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Agentless
In computer science, a software agent or software AI is a computer program that acts for a user or other program in a relationship of agency, which derives from the Latin ''agere'' (to do): an agreement to act on one's behalf. Such "action on behalf of" implies the authority to decide which, if any, action is appropriate. Agents are colloquially known as ''bots'', from ''robot''. They may be embodied, as when execution is paired with a robot body, or as software such as a chatbot executing on a phone (e.g. Siri) or other computing device. Software agents may be autonomous or work together with other agents or people. Software agents interacting with people (e.g. chatbots, human-robot interaction environments) may possess human-like qualities such as natural language understanding and speech, personality or embody humanoid form (see Asimo). Related and derived concepts include ''intelligent agents'' (in particular exhibiting some aspects of artificial intelligence, such as reas ...
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Computer Science
Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to Applied science, practical disciplines (including the design and implementation of Computer architecture, hardware and Computer programming, software). Computer science is generally considered an area of research, academic research and distinct from computer programming. Algorithms and data structures are central to computer science. The theory of computation concerns abstract models of computation and general classes of computational problem, problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and for preventing Vulnerability (computing), security vulnerabilities. Computer graphics (computer science), Computer graphics and computational geometry address the generation of images. Progr ...
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Function (engineering)
In engineering, a function is interpreted as a specific process, action or task that a system is able to perform.R.Barker, C. Longman, Case Method: Function and Process Modelling, Addison-Wesley Professional, 1992. In engineering design In the lifecycle of engineering projects, there are usually distinguished subsequently: '' Requirements'' and ''Functional specification'' documents. The ''Requirements'' usually specifies the most important attributes of the requested system. In the ''Design specification'' documents, physical or software processes and systems are frequently the requested functions In products For advertising and marketing of technical products, the number of functions they can perform is often counted and used for promotion. For example a calculator capable of the basic mathematical operations of addition, subtraction, multiplication, and division, would be called a "four-function" model; when other operations are added, for example for scientific, financial, or ...
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Knowledge Navigator
The Knowledge Navigator is a concept described by former Apple Computer CEO John Sculley in his 1987 book, ''Odyssey: Pepsi to Apple''. It describes a device that can access a large networked database of hypertext information, and use software agents to assist searching for information. Videos Apple produced several concept videos showcasing the idea. All of them featured a tablet style computer with numerous advanced capabilities, including an excellent text-to-speech system with no hint of "computerese", a gesture based interface resembling the multi-touch interface later used on the iPhone and an equally powerful speech understanding system, allowing the user to converse with the system via an animated "butler" as the software agent. In one vignette a university professor returns home and turns on his computer, in the form of a tablet the size of a large-format book. The agent is a bow-tie wearing butler who appears on the screen and informs him that he has several calls waiti ...
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John Sculley
John Sculley III (born April 6, 1939) is an American businessman, entrepreneur and investor in high-tech startups. Sculley was vice-president (1970–1977) and president of PepsiCo (1977–1983), until he became chief executive officer (CEO) of Apple Inc. on April 8, 1983, a position he held until leaving in 1993. In May 1987, Sculley was named Silicon Valley's top-paid executive, with an annual salary of US$10.2 million. Sales at Apple increased from $800 million to $8 billion under Sculley's management, although many attribute his success to Sculley joining the company just when Steve Jobs' visions and Steve Wozniak's creations had become highly lucrative. His stint at Apple remains controversial due to his departure from co-founder Steve Jobs's sales structure, particularly regarding Sculley's decision to compete with IBM in selling computers to the same types of customers. Others say that the "two clashed over management styles and priorities, Jobs focusing on future in ...
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Distributed Artificial Intelligence
Distributed Artificial Intelligence (DAI) also called Decentralized Artificial Intelligence is a subfield of artificial intelligence research dedicated to the development of distributed solutions for problems. DAI is closely related to and a predecessor of the field of multi-agent systems. Definition Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision making problems. It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources. These properties allow it to solve problems that require the processing of very large data sets. DAI systems consist of autonomous learning processing nodes ( agents), that are distributed, often at a very large scale. DAI nodes can act independently and partial solutions are integrated by communication between nodes, often asynchronously. By virtue of their scale, DAI systems are robust and elastic, and by necessity, loosely coupled. Fur ...
