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Norvigova formulacija fenomena podataka tvrdi da je jednostavan model sa puno podataka efikasniji od kompleksnog modela sa malo podataka. To znači da je bolje koristiti jednostavan model koji je naučen na velikom broju podataka nego koristiti kompleksan model koji je naučen na malom broju podataka. Ova formulacija naglašava važnost količine podataka u odnosu na složenost modela i ukazuje na to da veći skup podataka može nadmašiti složenost modela u postizanju boljih rezultata.

The correct answer suggests that one of the first difficulties in the development of artificial intelligence arose because most early programs contained little or no knowledge about the domain they were addressing. This lack of knowledge hindered the ability of these programs to effectively reason and make intelligent decisions.

The term "Artificial Intelligence" was first coined at the Dartmouth Workshop in 1956. This workshop, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, brought together researchers from various fields to discuss the possibility of creating machines that can simulate human intelligence. It was during this workshop that the term "Artificial Intelligence" was used for the first time to describe the field of study and research in creating intelligent machines.

The correct answer suggests that there are situations where there is a need to take action even when there is no provable right course of action. This implies that rationality goes beyond just correct reasoning and involves making decisions in uncertain or ambiguous situations where there may not be a clear-cut answer.

The answer states that the third difficulty in the development of artificial intelligence arose due to the fundamental limitations of basic architectures of intelligent systems. This suggests that the limitations in the underlying structures and designs of intelligent systems have posed significant challenges in the development of artificial intelligence.

Racunarski agenti se razlikuju od obicnih racunarskih programa po tome sto poseduju autonomno upravljanje, opazanje i razumevanje okruzenja, i mogucnost adaptacije na promene. Ovo znaci da racunarski agenti mogu samostalno donositi odluke i izvrsavati zadatke bez potrebe za stalnim nadzorom korisnika. Oni takodje mogu opazati i razumeti okruzenje u kojem se nalaze, sto im omogucava da se prilagode i reaguju na promene u tom okruzenju.

According to Leibniz's theory of degrees of knowledge, essential or complete knowledge is the one that can be reduced to elementary concepts. It means that this knowledge is based on fundamental and basic principles that do not require further explanation or elaboration. It does not refer specifically to knowledge related to inanimate nature, as the other options suggest, but rather emphasizes the idea that essential knowledge is based on fundamental and elementary concepts.

The correct answer is "Simbolicki, Subsimbolicki". This is because the question is asking about the two main categories of approaches in the field of VI (Visual Impairment). The options provided are "Simbolicki" and "Subsimbolicki" which are the correct answers. The other options "Simbioticki" and "Simulativni" are not mentioned in the question and therefore are incorrect.

The condition for application in production systems is that the state satisfies the global database so that the rule can be applied.

The given statement is incorrect. A rational agent does not necessarily have to be made in the likeness of humans and their way of achieving goals. Rationality in agents refers to their ability to make decisions based on logical reasoning and maximizing their expected utility, which may differ from human behavior. Therefore, it is not necessary for a rational agent to mimic human behavior in achieving goals.

This answer suggests that the weak hypothesis of artificial intelligence is that machines can act in a way that appears intelligent. This means that machines can mimic intelligent behavior, but it does not necessarily mean that they are truly thinking or have consciousness.

The acronym PEAS stands for Performance measure, Environment, Actuators, Sensors. This acronym represents the components of an intelligent agent. The performance measure refers to the criteria used to evaluate the success of an agent's actions. The environment is the external context in which the agent operates. Actuators are the physical devices that allow the agent to interact with the environment, while sensors are the devices that allow the agent to perceive and gather information about the environment.

Seymour Papert is credited with first using the term "problem-toy." He was a mathematician and computer scientist who developed the concept of "constructionism," which emphasizes learning through hands-on experiences and problem-solving. Papert believed that children could learn complex concepts by engaging with educational toys and technology. His influential work in the field of educational technology and his advocacy for the use of computers in education make him the most likely candidate to have first used the term "problem-toy."

Norbert Wiener is the correct answer because he is known as the founder of cybernetics, which is the study of control and communication in animals and machines. Wiener's work laid the foundation for modern control theory and systems theory, which are fundamental concepts in the field of management. His theories and research have had a significant impact on various disciplines, including engineering, mathematics, and management.

When a connection is established between the production system and the human problem-solving process, it is the long-term memory that corresponds to the rules. Long-term memory stores information and knowledge that can be accessed and used in problem-solving. It allows individuals to recall and apply rules or strategies that have been learned and stored over time. This connection between the production system and long-term memory suggests that rules are stored and retrieved from long-term memory to guide problem-solving processes.

