Autonomy in an Neural Network †Pyschology Essay

Autonomy in an Neural Network – Pyschology Essay Free Online Research Papers Autonomy in an Neural Network Pyschology Essay The idea of creating artificial intelligent life is not a new concept but rather one that dates back to the end of the sixteenth century. Inventors fashioned mechanical constructs deemed â€Å"automata† for the purposes of entertaining the wealthy (Jones, n.d.). Many of these hydraulic devices were constructed to simulate human and animal behaviours with the ultimate goal of creating artificial people as in the story of Pinocchio. Although they succeeded in making the machines perform simple tasks such as writing a limited number of phrases, their science and technology were woefully underdeveloped for the task of creating something with the cognitive faculties of an animal, let alone a human being (Jones, n.d.). Skipping ahead to the 21st century finds scientists in a situation not far removed from their predecessors. Although there have been enormous strides in the field of human psychology, scientists are still quite a ways off from creating an autonomous agent that can think and learn for itself. The main goal of those working in the field of artificial intelligence is the simulation of an artificial brain. The â€Å"easiest† way to do this is to model one based on the human brain. After all, we know that it works, that it’s capabl e of learning, and that as part of a whole it results in a being that is self aware and intelligent. The first step in this task is to understand how the brain works. The human brain consists of 1012 neurons and which serve almost all the functions of the human brain (Reingold, n.d.). They are the information carriers and are responsible for all of our cognitive functions. They consist of a cell body called the soma and usually have two stem like extensions, the dendrites and the axon. Information is transmitted from the axon to the dendrite across the synaptic cleft whenever the neuron is excited to the point of firing, called an action potential (Klerfors, 1998) . These action potentials then propagate from neuron to neuron causing the neuron that they are connected to, to either excite or inhibit itself (Reingold, n.d.). In the case of excitation, a firing perceived from a connected neuron will cause it to make itself ready for an action potential of its own, while an inhibitory neuron will be less likely to fire (Reingold, n.d.). Action potentials are all or none and only convey the information that a specific neuron has fired. The grou pings and connections between neurons are what is referred to as a neural network. A neural network typically consists of three layers. The first layer is the â€Å"input layer† which is connected to the sensory organs, and which provides data for the next layer. Connected to these initial neurons are a multitude of neurons in what is called the â€Å"hidden layer†. The purpose of these neurons is to identify the input data and render it into meaningful information that the brain can understand, which is then passed to the â€Å"output layer† (Klerfors, 1998). There are three fundamental concepts necessary for understanding the relationships between neurons in a neural network. The first of these, connection strength, refers to how strongly one neuron influences those neurons connected to it. Because this connection strength can vary enormously it is thought that it is here that all information in the brain is stored. The second concept refers to the excitation/inhibition distinction between neurons. This refers to the whether a neuron will cause an excitatory or inhibitory response in a neighbouring neuron, and as a result the magnitude of the response will vary with the connection strength. The final component is the transfer function of the neuron. The transfer function describes how a neuron’s firing rate varies with the input it receives (Reingold, n.d.). It is from these three components that it will be determined how much of the activation value is passed on to the next node. Artificial neural nets were created based on the aforementioned principles and were constructed to simulate the brain as similarly as possible through software run on computers. Although neural nets are parallel processors the only way to get them to run is to create them on programs that run through serial computers. While this process sacrifices the speed of parallel processors, it still mimics the fundamental properties of the neural network. As with biological neurons, the data holders in artificial neural nets come from the connection strengths between individual neurons and are referred to as weights. These weights are located in the hidden layer of a network and are given a value between –1 and +1. These values refer to how much activity from a connecting neuron is required to trigger an artificial action potential. Each node sums the activation values it receives, arrives at its own activation value, and then passes that along to the next nodes in the network (a fter modifying its activation level according to its transfer function (Reingold, n.d.). The neurons in an artificial neural network work in the same way as biological ones with input coming in one end, passing through a middle computational layer, and then exiting through the output layer. The actual physical set up of the network was the simple part for scientists while difficulty came from harnessing its power. For a system to be fully autonomous it must be able to learn without outside support and be able to adapt to its environment. This type of learning is referred to as unsupervised learning (Klerfors, 1998). In unsupervised learning the weights in an artificial neural net start off randomized. What this means is that any data sent through the system will be outputted as randomized values. In order to produce meaningful information from this the system must teach itself to recognize the information, remember it and produce an appropriate response. Because the system is