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Actor Model
The actor model in computer science is a mathematical model of concurrent computation that treats ''actor'' as the universal primitive of concurrent computation. In response to a message it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other indirectly through messaging (removing the need for lock-based synchronization). The actor model originated in 1973. It has been used both as a framework for a theoretical understanding of computation and as the theoretical basis for several practical implementations of concurrent systems. The relationship of the model to other work is discussed in actor model and process calculi. History According to Carl Hewitt, unlike previous models of computation, the actor model was inspired by physics, including general relativity and quantum mechanics. It was also influenced by the ...
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Business Entity
In law, a legal person is any person or 'thing' (less ambiguously, any legal entity) that can do the things a human person is usually able to do in law – such as enter into contracts, sue and be sued, own property, and so on. The reason for the term "''legal'' person" is that some legal persons are not people: companies and corporations are "persons" legally speaking (they can legally do most of the things an ordinary person can do), but they are not people in a literal sense. There are therefore two kinds of legal entities: human and non-human. In law, a human person is called a ''natural person'' (sometimes also a ''physical person''), and a non-human person is called a ''juridical person'' (sometimes also a ''juridic'', ''juristic'', ''artificial'', ''legal'', or ''fictitious person'', la, persona ficta). Juridical persons are entities such as corporations, firms (in some jurisdictions), and many government agencies. They are treated in law as if they were persons. Whil ...
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Rational Agent
A rational agent or rational being is a person or entity that always aims to perform optimal actions based on given premises and information. A rational agent can be anything that makes decisions, typically a person, firm, machine, or software. The concept of rational agents can be found in various disciplines such as artificial intelligence, cognitive science, decision theory, economics, ethics, game theory, and the study of practical reason. Economics In reference to economics, rational agent refers to hypothetical consumers and how they make decisions in a free market. This concept is one of the assumptions made in neoclassical economic theory. The concept of economic rationality arises from a tradition of marginal analysis used in neoclassical economics. The idea of a rational agent is important to the philosophy of utilitarianism, as detailed by philosopher Jeremy Bentham's theory of the felicific calculus, also known as the hedonistic calculus. The action a rational age ...
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Intelligent Agent
In artificial intelligence, an intelligent agent (IA) is anything which perceives its environment, takes actions autonomously in order to achieve goals, and may improve its performance with learning or may use knowledge. They may be simple or complex — a thermostat is considered an example of an intelligent agent, as is a human being, as is any system that meets the definition, such as a firm, a state, or a biome. Leading AI textbooks define "artificial intelligence" as the "study and design of intelligent agents", a definition that considers goal-directed behavior to be the essence of intelligence. Goal-directed agents are also described using a term borrowed from economics, "rational agent". An agent has an "objective function" that encapsulates all the IA's goals. Such an agent is designed to create and execute whatever plan will, upon completion, maximize the expected value of the objective function. For example, a reinforcement learning agent has a "reward function ...
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Expert System
In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. An expert system is divided into two subsystems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging abilities. History Early development Soon after the dawn of modern computers in the late 1940s and early 1950s, researchers started realizing the immense potential these machines had for modern society. One of ...
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Thread (computer Science)
In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. The implementation of threads and processes differs between operating systems. In Modern Operating Systems, Tanenbaum shows that many distinct models of process organization are possible.TANENBAUM, Andrew S. Modern Operating Systems. 1992. Prentice-Hall International Editions, ISBN 0-13-595752-4. In many cases, a thread is a component of a process. The multiple threads of a given process may be executed concurrently (via multithreading capabilities), sharing resources such as memory, while different processes do not share these resources. In particular, the threads of a process share its executable code and the values of its dynamically allocated variables and non- thread-local global variables at any given time. History Threads made an early appearance under the name of "tasks ...
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Proactive
Proactivity or proactive behavior refers to self-initiated behavior that endeavours to solve a problem before it has occurred. Proactive behavior involves acting in advance of a future situation, rather than reacting. It refers to taking control of a situation and making early changes, rather than adjusting to a situation or waiting for something to happen. Reactivity, as a behaviour pattern, is a habitual mode of taking one's lead from the situation or a participant, rather than taking initiative to solve the problem on your own terms. In moderation, this can be an effective expression of social risk aversion. Taken to excess, reactivity is a form of disempowerment. History The use of the word ''proactive'' (or ''pro-active'') was limited to the domain of experimental psychology in the 1930s, and used with a different meaning. ''Oxford English Dictionary'' (OED) credits Paul Whiteley and Gerald Blankfort, citing their 1933 paper discussing proactive inhibition as the "impairme ...
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