The Chinese room argument holds that a computer executing a program cannot have a mind, understanding, or consciousness, regardless of how intelligently or human-like the program may make the computer behave. The argument was presented in a 1980 paper by the philosopher John Searle entitled "Minds, Brains, and Programs" and published in the journal Behavioral and Brain Sciences. Before Searle, similar arguments had been presented by figures including Gottfried Wilhelm Leibniz (1714), Anatoly Dneprov (1961), Lawrence Davis (1974) and Ned Block (1978). Searle's version has been widely discussed in the years since. The centerpiece of Searle's argument is a thought experiment known as the Chinese room.
Marvin Lee Minsky was an American cognitive and computer scientist concerned largely with research of artificial intelligence (AI). He co-founded the Massachusetts Institute of Technology's AI laboratory and wrote several texts concerning AI and philosophy.
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.
Intelligence has been defined in many ways: the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving. It can be described as the ability to perceive or infer information; and to retain it as knowledge to be applied to adaptive behaviors within an environment or context.
Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches the spectrum of human-level intelligence capabilities across a wide range of cognitive tasks. This positions AGI between narrow AI, which is designed for specific tasks, and artificial superintelligence (ASI), which would surpass the spectrum of human-level intelligence. AGI is considered one of various definitions of strong AI.
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.
Computational cognition is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments. In psychology, it is an approach which develops computational models based on experimental results. It seeks to understand the basis behind the human method of processing of information. Early on computational cognitive scientists sought to bring back and create a scientific form of Brentano's psychology.
The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will. Furthermore, the technology is concerned with the creation of artificial animals or artificial people so the discipline is of considerable interest to philosophers. These factors contributed to the emergence of the philosophy of artificial intelligence.
The following outline is provided as an overview of and topical guide to artificial intelligence:
Aaron Sloman is a philosopher and researcher on artificial intelligence and cognitive science. He held the Chair in Artificial Intelligence and Cognitive Science at the School of Computer Science at the University of Birmingham, and before that a chair with the same title at the University of Sussex. Since retiring he is Honorary Professor of Artificial Intelligence and Cognitive Science at Birmingham. He has published widely on philosophy of mathematics, epistemology, cognitive science, and artificial intelligence; he also collaborated widely, e.g. with biologist Jackie Chappell on the evolution of intelligence.
Austin Tate is Emeritus Professor of Knowledge-based systems in the School of Informatics at the University of Edinburgh. From 1985 to 2019 he was Director of AIAI in the School of Informatics at the University of Edinburgh.
The Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic).
Informatics is the study of computational systems. According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, in which the central notion is transformation of information. In some cases, the term "informatics" may also be used with different meanings, e.g. in the context of social computing, or in context of library science.
The LIDA cognitive architecture attempts to model a broad spectrum of cognition in biological systems, from low-level perception/action to high-level reasoning. Developed primarily by Stan Franklin and colleagues at the University of Memphis, the LIDA architecture is empirically grounded in cognitive science and cognitive neuroscience. It is an extension of IDA, which adds mechanisms for learning. In addition to providing hypotheses to guide further research, the architecture can support control structures for software agents and robots. Providing plausible explanations for many cognitive processes, the LIDA conceptual model is also intended as a tool with which to think about how minds work.
Language and Communication Technologies is the scientific study of technologies that explore language and communication. It is an interdisciplinary field that encompasses the fields of computer science, linguistics and cognitive science.
Rosaria Conte was an Italian social scientist. She was the head of the Laboratory of Agent Based Social Simulation at the ISTC-CNR in Rome, which hosts an interdisciplinary research group working at the intersection among cognitive, social and computational sciences. She was President of European Social Simulation Association and AISC. Rosaria Conte published more than 130 works among volumes, papers in scientific journals, conference proceedings and book chapters. Her scientific activity aims at explaining social behaviour among intelligent autonomous systems, and modeling the dynamics of norms and norm-enforcement mechanisms. Her research was characterized by a highly interdisciplinary approach, at the intersection among cognitive, social and computational sciences. In her name, the European Social Simulation Association assigns every other year the Outstanding Contribution Award for Social Simulation, whose first recipients are Nigel Gilbert and Uri Wilensky.
Nicholas Robert Jennings is a British computer scientist who was appointed Vice-Chancellor and President of Loughborough University in 2021. He was previously the Vice-Provost for Research and Enterprise at Imperial College London, the UK's first Regius Professor of Computer Science, and the inaugural Chief Scientific Adviser to the UK Government on National Security. His research covers the areas of AI, autonomous systems, agent-based computing and cybersecurity.
Michael John Wooldridge is a professor of computer science at the University of Oxford. His main research interests is in multi-agent systems, and in particular, in the computational theory aspects of rational action in systems composed of multiple self-interested agents. His work is characterised by the use of techniques from computational logic, game theory, and social choice theory.
Kerstin Dautenhahn is a German computer scientist specializing in social robotics and human–robot interaction. She is a professor of electrical and computer engineering at the University of Waterloo, where she holds the Canada 150 Research Chair in Intelligent Robotics and directs the Social and Intelligent Robotics Research Laboratory.
