ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND DEEP
... functionality in at least one application ...
... functionality in at least one application ...
Cognitive Science And The Search For Intelligence
... The human mind is a sort of mysterious, amorphous substance, like a handful of clay from a fossil-rich gorge. We are told that it is a mixture of thoughts, emotions, memories, perspectives, and habits, half-blended and bound together stickily by something called consciousness. It contains fossils fr ...
... The human mind is a sort of mysterious, amorphous substance, like a handful of clay from a fossil-rich gorge. We are told that it is a mixture of thoughts, emotions, memories, perspectives, and habits, half-blended and bound together stickily by something called consciousness. It contains fossils fr ...
Intentionality and artificial intelligence
... Functionalism claims that Intentionality is a functional property. A physical thing can have the property of Intentionality because of its role in a network of causes and effects. But how do we get from the idea that a belief about dogs, say, is caused by certain experiences of dogs and causes cert ...
... Functionalism claims that Intentionality is a functional property. A physical thing can have the property of Intentionality because of its role in a network of causes and effects. But how do we get from the idea that a belief about dogs, say, is caused by certain experiences of dogs and causes cert ...
Towards a Theory of AI-Completeness.
... among people, such as translation. In this case, perhaps a general model of humans is not enough; instead, we can test every candidate. Only after we establish some estimate of his abilities can we use his answers to the real queries. Note that this requires algorithms that do not know in advance th ...
... among people, such as translation. In this case, perhaps a general model of humans is not enough; instead, we can test every candidate. Only after we establish some estimate of his abilities can we use his answers to the real queries. Note that this requires algorithms that do not know in advance th ...
Increase profit, drive growth and improve
... time and effort where it’s needed the most. Utopia Moderator can process any amount of content, in real time with industry-leading accuracy. ...
... time and effort where it’s needed the most. Utopia Moderator can process any amount of content, in real time with industry-leading accuracy. ...
Business Process Innovation with Artificial Intelligence
... state of the world and the future (because the outcome of actions is uncertain) and where agents have to deal with conflicting goals, for example when they want to maximize the profitability while minimizing risks, see [22, 19] for two pointers to seminal early publications. Decision theory allows a ...
... state of the world and the future (because the outcome of actions is uncertain) and where agents have to deal with conflicting goals, for example when they want to maximize the profitability while minimizing risks, see [22, 19] for two pointers to seminal early publications. Decision theory allows a ...
Slide 1
... programs that imitate the reasoning processes of experts in solving difficult problems 2. Neural Network – Attempts to emulate the way the human brain works – Fuzzy logic – A mathematical method of handling imprecise or subjective information ...
... programs that imitate the reasoning processes of experts in solving difficult problems 2. Neural Network – Attempts to emulate the way the human brain works – Fuzzy logic – A mathematical method of handling imprecise or subjective information ...
Expert systems/simulations
... inference engine used in the development of expert systems Prolog - Programming language used in the development of expert systems Forth - Programming language used in the development of expert systems R1/Xcon - Order processing SHINE Real-time Expert System - Spacecraft Health INference Engine STD ...
... inference engine used in the development of expert systems Prolog - Programming language used in the development of expert systems Forth - Programming language used in the development of expert systems R1/Xcon - Order processing SHINE Real-time Expert System - Spacecraft Health INference Engine STD ...
Artificial Intelligence and Pro-Social Behaviour
... demonstrated through some action, though action may include communication. Appropriate implies some goal, so any intelligent system has some metric by which its performance is judged. For biological systems, this is generally something related to survival3 . For AI, we the makers define the goals. S ...
... demonstrated through some action, though action may include communication. Appropriate implies some goal, so any intelligent system has some metric by which its performance is judged. For biological systems, this is generally something related to survival3 . For AI, we the makers define the goals. S ...
Real Robots that Pass Human Tests of Self-Consciousness
... concrete engineering effort focused on building agents/robots that can pass well-defined tests, this question becomes: Can robots pass test TS - C for self-consciousness? Prior Psychometric-AI work on this question by Govindarajulu and Bringsjord [9], [10] led to the engineering of a robot (Cogito) ...
... concrete engineering effort focused on building agents/robots that can pass well-defined tests, this question becomes: Can robots pass test TS - C for self-consciousness? Prior Psychometric-AI work on this question by Govindarajulu and Bringsjord [9], [10] led to the engineering of a robot (Cogito) ...
Motivated Learning for Machine Intelligence_ Nov
... He called this the “motivated complexity” principle. Chicken and egg problem? An agent must have a motivation to develop while his motivation comes from development? ...
... He called this the “motivated complexity” principle. Chicken and egg problem? An agent must have a motivation to develop while his motivation comes from development? ...
Can computers think? In attempt to make sense of this question Alan
... around and interacted causally with the world, wouldn’t that be enough to guarantee that it understood Chinese” (Searle)? Once again, Searle shows us that, as long as we suppose that the robot has a computer for a brain, it would still run into the issue of the Chinese Room, or the inability to get ...
... around and interacted causally with the world, wouldn’t that be enough to guarantee that it understood Chinese” (Searle)? Once again, Searle shows us that, as long as we suppose that the robot has a computer for a brain, it would still run into the issue of the Chinese Room, or the inability to get ...
