if this isn't because users hate us or are too stupid? What if all our complaints about not being heard and our instructions regarding the best security practices have more to do with our failure to understand modern neuroscience and the human mind's resistance to change?
Chapter 7Thinking and IntelligenceFigure 7.1 Thinking .docxrobertad6
Chapter 7
Thinking and Intelligence
Figure 7.1 Thinking is an important part of our human experience, and one that has captivated people for centuries.
Today, it is one area of psychological study. The 19th-century Girl with a Book by José Ferraz de Almeida Júnior, the
20th-century sculpture The Thinker by August Rodin, and Shi Ke’s 10th-century painting Huike Thinking all reflect the
fascination with the process of human thought. (credit “middle”: modification of work by Jason Rogers; credit “right”:
modification of work by Tang Zu-Ming)
Chapter Outline
7.1 What Is Cognition?
7.2 Language
7.3 Problem Solving
7.4 What Are Intelligence and Creativity?
7.5 Measures of Intelligence
7.6 The Source of Intelligence
Introduction
Why is it so difficult to break habits—like reaching for your ringing phone even when you shouldn’t, such
as when you’re driving? How does a person who has never seen or touched snow in real life develop an
understanding of the concept of snow? How do young children acquire the ability to learn language with
no formal instruction? Psychologists who study thinking explore questions like these.
Cognitive psychologists also study intelligence. What is intelligence, and how does it vary from person
to person? Are “street smarts” a kind of intelligence, and if so, how do they relate to other types of
intelligence? What does an IQ test really measure? These questions and more will be explored in this
chapter as you study thinking and intelligence.
In other chapters, we discussed the cognitive processes of perception, learning, and memory. In this
chapter, we will focus on high-level cognitive processes. As a part of this discussion, we will consider
thinking and briefly explore the development and use of language. We will also discuss problem solving
and creativity before ending with a discussion of how intelligence is measured and how our biology
and environments interact to affect intelligence. After finishing this chapter, you will have a greater
appreciation of the higher-level cognitive processes that contribute to our distinctiveness as a species.
Chapter 7 | Thinking and Intelligence 217
7.1 What Is Cognition?
Learning Objectives
By the end of this section, you will be able to:
• Describe cognition
• Distinguish concepts and prototypes
• Explain the difference between natural and artificial concepts
Imagine all of your thoughts as if they were physical entities, swirling rapidly inside your mind. How is it
possible that the brain is able to move from one thought to the next in an organized, orderly fashion? The
brain is endlessly perceiving, processing, planning, organizing, and remembering—it is always active. Yet,
you don’t notice most of your brain’s activity as you move throughout your daily routine. This is only one
facet of the complex processes involved in cognition. Simply put, cognition is thinking, and it encompasses
the processes associated with perception, knowledge, problem solving, judgment, langu.
Chapter 7Thinking and IntelligenceFigure 7.1 Thinking .docxmccormicknadine86
Chapter 7
Thinking and Intelligence
Figure 7.1 Thinking is an important part of our human experience, and one that has captivated people for centuries.
Today, it is one area of psychological study. The 19th-century Girl with a Book by José Ferraz de Almeida Júnior, the
20th-century sculpture The Thinker by August Rodin, and Shi Ke’s 10th-century painting Huike Thinking all reflect the
fascination with the process of human thought. (credit “middle”: modification of work by Jason Rogers; credit “right”:
modification of work by Tang Zu-Ming)
Chapter Outline
7.1 What Is Cognition?
7.2 Language
7.3 Problem Solving
7.4 What Are Intelligence and Creativity?
7.5 Measures of Intelligence
7.6 The Source of Intelligence
Introduction
Why is it so difficult to break habits—like reaching for your ringing phone even when you shouldn’t, such
as when you’re driving? How does a person who has never seen or touched snow in real life develop an
understanding of the concept of snow? How do young children acquire the ability to learn language with
no formal instruction? Psychologists who study thinking explore questions like these.
Cognitive psychologists also study intelligence. What is intelligence, and how does it vary from person
to person? Are “street smarts” a kind of intelligence, and if so, how do they relate to other types of
intelligence? What does an IQ test really measure? These questions and more will be explored in this
chapter as you study thinking and intelligence.
In other chapters, we discussed the cognitive processes of perception, learning, and memory. In this
chapter, we will focus on high-level cognitive processes. As a part of this discussion, we will consider
thinking and briefly explore the development and use of language. We will also discuss problem solving
and creativity before ending with a discussion of how intelligence is measured and how our biology
and environments interact to affect intelligence. After finishing this chapter, you will have a greater
appreciation of the higher-level cognitive processes that contribute to our distinctiveness as a species.