to be self sufficient it must do this on its own through the internal adjustment of its weights (Reingold, n.d.). As stated before, an artificial neural network begins in a randomized state where the values of the weights do not represent anything. As data is sent through the system the output layer sends the data back to input layer to rework the information into something a little more representational of the original info. This process that the artificial neural network goes through is not something that can be done in one, ten, or even a hundred runs, but rather can take up to as many as forty thousand runs to gen erate proper data. Looking at it from this perspective it is difficult to understand how anything can get done, but when one understands that information is passed from neuron to neuron at an average speed of 268mph it seems a little more feasible (Klerfors, 1998). Because an artificial neural network that learns through unsupervised learning begins as a randomized â€Å"clean slate† it requires two things to function properly. One of these is a large data set to learn from. In order to function properly it must teach itself and it does this by using old confirmed data sets. By using old data sets both the inputs and desired outputs are known so when the info given to the network it can learn for itself by putting in the old inputs and comparing and adjusting its own weights to bring its own outputs in line with those of the data set (Want to try Neural Nets?, n.d.). Again, this procedure does not occur through a few trials, but rather in trials numbering in the tens of thousands. The second, and most important, component necessary for an artificial neural network to function properly is its learning algorithm. This refers the mathematical software that runs in the hidden layer and dictates exactly how the weights should respond to a specific target input (Klerfors, 1998). Although there currently exist many differing kinds of algorithms most share in common one of a few different learning laws. The learning laws are the backbone of the algorithm and can be seen as its dna, as it gives instructions on how the mathematics should be performed. Although the learning laws themselves seem to be constructed in greater abundance by scientists, there are three main laws for unsupervised learning. One of the first ones constructed by Donald Hebb and consequently became know as Hebb’s rule. Heb’s rule states that if a neuron receives an input from another neuron, and if both are highly active (mathematically have the same sign), the weight between the neurons should be strengthened. This corresponds to the physiological findings in the brain that greater activation between connected neurons results in easier activations (Artificial Neural Networks Technology, n.d.). Similar to Hebb’s rules i s Hopfields Law which distinguishes itself by specifying that magnitude of the strengthening and weakening in said neurons. It states that if the desired output and the input are both active or both inactive, increment the connection weight by the learning rate, otherwise decrement the weight by the learning rate (Artificial Neural Networks Technology, n.d.). The third and final rule Kohonen’s learning law, developed by Teuvo Kohonen, was also inspired by learning in biological systems. In this procedure, the processing elements compete for the opportunity to learn, or update their weights. The processing element with the largest output is declared the winner and has the capability of inhibiting its competitors as well as exciting its neighbors. Only the winner is permitted an output, and only the winner plus its neighbors are allowed to adjust their connection weights (Artificial Neural Networks Technology, n.d.). Although there are many more learning laws out there, th ese three are considered to be the ones upon which the others are based. As with the learning laws there are a multitude of algorithms being developed. These algorithms, also known as seen as the genetic makeup, are constructed and based on the application they are to work with. Although many have been developed, the most successful ones include; Kohonen Self Organizing Features Maps, Grossberg’s Adaptive Resonance Theory, and Fukushima’s Neogcognitron. The basic premise of the Self Organizing Feature Map is that of a feature detector. It is based on competitive learning in a topology-preserving map that can be adjusted to represent the nature of the inputs (Self-Organizing Feature Maps, n.d.). In the SOFM, neurons located physically next to each other will respond to inputs that are also next to one another, which in turn allows for lateral inhibition and excitation. What this means is that if a target neuron is activated, all of its immediate neighbours will also become activated but to a lesser degree (Kaski, 1997). This provides a way to avoid totally unlearned neurons and it helps enhance certain topological property which should be preserved in the feature mapping. In every following cycle in which that same target neuron is still activated the size of the neighbourhood decreases, thereby precisely mapping the feature in question (Self-Organizing Feature Maps, n.d.). The Neocognitron is an algorithm developed by Fukushima in an attempt to construct a neural network architecture based explicitly on knowledge about real brains (Neocognitron, n.d.). It is considered to be the most complex neural network architecture ever developed, and is also the most limited in its capabilities. The Neocognitron was developed to recognize handwriting and convert it to digital signals (Neocognitron, n.d.). The reason for its complexity comes from the immense variation in various persons handwriting style, and as a result it was necessary to make to algorithm as robust as possible. The design of the Neocognitron came from extensive study of the human visual system. Neuropsychological studies have shown that there are relatively few cells that receive input directly from the retina and that they are limited