Measurements of collective machine intelligence
... machines. Yet, it is only a matter of time until this task can also be performed by machines. It is hence becoming more and more difficult to distinguish humans from machines based on their performance in specific cognitive tasks. However, a good performance at the Turing test does not imply higher ...
... machines. Yet, it is only a matter of time until this task can also be performed by machines. It is hence becoming more and more difficult to distinguish humans from machines based on their performance in specific cognitive tasks. However, a good performance at the Turing test does not imply higher ...
Statistics and Computing: having an impact
... within ‘Probability and Statistics’. How the journal fares compared to other ‘Computer Science’ journals is less easy to tell. First, unlike ‘Probability and Statistics’ the ISI further subdivides ‘Computer Science’ into several categories. Of these, I have selected the category ‘Artificial Intellig ...
... within ‘Probability and Statistics’. How the journal fares compared to other ‘Computer Science’ journals is less easy to tell. First, unlike ‘Probability and Statistics’ the ISI further subdivides ‘Computer Science’ into several categories. Of these, I have selected the category ‘Artificial Intellig ...
Application of Systemic Approach to Sophocles Global Specification
... so called, inference engines. Here, the input data are also the active part of executed calculus. In other words the system can acquist and modify rules and algorithms i.e. its own temporal "knowledge". New and especially promising "intelligent" autonomous and decision support systems are those whic ...
... so called, inference engines. Here, the input data are also the active part of executed calculus. In other words the system can acquist and modify rules and algorithms i.e. its own temporal "knowledge". New and especially promising "intelligent" autonomous and decision support systems are those whic ...
Disjunctive Temporal Planning with Uncertainty
... Following the STPU formalism [Vidal and Fargier, 1999], in a DTPU we divide the time-point variables into two classes: the controllable decision variables Vd and the uncontrollable parameters Vu . In an STPU, this induces a partition of the temporal relation constraints C into two types. A constrain ...
... Following the STPU formalism [Vidal and Fargier, 1999], in a DTPU we divide the time-point variables into two classes: the controllable decision variables Vd and the uncontrollable parameters Vu . In an STPU, this induces a partition of the temporal relation constraints C into two types. A constrain ...
A Unified Cognitive Architecture for Physical Agents
... the conditions under which the clause should match against the contents of short-term memories. The architecture’s most basic activity is conceptual inference. On each cycle, the environmental simulator returns a set of perceived objects, including their types, names, and descriptions in the format ...
... the conditions under which the clause should match against the contents of short-term memories. The architecture’s most basic activity is conceptual inference. On each cycle, the environmental simulator returns a set of perceived objects, including their types, names, and descriptions in the format ...
Heuristics, Planning and Cognition
... and actions respectively. F0 is the set of fluents true in the initial situation and n is a planning horizon, initially the index of the first layer Fi where all the goals appear. In this construction, certain pairs of actions and certain pairs of fluents are marked as mutually exclusive or mutex. T ...
... and actions respectively. F0 is the set of fluents true in the initial situation and n is a planning horizon, initially the index of the first layer Fi where all the goals appear. In this construction, certain pairs of actions and certain pairs of fluents are marked as mutually exclusive or mutex. T ...
Intermediate Features Improve Incremental Analogical Mapping Mark Alan Finlayson Patrick Henry Winston
... elements may naturally be more informative and might be profitably used for certain sorts of cognitive tasks, such as object identification or precedent retrieval. We call these descriptive elements intermediate features because the evidence suggests that the most informative features are those of a ...
... elements may naturally be more informative and might be profitably used for certain sorts of cognitive tasks, such as object identification or precedent retrieval. We call these descriptive elements intermediate features because the evidence suggests that the most informative features are those of a ...
Program - Association for the Advancement of Artificial Intelligence
... (please see schedule for detail). In addition, a total of 21 technical demos will be divided among the three evening sessions. Tuesday evening will also include Doctoral Consortium posters and Virtual Agents demos. Wednesday and Thursday will include posters by student abstract authors who will pres ...