Chapter 7 | Thinking and Intelligence 217
7.1 What Is Cognition?
Learning Objectives
By the end of this section, you will be able to:
• Describe cognition
• Distinguish concepts and prototypes
• Explain the difference between natural and artificial concepts
Imagine all of your thoughts as if they were physical entities, swirling rapidly inside your mind. How is it
possible that the brain is able to move from one thought to the next in an organized, orderly fashion? The
brain is endlessly perceiving, processing, planning, organizing, and remembering—it is always active. Yet,
you don’t notice most of your brain’s activity as you move throughout your daily routine. This is only one
facet of the complex processes involved in cognition. Simply put, cognition is thinking, and it encompasses
the processes associated with perception, knowledge, problem solving, judgment, langu ...
bhusal2
Prepared by
Deepak Bhusal
CWID:50259419
To Professor: Dr. R. Daniel Creider
Table of Contents
Abstract 3
Introduction 4
Literature Review 5
AI for Justice 6
AI in Medical Teaching 8
Artificial Intelligence in human resource management 9
AI in Marketing 10
Artificial Intelligence in Real Estate 13
Real Estate Agent Selection 14
Artificial Intelligence in CRM 16
Artificial Intelligence in Banking 18
AI based Chatbots in Financial Institutions 19
Customization of Products 19
References 24
Artificial Intelligence: Formalizing Human CapabilitiesAbstract
Artificial Intelligence cannot replace three human abilities, in which human beings present an insurmountable advantage today, and they are empathy, leadership, and creativity. AI can quickly take over essential verbal and visual communication services, such as digital assistant-based customer service. However, our ability to empathize with the client and to carry out non-verbal communication based on emotions gives us an advantage that Artificial Intelligence can never replace. These qualities can make the difference between a misunderstood and dissatisfied customer versus an understood and loyal customer.
Gajane & Pechenizkiy (2017) stated that it is undeniable that AI will replace workers in essential economic-financial management, logistics, materials, human resources, and projects. Still, people have more advanced management capabilities that AI cannot return. The following two skills play a crucial role:
First is the ability to manage the growth of human groups. This is the ability to help members of the organization develop their skills and grow professionally through our innate leadership ability to set goals, motivate, lead by example, evaluate, delegate, and transmit experience.
Secondly, there is the ability to carry out the organization members' recovery management when they suffer problems derived from interpersonal relationships or other emotional reasons. It is based on the skills of understanding, counseling, care, and protection.
Yampolskiy (2019) found that AI can never replace the vision, invention, and original proposal of innovative and disruptive designs, not only applied to the individual as a genius but also the ability to carry out collective intelligence management focused on innovation, facilitating the appearance of new knowledge and wisdom. Besides, even more, difficult it will be able to replace the ability to implement new ideas in the organization, communicating attractively, persuading, and making the organization move smoothly to implement innovative ideas.
Keywords
Artificial Intelligence, Marketing, Human Resource Management, Medical Sciences, Nursing, Introduction
The possibility of thought in machines is a concern that has been raised for a long time; science fiction, as well as engineering and philosophy, have sought to provide an answer to the question "Can machines think?" Famous exponents of both affirmative answers, given by Turing or K ...
Artificial intelligence - Approach and MethodRuchi Jain
Human natural intelligence is ubiquitous with human activities, such as solving problems, playing chess, guessing puzzles. AI is new mean to solve such complex problems. We NuAIg is a AI consulting firm, who will help you to create a AI road-map for your business and process automation.
The paper must have the following subheadings which is not include.docxoreo10
The paper must have the following subheadings which is not included in word count:
Introduction
Analysis
Rationale to support the response [1 and 2 separately]
Description of key job types
Conclusions
Week 11 Discussion 1
"The Future of Training" Please respond to the following:
From the first e-Activity, analyze the views of Cross and Jarche about the “Golden Age of Training” and its future. Then, assess the claims Miller makes about training in the article “Training is Not an Option.” Take a position on which views you agree with most. Provide a rationale to support your response.
From the second e-Activity, describe three key job types and competencies that professional organizations such as ISPI and ASTD claim that professionals in the field of organizational training and development should possess. Provide a rationale to support your response.
e-Activity Bottom of Form
Read the article by Cross and Jarche titled “The Future of the Training Department” published in Training Magazine (June 2009). Then, read the article titled, “Training is Not an Option,” by Adrian Miller. Be prepared to discuss.