in function. Studies have shown that the local relationships between input neurons in the retina are topologically preserved in the organization of the neural pathways (Neocognitron, n.d.). Although mathematically-free information on how the neocognitron actually works is sparse, it is assumed that when a handwriting sample is presented to the neural network it attempts to locate the boundaries of the individual letters and match the patterns to similar ones stored in memory. When the samples are not very similar to the target letters in the database the neural net must approximate the unconfirmed features to confirmed ones and then probabilistically determine a correct output. Unlike the previous two algorithms, Adaptive Resonance Theory was not developed for a specific task so much as it was developed to deal with a fundamental concern with artificial neural networks in general. Developed by Stephen Grossberg and Gail Carpenter, ART was designed to deal with the stability-plasticity dilemma (Adaptive Resonance Theory, n.d.). The stability-plasticity dilemma was a learning instability problem suffered by neural networks whereby scientists and programmers were unsure as to how a neural network would know when to apply its existing knowledge in regards to new inputs, or when it would be required to actually learn and adopt the new inputs as â€Å"learning material† (Adaptive Resonance Theory, n.d.). The weights which have captured some knowledge in the past continue to change as new knowledge comes in. There is therefore a danger of losing the old knowledge with time. The weights have to be flexible enough to accommodate the new knowledge but not so much so as to lose the old (Adaptive Resonance Theory, n.d.). The adaptive Resonance Theory deals with this problem by accepting input and classifying it into a category depending on the stored pattern it resembles most. Once the pattern is located, it is trained to resemble the input. If however the input does not match any stored pattern within a given range, then a new category is created by storing a new pattern similar to the input. Because of this, no stored pattern is ever modified unless it matches the input vector within a given fault range(Grossberg’s, n.d.). Because of this new method the ART has both stability, in that it can remember and recognize patterns, but it also has plasticity in that it can learn new material without forgetting the old. The original ART, known as ART1, only performed unsupervised learning in regards to binary input but the newly developed ART2 has been modified to handle both digital and analog (fuzzy) inputs (Grossbergâ€⠄¢s, n.d.). The emergence and continued development of unsupervised learning in Artificial Neural Networks is an important backbone to the development of true autonomous artificial intelligence. The human mind is itself the self contained seat of our consciousness and it is from its own evolutionary development that humans have reached the heights that they have. Because of this it makes complete sense that the easiest way to create and alien intelligence would be to understand our own physiology and then model it after ourselves. However, it is my belief that the current artificial neural networks that we have are but a child’s step towards our ultimate goal. It is difficult for me to believe that who we are is made up solely the firing of electronic impulses that travel from synapse to synapse. Although I don’t dispute that it is an integral part of our cognitive processes, it just seems too basic. What role then do our hormones and neurotransmitters play in regards to our cognitive faculties? I believe that in order for us to begin to learn about what makes us tick we need to have a larger crisper picture. The different topographic regions of the brain cater to various processing and cognitive functions, and it is the interaction between the different electrical and chemical action potentials and the various regions of the brain that gives us the ability to grow, learn, create, and think. Once we understand more of ourselves we will be in a better position to apply that knowledge and give birth to something in our likeness. References 1. Adaptive Resonance Theory. (n.d.). Retrieved November 22nd, 2001, from maths.uwa.edu.au/~rkealley/ann_all/node170.html 2. Artificial Neural Networks. (n.d.). Retrieved November 19th, 2001, from gc.ssr.upm.es/inves/neural/ann1/unsupmodels/unsupmodels.html 3. Artificial Neural Networks Technology. (n.d.). Retrieved November 21st, 2001, from dacs.dtic.mil/techs/neural/neural5.html#RTFToC17 4. Grossbergs Adaptive Resonance Theory. (n.d.). Retrieved November 20th, 2001, from icsi.berkeley.edu/~jagota/NCS/VOL1/P3_html/node27.html 5. Jones, Stephen. Neural Networks and the Computational Brain. (n.d.). Retrieved November 20th, 2001, from culture.com.au/brain_proj/neur_net.htm 6. Kaski, S. Data exploration using self-organizing maps. (1997). Retrieved November 19th, 2001, from cis.hut.fi/~sami/thesis/node18.html#SECTION00074000000000000000 7. Klerfors, Daniel. Artificial Neural Networks. (November 1998). Retrieved November 22nd, 2001, from http://hem.hj.se/~de96klda/NeuralNetworks.htm#2.2.3%20Learning 8. Neocognitron. (n.d.). Retrieved November 21st, 2001, from maths.uwa.edu.au/~rkealley/ann_all/node225.html 9. Reingold, Eyal, and Nightingale, Johnathan. Artificial Intelligence Tutorial Review. (n.d.). Retrieved November 19th, 2001, from http://psych.utoronto.ca/~reingold/courses/ai/ 10. Self-Organizing Feature Maps. (n.d.). Retrieved November 20th, 2001, from nd.com/models/sofm.htm 11. Want to Try Neural Nets?. (n.d.). Retrieved November 23rd, from zsolutions.com/soyou.htm Research Papers on Autonomy in an Neural Network - Pyschology EssayBionic Assembly System: A New Concept of SelfGenetic EngineeringIncorporating Risk and Uncertainty Factor in CapitalOpen Architechture a white paperStandardized TestingThe Project Managment Office SystemThree Concepts of PsychodynamicHip-Hop is ArtThe Spring and AutumnCapital Punishment