... (please see schedule for detail). In addition, a total of 21 technical demos will be divided among the three evening sessions. Tuesday evening will also include Doctoral Consortium posters and Virtual Agents demos. Wednesday and Thursday will include posters by student abstract authors who will pres ...
Early Artificial Life
... But there is a 2nd aspect to n-sAI (maybe the Engineering part). This comes from recognising that symbolic AI approaches to eg pattern recognition are useless in comparison to the ability of a migrating bird (that does not use symbols or logic) … that the most complex bit of machinery humans have de ...
... But there is a 2nd aspect to n-sAI (maybe the Engineering part). This comes from recognising that symbolic AI approaches to eg pattern recognition are useless in comparison to the ability of a migrating bird (that does not use symbols or logic) … that the most complex bit of machinery humans have de ...
Computational Creativity, Concept Invention, and General
... about the creativity involved. Computational Creativity (CC) has traditionally focused on artefact generation, to the extent that the degree of creativity judged to be in the system is often considered to be entirely dependent on characteristics of the set of artefacts it produces (for instance, see ...
... about the creativity involved. Computational Creativity (CC) has traditionally focused on artefact generation, to the extent that the degree of creativity judged to be in the system is often considered to be entirely dependent on characteristics of the set of artefacts it produces (for instance, see ...
Human-Robot-Communication and Machine Learning
... to robot and robot to user communication. This is learning for communication. It aims at improving the communication between the two agents, i.e., to learn communication skills. Consequently, the need for enhancing Human-Robot Communication is closely related to the idea of allowing humans to make ...
... to robot and robot to user communication. This is learning for communication. It aims at improving the communication between the two agents, i.e., to learn communication skills. Consequently, the need for enhancing Human-Robot Communication is closely related to the idea of allowing humans to make ...
A Turing Test for Computer Game Bots
... challenge and an inspiration for artificial intelligence researchers. It has also been the subject of much philosophical debate, and continues to be a touchstone for discussions of what it means for a computing machine to be intelligent. The Turing Test was first proposed in Alan Turing’s 1950 paper ...
... challenge and an inspiration for artificial intelligence researchers. It has also been the subject of much philosophical debate, and continues to be a touchstone for discussions of what it means for a computing machine to be intelligent. The Turing Test was first proposed in Alan Turing’s 1950 paper ...
Specific expert systems
... Edward Feigenbaum of Stanford University has defined expert system as “an intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for their solutions.” It is a branch of artificial intelligence intro ...
... Edward Feigenbaum of Stanford University has defined expert system as “an intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for their solutions.” It is a branch of artificial intelligence intro ...
THE APPLICATION OF EXPERT SYSTEM: A REVIEW OF
... for children to study in the classroom was not like today. Mostly at the countryside areas, all teaching course provided in conventional method where less or no interaction in the learning process between teachers and pupils. Teachers would teach by chalk-talk method and pupils were just listening a ...
... for children to study in the classroom was not like today. Mostly at the countryside areas, all teaching course provided in conventional method where less or no interaction in the learning process between teachers and pupils. Teachers would teach by chalk-talk method and pupils were just listening a ...
Information Technology and Artificial Intelligence
... computers thinking when they engage in computational processes? Is thinking more complicated and subtle than simply computation?34 Could a computer someday be able to think, using abstract reasoning, creativity, and basic common sense in a manner similar to humans? In the future, will a computer pos ...
... computers thinking when they engage in computational processes? Is thinking more complicated and subtle than simply computation?34 Could a computer someday be able to think, using abstract reasoning, creativity, and basic common sense in a manner similar to humans? In the future, will a computer pos ...
Introduction - Computer Science & Engineering
... – At most 30 minutes – Briefly summarize the paper – Discuss the paper, its strengths, weaknesses, any points ...
... – At most 30 minutes – Briefly summarize the paper – Discuss the paper, its strengths, weaknesses, any points ...
Information, Ethics, and Computers: The Problem of Autonomous
... autonomous because it was simply impossible to control it real-time. Another example are software bots which act in their environment and can display moral characteristics (Mowbray, 2002). If machines can act autonomously and be involved in moral situations then the question becomes prevalent whethe ...