Search the Internet for a professional organization (e.g., ISPI, ASTD) and review the primary job types and job competencies listed. Be prepared to discuss.
Article: “The Future of the Training Department”
URL: https://www.polleverywhere. com/blog/the-future-of-the- training-department/
Article: “Training is Not an Option,”
URL: http://ezinearticles.com/? Training-is-Not-an-Option&id= 157604
Post 1 AW
Referencing the Learning Resources for this module, choose any question in the research project list and answer it in relation to posthumanism. In other words treat posthumanism as a new technology or technological way of being.
Posthumanism is essentially the interlinking of humans and technology. This could range from artificial intelligence to a human that has prosthetics or technological enhancements fused into their bodies. But how did this term even come about? What is so wrong with humans and their ability to function that we need to incorporate such technology into our lives? What is the problem for which posthumanism is the solution?
The answer is everything. All aspects of our lives involve problems and solutions. This technology that is being referred to as posthumanism has the ability to solve a vast majority of the problems humans encounter and create. Steven Poole, although a strong supporter against posthumanism, discusses a few of these problems as well as new problems that could be created in his article “Slaves to the algorithm”. First referring to a chess match between world champions, then to vehicle automation, crime algorithms and psychotherapy applications, Poole is able to illustrate the involvement posthumanism already has in our present day. Before he argues that humans are quickly rationing off our conscious thoughts and judgements he recognizes the need for imp ...
The paper must have the following subheadings which is not include.docx
Decoding human emotions
1. Decoding human emotions
By Sayanti Bhattacharya
January 2016
All that is unexplained will remain unexplained. That is, until science explains it!
With science slowly unraveling all mysteries and translating them into machines, somewhere deep
within our darkest human sentiments, a serious question emerges. What will differentiate man from
machine if all mysteries that are “human” are solved by science?
Science’s journey into unexplained so far…
The explanatory power of science gained pinnacle with the Theory of Evolution. But that was just the
beginning of science’s journey to dig deeper into the unexplained. The reach and pace of science in this
aspect has been phenomenal, validated by scientific breakthroughs in 21st
century like cloning, mapping
of human genome, stem cell therapy, robotic limbs, to name a few.
There were 2 key factors that fueled science’s journey into the unexplained – Data and technology. With
time, the avenues of generating, collecting, collating and processing data have increased manifold.
Earlier the scope of data was limited to traditional sources but with the advent of social and digital
media there is a huge volume of unstructured data, which when merged with traditional data, can give
us deeper insights. With data becoming “Big”, it is not a surprise that relevant technology was conceived
to manage this exponentially expanding data. With data and technology in place, science today has no
2. barriers to exploring all mysterious aspects that have fascinated us till date. This has become the
universe of research for data scientists.
One of the most fascinating topics that has attracted data scientists till date, is understanding what is
human. This is not limited to behavior, but nudges at a deeper understanding of what makes the very
core of being human – its irrationality, its emotions, intuitions, perceptions, experiences, etc. Now that
is an interesting puzzle to crack!
Breaking down human elements…
In this blog, I would like to attempt to break down human elements into a mechanical version and see
how close science can come to replicating human responses.
To start, let us try and read 2 simple sentence –
“I cnduo't bvleiee taht I culod aulaclty uesdtannrd waht I was rdnaieg”.
“Cna Yuo Raed Thsi?”
Indeed, it is gibberish, yet you could read this. How do you think you did that? Guess work? Let us
remove the human element of “guessing” from the equation and see if we can still explain how our
brain does this.
What you will notice is that in the first sentence, the order of the letters in the word is incorrect, except
for the first and last letter. Thus, as long as the first and last letters are in the right place, even if the rest
are scrambled, you can still read it without a problem. In the second sentence, even the last letter in
short words is incorrect, yet, you have read it correctly.
This is because the human mind does not read every letter by itself, but the word as a whole. And
shorter the word, the “typos” are easier to correct. How does it do that?
To answer this, you would need to imagine the brain functioning like a super-computer. Under this
context, all that the brain is doing is running iterations using an algorithm that systematically moves
intermediate letters one at a time until it identifies what an actual, relevant and logical word could be.
Thus, to read “Cna”, it needs 1 iteration (assuming first letter is correct and the current spelling is
incorrect). To read “Raed”, it needs
2!-1 iteration (assuming first and last letters are correct and the current spelling is incorrect)
3!-1 iterations (assuming first letter is correct and the current spelling is incorrect)
Thus, the scientific explanation for the human element of guessing could be purely a technical element
of running quick algorithms and concluding on an outcome based on systematic iterations.