The correct answer is "Netacno" which means "False" in English. The explanation for this answer is that the Turing test does not involve direct physical interaction between the examiner and the system being tested. Instead, the test is based on the ability of a machine to exhibit intelligent behavior indistinguishable from that of a human. The examiner interacts with the machine through a text-based interface, without any physical contact or direct sensory perception.

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Intelligent behavior is not necessarily determined by logical thinking. While logical thinking can be a part of intelligent behavior, there are other factors such as creativity, emotional intelligence, and intuition that also contribute to intelligent behavior. Therefore, it is incorrect to say that intelligent behavior must be determined by logical thinking alone.

The correct answer is "Moguce su masine koje zaista misle" (Possible are machines that truly think). This answer suggests that it is possible for machines to have genuine thoughts, indicating a belief in the existence of true artificial intelligence. The other options imply that machines can only act intelligently or that they are claimed to think intelligently, but do not necessarily possess true thinking capabilities.

The correct answer is "Postoji." This suggests that there is a logistic direction in artificial intelligence.

The given statement is "Tjuringov test je do danas prosao veci broj sistema vestacke inteligencije" which translates to "A greater number of artificial intelligence systems have passed the Turing test to this day." The correct answer is "Netacno" which means "False." This suggests that the statement is not true, and it implies that a lesser number of AI systems have passed the Turing test so far.

AGI stands for artificial general intelligence, which refers to the development of highly autonomous systems that can outperform humans in most economically valuable work. It represents the ability of a machine to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence. This term is often used in the field of artificial intelligence to distinguish it from narrow AI systems that are designed for specific tasks. AGI aims to create machines that possess human-like intelligence and can adapt to various situations, making it a significant area of research and development in the field.

The correct answer is "A machine that generates a variable set of symbolic structures." This explanation states that a physical symbol system is a machine that has the ability to generate a set of symbolic structures that can vary. This suggests that a physical symbol system is not just a static collection of symbols, but rather a dynamic system that can generate and manipulate symbols in different ways.

The given statement is false. The Murov law predicts that the number of CPU gates will never reach the number of neurons in the brain. However, this is not true as the number of CPU gates has already surpassed the number of neurons in the human brain. Therefore, the correct answer is "Netacno" or "False".

The correct answer includes three categories of production systems: direct systems, bilateral systems, and reverse systems. These categories are based on the direction of the search in the production system. Direct systems refer to systems that search forward in a single direction, while bilateral systems search in both forward and backward directions. Reverse systems, on the other hand, search backward from the goal state.

Reverzni sistemi su produkcioni sistemi koji koriste O pravila produkcije.

Oblasti operacionih istrazivanja je sastavni deo ekonomije. Operaciona istrazivanja koriste matematicke metode i tehnike za resavanje problema i optimizaciju procesa u ekonomiji. Ova oblast se primenjuje za analizu i poboljsanje efikasnosti proizvodnje, upravljanje lancem snabdevanja, planiranje rasporeda resursa i mnoge druge ekonomske probleme.

Komutativni produkcioni sistemi su sistemi koji ispoljavaju svojstvo komutativnosti, tj. redosled primene pravila ne utiče na konačni rezultat. Osim toga, ovi sistemi takođe poseduju svojstvo monotonosti, što znači da primena više pravila ne može dovesti do manje rezultata. Dakle, kombinacija ovih svojstava čini ove sisteme komutativnim produkcionim sistemima.

The correct answer is "Adaptacija, Ucenje". This is because an autonomous agent refers to a system or device that can operate independently without human intervention. The abilities mentioned, such as adaptability and learning, are crucial for an autonomous agent to navigate and respond effectively to its environment. Adaptation allows the agent to adjust its behavior based on changing circumstances, while learning enables it to acquire new knowledge and improve its performance over time.

The answer states that in the early development of artificial intelligence, it was believed that a small number of general principles underlie human problem-solving abilities. This suggests that the approach to artificial intelligence was focused on identifying and applying these general principles to replicate human intelligence.

The basic principles of Aristotelian logic are the Principle of Identity, the Principle of Contradiction, and the Principle of Excluded Middle. The Principle of Identity states that a statement is true if it refers to itself. The Principle of Contradiction states that a statement cannot be both true and false at the same time. The Principle of Excluded Middle states that a statement must either be true or false, with no middle ground. These principles form the foundation of Aristotelian logic and are essential for reasoning and argumentation.