... autonomous because it was simply impossible to control it real-time. Another example are software bots which act in their environment and can display moral characteristics (Mowbray, 2002). If machines can act autonomously and be involved in moral situations then the question becomes prevalent whethe ...
PPT
... • In the 1990’s there was a growing concern that work in classical AI ignored crucial scientific questions: How do we integrate the components of intelligence (e.g. learning & planning)? How does perception interact with reasoning? How does the demand for real-time performance in a complex, changing ...
... • In the 1990’s there was a growing concern that work in classical AI ignored crucial scientific questions: How do we integrate the components of intelligence (e.g. learning & planning)? How does perception interact with reasoning? How does the demand for real-time performance in a complex, changing ...
Planning with Partially Specified Behaviors
... for different high-level states). 4.2. High-Level Planning Problem In this section we describe how to construct the high-level planning problem P = hF, T, I, Gi. The fluents in F model the values of the high-level variables in Vh , but since fluents are binary, we include one fluent per variable-val ...
... for different high-level states). 4.2. High-Level Planning Problem In this section we describe how to construct the high-level planning problem P = hF, T, I, Gi. The fluents in F model the values of the high-level variables in Vh , but since fluents are binary, we include one fluent per variable-val ...
Aalborg Universitet The Meaning of Action
... The recognition and interpretation of human or robot induced actions and activities has gained considerable interest in the computer vision, robotics and AI communities. This is partially due to increasing computer power that allows large amount of input data to be stored and processed, but also due ...
... The recognition and interpretation of human or robot induced actions and activities has gained considerable interest in the computer vision, robotics and AI communities. This is partially due to increasing computer power that allows large amount of input data to be stored and processed, but also due ...
Applications of Artificial Neural Networks: A Review
... is a part of computer science which focuses to creation of intelligent machines, that is, systems that work and behave like humans. From recent few years, artificial neural networks have proved themselves as a better alternative for solving complex problems in many areas. Input layer, hidden layers ...
... is a part of computer science which focuses to creation of intelligent machines, that is, systems that work and behave like humans. From recent few years, artificial neural networks have proved themselves as a better alternative for solving complex problems in many areas. Input layer, hidden layers ...
Unit 4_Expert Systems and AI
... programs that exhibit intelligent behavior. It is concerned with the concepts and methods of symbolic inference, or reasoning, by a computer, and how the knowledge used to make those inferences will be represented inside the machine. Of course, the term intelligence covers many cognitive skills, inc ...
... programs that exhibit intelligent behavior. It is concerned with the concepts and methods of symbolic inference, or reasoning, by a computer, and how the knowledge used to make those inferences will be represented inside the machine. Of course, the term intelligence covers many cognitive skills, inc ...
PDF 1 of 2 - Massachusetts Institute of Technology
... skolemize that expression you should get P(Fleep) and Q(Fleep). You make up a name and you put it in there, but every occurrence of this variable has to get mapped into that same unique name. ...
... skolemize that expression you should get P(Fleep) and Q(Fleep). You make up a name and you put it in there, but every occurrence of this variable has to get mapped into that same unique name. ...
Heuristics for Planning with SAT
... its integration in the overall SAT solving algorithm in a productive way. To achieve this, the variable selection depends not only on the initial state, the goals and the actions represented by the input clauses, but also the current state of the SAT solver. The state of the solver is primarily char ...
... its integration in the overall SAT solving algorithm in a productive way. To achieve this, the variable selection depends not only on the initial state, the goals and the actions represented by the input clauses, but also the current state of the SAT solver. The state of the solver is primarily char ...
s-cheran-g-gargano
... Interface Agents: It act like a filter or interface between the user and a source of information Information Agents: It can retrieve information for the user from different sources (Internet Search Engine) Believable Agents: It simulates emotions such that can pass as a human being Cooperative Probl ...
... Interface Agents: It act like a filter or interface between the user and a source of information Information Agents: It can retrieve information for the user from different sources (Internet Search Engine) Believable Agents: It simulates emotions such that can pass as a human being Cooperative Probl ...