Let us delve further with some more instances where “gut-feeling” and “intuition” come in. As a
modeler, one often faces a situation when he/she retains a statistically insignificant variable in the
3. model with a hope that it will turn significant in subsequent iterations. And in multiple instances this
actually happens. If asked, how he/she knew, the person would simply reply that it was just a “gut-
feeling” that this might happen.
This subjectivity, intuition, experience are what make modeling an art vs. science. But what if we
remove these human elements from this scenario? Can our brain actually predict the outcome of a
variable? What if the brain functioned like a repository and querying machine. Imagine the brain using
its repository of modeling experience, querying previous cases and their outcomes, juxtaposing the
correlation matrix and observed trends, hypotheses along with the level of statistical insignificance to
create a probability of retention of the variable. Higher the probability, stronger this “gut-feeling”!
Not convinced? Let us try and break down “first impressions”. You meet a stranger at a party, strike up a
conversation and within seconds have formed an impression about the person. Research says it takes
anywhere between 7 to 30 seconds to form a first impression. How are we able to do that, so quickly
and quite accurately? How do you know he is chivalrous, party-lover, practical, friendly..? The easiest
answers are “guessed that”, “felt-so”…
If we take these unexplained human elements of “feelings” off the table, would we have a scientific
explanation for the phenomenon of first impression?
Let us think back and retrace what this stranger said and did during those crucial first 30 seconds – he
perhaps shook hands and waited for you to choose your seat or be seated before he did so, and maybe
spoke about how he ended up at this party with an invitation from the party he attended yesterday; he
perhaps also mentioned how he took the cab to avoid parking hassles and did you notice that he waved
hello to at least 3 more people while chatting with you…?
What if our brain has built a dictionary that classifies and maps words, gestures, actions, behavior, etc.
to certain pre-defined buckets or “characteristics”?
Chivalrous = f(Shaking hands, waiting for the lady to sit..)
Party-lover = f(party>1 per week)
Practical = f(cab>car; context = parking)
Friendly= f(acquaintances > 1; time < 30 sec)
Thus, first impression could be explained as predicting personality using extraction of key words or
actions and mapping of elements to pre-defined classes. In this context, the brain is quickly processing
verbal and behavioral information and classifying them to create a person’s aura and defining your first
impression of him. Now extend this explanation and you will see that the classes and the matches will
determine if you “like”, “love” or “are attracted” to that person.
Replicating this thought process across other human emotions would possibly help us break down all
human emotions into technical and logical components. Does this mean that in near future, a super-
4. computer would be able to feel, act, react and emote like us? Or at least perhaps predict human
elements and responses?
Man vs. machine…
For any predictive algorithm, there are 2 factors that determine its success – speed and accuracy. Let us
see how these algorithmic responses fare against human responses on these 2 factors.
At present, computers have definitely succeeded the human mind in calculations that involve huge
amounts of data, however in cases where a logic might come to human brain at a lightning speed (read
intuition), a computer still lags because it needs to run iterations until the correct logic is identified.
Technology has already progressed by leaps and bounds to overcome hurdles of speed and scale to
accommodate “Big” data and decisions being needed in “Real-time”. Thus, we may be able to envision
tomorrow’s technology comfortably challenging the speed of a human mind in decision-taking or
responding.
Now comes the interesting aspect of accuracy! One characteristic of being human is its irrationality.
Even after incorporating some allowable aspects of standard deviation, the accuracy element of
algorithmic responses maybe up for a toss. There are likely to be many deviations in human responses
and not all can be considered as outliers, as they might actually be much better outcomes. What gives
this extraordinary accuracy to human responses, which lies beyond pure logic? The answer lies in the
contextual elements that support the logical ones. A super-computer will be able to assimilate and
assess only the information that is fed into it through a source. We, as humans, have the ability to draw
context from multiple sources. The most critical sources are our very strong 5 touch-points which we
use to gather information. Yes, the human sensory system – its 5 senses of sight, hearing, touch, taste
and smell. Top this up with subjective elements of culture, morality, ethics and upbringing. This added
context makes human emotions and responses much stronger and more accurate than the purely logic-
driven algorithmic responses.
Conclusion
To conclude, the challenge ahead for science is to give technology a context as strong as the human
sensory system and rules as strong as human ethics. The day that happens, science would have perhaps
solved the puzzle called “human” and it would be another break-through day for science in its journey to
explaining the unexplained!