America and Vietnam Essay Example for Free

America and Vietnam Essay Olsen and Roberts are both history professors who are fascinated with the ways by which the American government made the situation of the war with Vietnam a fearful yet victorious even for the reputation of the said country. The authors were then able to contribute their thoughts about the situation thus seeing the situation of the past wars a manifestation of the reputation of the American society in the world account of recognized countries of war and reconciliation. Their book â€Å"Where the Domino Fell† actually pictures the actual situations that happened during the American-Vietnamese war during the 1960’s and how the said history particularly affects the relationship of the two countries involved. About the Book [Content and Summary] The overall content of the book is highly recommended for reading and teaching as it gives a clear yet critical approach in assessing the US policy that controlled the Vietnam society from then until the present. Undeniably, the book of Olsen and Roberts is an awakening material that helps the human mind realize the importance of being diplomatic and lawful even when in the middle of distress. Surprisingly, the American society was able to steel a fine reputation out from all the oppression that they have already implicated upon the Vietnamese society during the war years. Through the critical assessment of the situation, the authors intended to give the readers a fine picture not only of what is or what has been obvious but also a glimpse of the truth behind the scenes of historical accounts written in books today. Implications of the Reading As it has been noted earlier, the reading gave a clear depiction of what has happened and why the said events happened during the American-Vietnamese war in the 1960’s. With the insightful informations that the authors posted through their book, they were able to help readers realize what the facts are and how they particularly affect the present relationship that exists between the said countries. Critique of the Writing Approach As for the writing approach of the authors, it is undeniable that the informations that they posted through the reading were carefully assessed thus giving out validated facts that support their explanations of the said historical event. The clarity of the implications of the reading has been strengthened by the documentations that the authors used to show the authenticity of the reading. The utilization of other researches that supported their claims and opinions made the book a must read not only for professors and students, but also for those individuals who endeavor reading books under the typical yet critical approach of understanding history and American politics. Within the context of the book lies a less-traveled path among the historians of the present times. Olsen and Roberts certainly made it clear that history is a human account needed to be understood and learned from through critical observation of the past. Reference: James S. Olson and Randy Roberts. (2006). Where the Domino Fell: America and Vietnam 1945-2006 [ILLUSTRATED]. Blackwell Publishing Limited; 5 edition. America and Vietnam. (2017, May 10).

Rational Approaches to Organizations Essay Example | Topics and Well Written Essays - 1500 words