The term "bot" in internet slang refers to both a web robot and a mechanical robot. A web robot, also known as a web crawler or spider, is a program that automatically navigates through websites to gather information. On the other hand, a mechanical robot refers to a physical machine that can perform tasks autonomously or under remote control. Both types of robots are commonly referred to as "bots" in internet jargon.

Racunarski agenti se razlikuju od obicnih racunarskih programa po tome sto poseduju opazanje i razumevanje okruzenja, autonomno upravljanje i mogucnost adaptacije na promene. Ovo znaci da racunarski agenti su sposobni da primete i shvate informacije iz okruzenja u kojem se nalaze, da samostalno donose odluke i upravljaju svojim aktivnostima, kao i da se prilagode promenama u okruzenju kako bi nastavili efikasno da obavljaju svoje zadatke.

The correct answer is "Princip propagacije greske unazad" which translates to "Backpropagation principle" in English. Backpropagation is a widely used algorithm for training multilayer neural networks. It involves calculating the gradient of the error function with respect to the weights of the network and then updating the weights in the opposite direction of the gradient to minimize the error. This process is repeated iteratively until the network converges to a satisfactory solution. Backpropagation allows the network to learn from its mistakes and adjust its weights accordingly, making it a crucial component in training neural networks.

According to Leibniz's theory of degrees of knowledge, the use of essential or complete knowledge must enable the creation of an artificial system with intelligent properties in the most complete form. This means that by utilizing essential or complete knowledge, it is possible to develop an artificial system that possesses highly advanced intelligent characteristics.

The processes that operate in physical symbol systems are creation, modification, reproduction, and destruction. These processes involve the creation of new symbols, the modification of existing symbols, the reproduction or copying of symbols, and the destruction or removal of symbols. These processes are fundamental to the functioning and evolution of physical symbol systems, allowing for the generation of new knowledge and the adaptation of the system to its environment.

The correct answer is "Akcije na osnovu reakcije." This means that the function of the agent is to take actions based on its reactions to the environment. It implies that the agent will respond to stimuli or events in the environment and make decisions on what actions to take. This suggests that the agent is reactive and its actions are determined by its immediate reactions to the environment.

The given correct answer states that there is no formal theory for solving any problem in artificial intelligence. This implies that there is no universally applicable and comprehensive theory that can be used to address all AI problems. It suggests that AI problems are diverse and complex, and may require different approaches and techniques depending on the specific problem domain.

Rudolf Carnap wrote the book "Logisticka struktura sveta" in 1928.

Parcijalno komutativni produkcioni sistemi su sistemi koji zadržavaju svojstvo invarijantnosti u odnosu na permutovanje sekvence pravila, ali samo u određenim slučajevima. To znači da se redosled primene pravila može menjati samo u određenim situacijama, dok u ostalim slučajevima redosled mora biti fiksan. Ova vrsta sistema omogućava fleksibilnost u primeni pravila, ali ipak postoji ograničenje u pogledu permutacije.

The given answer suggests that the correct ranking of the techniques in terms of current relevance is as follows: Deep learning, Robotic planning, Fuzzy logic. This implies that deep learning is considered the most relevant technique, followed by robotic planning and then fuzzy logic.

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Monotoni produkcioni sistemi refer to systems where the application of one rule does not prevent the subsequent application of another rule that could have been applied at the time of applying the first rule. This means that the order in which rules are applied does not affect the final outcome.

Emil Post introduced the concept of production systems.

The strategy of managing production systems determines which applicable rules will be activated at a specific step of work.

The approach based on rational agents has advantages over the approach based on "laws of thought" because rationality can be precisely mathematically defined, and it is more general than the approach based on "laws of thought." This means that the rational agent approach allows for a more precise and comprehensive understanding of human behavior and thinking, as it takes into account mathematical definitions of rationality and goes beyond the limitations of traditional logical reasoning.

The given statement is in Croatian and it translates to "Cognitive science and cognitive neuroscience are outside the domain of VI today." The correct answer is "True." This means that cognitive science and cognitive neuroscience are not within the scope or subject matter of VI (which could stand for various things, such as virtual intelligence or visual impairment) at present.

The correct answer includes four categories of defining artificial intelligence: systems that think rationally, systems that think like humans, systems that act rationally, and systems that act like humans. These categories cover different aspects of AI, including the ability to think and reason, as well as the ability to act in a rational or human-like manner.