Rational Approaches to Organizations - Essay Example It also highlights through examples how taking an open system or a natural systems approach could benefit managers. Rational Approaches to Organizations Rational approaches present a planned and systematic approach to decision making. Applying such an approach helps managers to maintain order and resoluteness in the decision-making process. Dyck (1997) observes that rational approaches generate reason and order through a sequence of steps starting with the discovery of an opportunity or a predicament and culminating with measures to be undertaken in regard to the decisions reached. Mintzberg (1990) argues that rational approaches are based on meticulousness of analysis and assessment of all probable courses of action. This may be appealing to managers considering the fact that future actions are predetermined at the strategy setting stage. Rational approaches to strategy formulation comprise environmental scanning, portfolio and industry analysis, all which are focused on establishin g the business opportunities and threats. Environmental scanning helps managers to determine the nature of the operating environment and to set strategies for utilizing emerging opportunities as well as dealing with potential threats (Robbins & Barnwell 2006). Portfolio analysis is the formal structured examination that encompasses decisions regarding the relative significance of the accessible business opportunities where a company can invest. It allows the management to devise strategies that can supplement the business portfolio in regard to emerging investment openings and products (Ferraro et al. 2005). Industry analysis helps managers to understand the nature of a particular market in which an organization presently sells its products or is planning to penetrate in future. Such rational approaches allow managers to determine the significance of the various strategic business units and prioritize the allocation of resources depending on market attractiveness (Williamson 2000). Strategy development through this process culminates in a well-detailed scheme with various courses of action that are meticulous with monetary aspects and resource affiliated data. This process is characteristic of the standard SWOT (Strengths Weaknesses Opportunities and Threats) analysis in strategy development. Mitzenberg (1990) developed a comparable approach to strategy development. His planning approach involves formulating a strategy with a time line, goals and objectives which are stated and formulated to help achieve the organizational objectives. A plan is a critical source of direction for the company since it contains clearly stated objectives. Planning is a continuous process as variables keep changing hence the need for management to be ready for changes through out the organization’s life cycle (Glueck 2009). Litzenberg's planning model is limited in the sense that it is suitable for static operating environments otherwise the management needs to continuously review plans in a constantly changing environment. Plans can also not be relied upon in the long run due to technological and infrastructural advancements. The rational approaches integrate an evaluation of the organization and its operating environment with the underlying assumption that changes in the business environment will seldom affect the plan.  

Marketing Plan Research Paper Example | Topics and Well Written Essays - 500 words - 1

Marketing Plan - Research Paper Example When different business enterprises target the same markets within a given industry, competition intensifies. This is the scenario observed in the coffee houses industry. While players are many in number, the target market is relatively the same. As a result, each coffee house must move swiftly and strategically to lure consumers into buying its products, thereby building a market share within the industry. Depending on how the captured market share is managed, it can increase or decrease with time. Tim’s Coffee Shoppe competes intensively with Queequeg’s Coffee among other coffee houses. The above aspects apply to Tim’s Coffee Shoppe operations in the coffee houses industry. Tim’s Coffee Shoppe has to manage its clientele in a way that ensures Queequeg’s Coffee or any other coffee house does not win it through competitive practices. This implies that coffee houses operating in the same industry engage one another in intensive competition that could see one lose its customers to another based on the customer satisfaction factor. The 4 P’s of marketing inform the marketing practices of many business enterprises across the globe (Pride & Ferrell, 2012). Tim’s Coffee Shoppe operates in a highly competitive environment, where players are many and competition cannot be price-based only. To ensure that Tim’s Coffee Shoppe remains competitive over its rivals, the adopted marketing strategy must critically account for the 4 P’s of marketing. The surveys presented in the filing cabinet highlight the operational strengths and weaknesses of Tim’s Coffee Shoppe. The 4 P’s of marketing can strategically be applied to the survey information for the purpose of redesigning and revolutionizing the Tim’s marketing strategy. The product is highly rated by majority of customers. However, the shortcomings noted by a few should be used to enhance

Nathaniel Hawthornes Scarlet Letter - Effects of Sin Upon Rev. Arthur Dimmesdale :: Scarlet Letter essays

The Effects of Sin Upon Dimmesdale in The Scarlet Letter Hawthorn shows sins of several different kinds in numerous people, as well as the consequences and remedies of their sins. Three main characters; Hester Prynne, Reverend Arthur Dimmesdale, and Roger Chillingworth bare the most of these sins. Arthur Dimmesdale, however, bares the most brutal effects of such sin. This is due to several reasons. The most observable reason for his eventual breakdown is the fact that he keeps his sin a secret. Arthur Dimmesdale's sin was the same as Hester's, except he never confessed. "As God's servant, it is his nature to tell the truth, so the years of pretending and hypocrisy were especially hard on him." (Bloom 28) Dimmesdale also believes that his sin has taken the meaning out of his life. His life's work has been dedicated to God, and now his sin has tainted it. He feels that he is a fraud and is not fit to lead the people of the town to salvation. His secret guilt a much heavier burden than Hester's since he must hold it all within himself. This also reveals Dimmesdale weakness. Arthur wanted desperately to admit his sin to the world, which is shown throughout the book. The earliest incident was when he was asked to question Hester on the scaffold as to who the father of her child was: "I charge thee to speak out the name of the thy fellow-sinner and fellow sufferer! Be not silent for any mistaken pity and tenderness for him; for, believe me, Hester, though he were to step down from a high place, and stand there beside thee, on thy pedestal of shame, yet better were it so, than to hide a guilty heart throughout life." (Hawthorne 67) In this speech Dimmesdale is pleading for her to tell the name of the father, and fellow sinner, not just for the other leaders sake, but for his own. He is to weak minded to do it himself, and he believes it would be better to lose his place of power in the church than to "hide his guilty heart." Since he was not revealed, this is exactly what he does, hides his guilty heart. In view of the fact that there was no external punishment for Arthur, he creates it within himself. Nathaniel Hawthorne's Scarlet Letter - Effects of Sin Upon Rev. Arthur Dimmesdale :: Scarlet Letter essays The Effects of Sin Upon Dimmesdale in The Scarlet Letter Hawthorn shows sins of several different kinds in numerous people, as well as the consequences and remedies of their sins. Three main characters; Hester Prynne, Reverend Arthur Dimmesdale, and Roger Chillingworth bare the most of these sins. Arthur Dimmesdale, however, bares the most brutal effects of such sin. This is due to several reasons. The most observable reason for his eventual breakdown is the fact that he keeps his sin a secret. Arthur Dimmesdale's sin was the same as Hester's, except he never confessed. "As God's servant, it is his nature to tell the truth, so the years of pretending and hypocrisy were especially hard on him." (Bloom 28) Dimmesdale also believes that his sin has taken the meaning out of his life. His life's work has been dedicated to God, and now his sin has tainted it. He feels that he is a fraud and is not fit to lead the people of the town to salvation. His secret guilt a much heavier burden than Hester's since he must hold it all within himself. This also reveals Dimmesdale weakness. Arthur wanted desperately to admit his sin to the world, which is shown throughout the book. The earliest incident was when he was asked to question Hester on the scaffold as to who the father of her child was: "I charge thee to speak out the name of the thy fellow-sinner and fellow sufferer! Be not silent for any mistaken pity and tenderness for him; for, believe me, Hester, though he were to step down from a high place, and stand there beside thee, on thy pedestal of shame, yet better were it so, than to hide a guilty heart throughout life." (Hawthorne 67) In this speech Dimmesdale is pleading for her to tell the name of the father, and fellow sinner, not just for the other leaders sake, but for his own. He is to weak minded to do it himself, and he believes it would be better to lose his place of power in the church than to "hide his guilty heart." Since he was not revealed, this is exactly what he does, hides his guilty heart. In view of the fact that there was no external punishment for Arthur, he creates it within himself.