The necessary components of intelligent agents are actuators, sensors, and the environment. Actuators are responsible for carrying out actions based on the agent's decisions. Sensors gather information from the environment, which is then used by the agent to make decisions. The environment is the external context in which the agent operates. Prijemnici, transimiteri, and simulacija are not mentioned as obligatory components in the question, hence they are not included in the answer.

Ekspertski sistemi su sistemi koji se zasnivaju na eksplicitno kodovanom znanju. To znači da se znanje stručnjaka iz određene oblasti prenosi u sisteme putem programskog koda ili baza podataka. Ovi sistemi koriste ovo znanje kako bi donosili odluke ili davali preporuke u skladu sa postavljenim pravilima i logikom. Stručno znanje se prenosi na sistem kako bi se omogućilo automatizovano donošenje odluka ili rešavanje problema koji zahtevaju stručnost.

The given answer lists different types of knowledge according to Leibniz. "Claritis" refers to clear and distinct knowledge, "Cognito confusa" refers to confused knowledge, "Cognito distincta" refers to distinct knowledge, and "Cognito intuitiva" refers to intuitive knowledge. These terms describe different levels or qualities of knowledge according to Leibniz's philosophy.

The correct answer includes the components of production systems. These components are the global database, set of production rules, and management strategy. These components are essential for the functioning of production systems as they provide the necessary data, rules, and strategies for efficient production processes. The inclusion of mathematical arguments and complete knowledge further enhances the effectiveness of production systems.

The given systems, scanners without codes and voice-activated phone menus, are examples of artificial intelligence systems because they use advanced technology to perform tasks that typically require human intelligence. Scanners without codes use computer vision and machine learning algorithms to recognize and interpret images without the need for barcodes or QR codes. Voice-activated phone menus utilize natural language processing and speech recognition to understand and respond to spoken commands. These systems demonstrate the ability to learn, adapt, and perform tasks that traditionally require human intelligence, making them examples of artificial intelligence.

The given answer states two statements about the consistency of axioms in a computationally diplomatic system that describes the arithmetic of natural numbers. The first statement is that the consistency of an axiom cannot be proven within the system itself. This means that the system cannot prove that its axioms are free from contradiction. The second statement is that if the system is consistent, then it can be complete. This means that the system can prove or disprove any statement within its domain.

The basic criteria for intelligent behavior in a system often include reasoning and behavior. Reasoning refers to the ability to think logically and make decisions based on available information, while behavior refers to the actions and responses exhibited by the system. These two criteria are essential for a system to demonstrate intelligent behavior as they involve the ability to process information, analyze it, and act accordingly.

The given correct answer is "Netacno" which means "False" in English. This suggests that Tomas Bajes did not propose a formula that describes the way the given probabilities change regardless of new observations.

The correct answer is that the connection between rules is established only through the global database, the global database is accessible to all production rules, and the system is highly modular, allowing changes in the global database to be made almost independently. This suggests that in production systems, rules are not directly connected to each other, but rather rely on the global database for communication. Additionally, the global database is accessible to all production rules, indicating that it serves as a central repository of information. The high modularity of the system allows for independent modifications to be made in the global database, further emphasizing its importance in the production system.

When a connection is established between the production system and human problem-solving, the resolution of a conflicting set corresponds to reasoning.

The correct answer is a combination of three properties that a computer must possess to pass the Turing test: natural language processing (NLP), knowledge representation, and self-awareness. NLP allows the computer to understand and process human language, while knowledge representation enables it to store and utilize information. Self-awareness refers to the computer's ability to recognize and understand its own existence and actions. These three properties are crucial for a computer to successfully imitate human intelligence and pass the Turing test.

Artificial intelligence is applied in solving unstructured and perceptual problems. Unstructured problems refer to those that do not have a clear framework or set of rules, requiring AI to analyze and interpret information in a flexible and adaptable way. Perceptual problems involve tasks that require AI to understand and interpret sensory information, such as visual or auditory data. Therefore, AI is used in solving these types of problems to provide intelligent and automated solutions.

The correct answer includes four types of arguments: argument svesti (argument of consciousness), matematicki argument (mathematical argument), argument neformalnosti (argument of informality), and argument nesposobnosti (argument of inability). These types of arguments are commonly used in various fields of study and reasoning processes.

To pass the Turing test, a system must possess the properties of knowledge representation, machine learning, natural language processing, and automatic reasoning. These properties allow the system to effectively understand and process information, learn from it, communicate in natural language, and make logical deductions or inferences. These capabilities are essential for a system to convincingly mimic human intelligence and pass the Turing test.