Master1 Essay

Psycholinguistics merges the fields of psychology and linguistics to study how people process language and how language use is related to underlying mental processes. Studies of children’s language acquisition and of second-language acquisition are psycholinguistic in nature. Psycholinguists work to develop models for how language is processed and understood, using evidence from studies of what happens when these processes go awry. They also study language disorders such as aphasia – impairment of the ability to se or comprehend words and dyslexia – impairment of the ability to make out written language. It is the study of interrelationship of psychological and linguistic behaviour. Its most important area of investigation has been language acquisition. It has raised and has partly answered questions such as how do children acquire their mother tongue? How do they grow up linguistically and learn to handle the registral and stylistic varieties of their mother tongue effectively? How much of the linguistic system that they ultimately command, are they born with and how much do they iscover on the basis of their exposure to that system? John D. Carroll states that this branch uses: â€Å"Some aspects of psychology and some aspects of linguistics. It is confined to the study of how people use a language system and how they learnt it† By language acquisition is meant the process whereby children achieve a fluent control of their native tongue. By 1950, people thought that children imitated their elders and got language but now various theories have been presented. Some argue that it is the environmental impact and product of our experience and others discuss the nnateness of language or Empiricist (Behaviorists) and Rationalists (Mentalists). The theoretical questions have focused on the issue of how we can account for the phenomenon of language development in children at all. Normal children have mastered most of the structures of their language by the age of five or six. The earlier behaviorist assumptions were that it was possible to explain language development largely in terms of imitation and reinforcement. Psycholinguistics therefore argue that imitation is not enough; it is not merely by mechanical repetition that children acquire language. They also acquire it by natural exposure. Both nature and nurture influence the acquisition of language in children. Both schools of thought have said significant things but neither is perfect. Language Acquisition is a process of analogy and application, nature and nurture. Experience and innateness. Imitation is there but the child forms his own grammar of rules. Children learn first not items but systems. In other words, what is being claimed is that the child’s brain contains certain innate characteristics which ‘pre-structure’ it in the direction of language learning. To enable these innate features to develop into adult competence, the child must be exposed to human language, i. e. it must be stimulated in proper to respond but the basis. David Crystal asserts: â€Å"On which it develops its linguistic abilities is not describable in behaviourist terms† Psycholinguistics nas researched and exposed that there is a critical period in first language acquisition. If the child, in the first thirteen years, is not exposed to language, he loses his critical period and then he can never master a language; even his native tongue. Genie and Chelsea ho lost their critical period, are the examples in this proof. If he is exposed to language in his childhood, he goes certain stages to learn his mother tongue. The development of a child’s language starts from babbling; merely saying /b/, [p/ and / m/ etc. and then he goes on to word level. His One-Word Stage is between the ages of 12 months, children are able to produce one word utterances. And the child can use one word to mean the whole thing as dada to mean I see daddy or daddy is coming etc. or Juice to means give me Juice etc. In Two-Word Stage: such as baby chair eaning the baby is sitting in the chair or babys chair etc. Hit Doggie meaning I hit the doggy etc. In Telegraphic Stage, children begin to produce longer and complex sentences such are chair broken, Car make noise, I good boy, man ride bus today etc. Language development from age 2 is rapid and fast. The telegraphic stage is a very important period which is characterized by the emergence of powerful grammatical devices. In short, Psycholinguistics deals with relationship between language and mind focusing mainly on how language is learnt, stored and occasionally lost. Mind and language have two functions: Acquisition and Performance and the two are linked. For empiricists, language learning is the result of conditioned behavior while Chomsky maintains that every human being has an innate capacity to learn his language. Language behavior is a very complex phenomenon. Language behavior is subject to different social and psychological factors. There is strong evidence to prove that language learning is a biologically controlled process. Psycholinguistics seeks to study all these issues and more.

Childhood Trauma and Symptoms of Psychological Disorders...

Psychology researchers have conducted many case studies and have spent countless hours reviewing case studies that have already been done to try to find the answer to the question, does childhood trauma cause and effect the symptoms of patients with psychological disorders such as Schizophrenia and Psychosis, or can the trauma cause a patient to have Schizophrenia or Psychosis. Many case studies’ findings state that there is a link. Some studies say only certain symptoms are affected. I want to know what symptoms are affected and what kind of childhood trauma could have possibly affected the symptoms of patients who have been diagnosed with Schizophrenia and Psychosis, or if the childhood trauma could have caused a patient‘s mental†¦show more content†¦This paper could also help families of patients with Schizophrenia or Psychosis by helping families understand what symptoms are heightened by childhood trauma, if the Schizophrenia or Psychosis illness was becau se of the childhood trauma. how to prevent the symptoms from becoming prominent, and what the family can do emotionally to help its psychologically distressed loved one. Does childhood trauma affect the symptoms of patients with psychological disorders such as Psychosis and Schizophrenia, or even cause Schizophrenia or Psychosis? Though I am limited by not being able to do a case study of my own to answer my thesis, I can use the findings from other researchers and their case studies, along with other resources and tools available to help answer my thesis. I have looked and will continue to look through libraries and online databases for creditable sources and case studies. So far, I have compiled the following sources to help with my research. â€Å"Childhood trauma and cognitive function in first-episode affective and non-affective psychosis† is an article explaining how researchers conducted a study to compare childhood trauma and its effects on patients with psychosis (Aa s). The study included effects on memory, executive function, and cognitive function. 138 people who have a â€Å"first-episode of psychosis† (Aas, et al 16) from London along with the same amount ofShow MoreRelatedBipolar Disorder : Psychological Trauma And Neurobiological Abnormalities1627 Words   |  7 Pagesbipolar disorder are often misdiagnosed because bipolar is such a complex disorder that contains symptoms of other mental illnesses. Bipolar disorder is a debilitating mental illness that consists of multiple different forms, each with their own symptoms and severity. Bipolar I and bipolar II are the two main forms of the disorder and often the most studied. 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