Introduction to AI
... Thinking humanly: cognitive modeling ì CogniLve Modeling Approach ì 1960s "cogniLve revoluLon": informaLon-‐processing ...
... Thinking humanly: cognitive modeling ì CogniLve Modeling Approach ì 1960s "cogniLve revoluLon": informaLon-‐processing ...
Chapter 7 User Interface and Decision Visualization Applications
... neural network Software simulations of the massively parallel processes that involve processing elements interconnected in a network architecture Originally proposed as a model of the human brain’s activities The human brain is much more complex ...
... neural network Software simulations of the massively parallel processes that involve processing elements interconnected in a network architecture Originally proposed as a model of the human brain’s activities The human brain is much more complex ...
OpenCogPrime - Ben Goertzel
... Next, CST defines an implication called the “cognitive schematic” which serves as a general formulation of an intelligent system’s basic cognitive activity: Context & Procedure Goal
... Next, CST defines an implication called the “cognitive schematic” which serves as a general formulation of an intelligent system’s basic cognitive activity: Context & Procedure Goal
This formula may be interpreted to mean “If the context C appears to hold currently, then if I enact the procedu ...
(1927–2016) Scientist and inventor was a visionary founder of AI
... in the late 1950s, Marvin Minsky, John McCarthy, Herbert Simon, and Allen Newell started the work that led everyone to think of them as the founders of the field of Artificial Intelligence. Marvin Minsky, the last of the founders, died on January 24, 2016. Minsky championed the idea that computers w ...
... in the late 1950s, Marvin Minsky, John McCarthy, Herbert Simon, and Allen Newell started the work that led everyone to think of them as the founders of the field of Artificial Intelligence. Marvin Minsky, the last of the founders, died on January 24, 2016. Minsky championed the idea that computers w ...
A Preliminary Investigation of Alien Presence
... Interpretation is the process by which people assign meaning to events or objects in order to make them relevant in the context of their lives. Assigning meaning to an artifact is a complex process that involves at least two elements besides the artifact and its producer: (1) how viewers interpret o ...
... Interpretation is the process by which people assign meaning to events or objects in order to make them relevant in the context of their lives. Assigning meaning to an artifact is a complex process that involves at least two elements besides the artifact and its producer: (1) how viewers interpret o ...
Session 10
... Expert Systems: Knowledge intensive computer program that captures the expertise of human in limited domains of knowledge How Expert Systems Work Knowledge Base ...
... Expert Systems: Knowledge intensive computer program that captures the expertise of human in limited domains of knowledge How Expert Systems Work Knowledge Base ...
Artificial Life and the Animat Approach to Artificial Intelligence
... way. For instance, work by Brooks is based on the construction of real robots whose sizes, morphologies, and missions vary (Flynn and Brooks, 1988), but which are all controlled by the same subsumption architecture (Brooks, 1986). Essentially, this architecture consists in superimposing layers of ne ...
... way. For instance, work by Brooks is based on the construction of real robots whose sizes, morphologies, and missions vary (Flynn and Brooks, 1988), but which are all controlled by the same subsumption architecture (Brooks, 1986). Essentially, this architecture consists in superimposing layers of ne ...
Planning with Specialized SAT Solvers
... declarative representation of planning problems don’t conflict with efficiency. Interestingly, for finding optimal plans, SAT-based search (with reasonably weak assumptions) has recently been proved to be strictly more efficient than corresponding state-space search methods (Rintanen 2011b). The str ...
... declarative representation of planning problems don’t conflict with efficiency. Interestingly, for finding optimal plans, SAT-based search (with reasonably weak assumptions) has recently been proved to be strictly more efficient than corresponding state-space search methods (Rintanen 2011b). The str ...
Managing the Machines
... predictions. An approach called “deep learning” has been particularly important to the changes of the past five years. Figure 1 shows improvements in image classification, pedestrian detection, and object detection. The IMAGENET competition has gone from 72% successful image classification in 2010 t ...
... predictions. An approach called “deep learning” has been particularly important to the changes of the past five years. Figure 1 shows improvements in image classification, pedestrian detection, and object detection. The IMAGENET competition has gone from 72% successful image classification in 2010 t ...
Multi-Agent Systems
... NASA uses autonomous agents to handle tasks that appear simple but are actually quite complex. For example, one mission goal handled by autonomous agents is simply to not waste fuel. But accomplishing that means balancing multiple demands, such as staying on course and keeping experiments running, a ...
... NASA uses autonomous agents to handle tasks that appear simple but are actually quite complex. For example, one mission goal handled by autonomous agents is simply to not waste fuel. But accomplishing that means balancing multiple demands, such as staying on course and keeping experiments running, a ...
The Eastern Construction of the Artificial Mind
... This stated, we can start our analysis of the common points and differences between Eastern and Western AI researchers by trying to elucidate the nature of AI research goals and attitudes towards them. 2. Things or Minds? The Revolution within Cognitive Sciences First of all, we should undertake a s ...
... This stated, we can start our analysis of the common points and differences between Eastern and Western AI researchers by trying to elucidate the nature of AI research goals and attitudes towards them. 2. Things or Minds? The Revolution within Cognitive Sciences First of all, we should undertake a s ...
INFO372 - Department of Computer Science
... Rational behavior: doing the right thing; that which is expected to maximize goal achievement, given the available information; Doesn't necessarily involve thinking – e.g., blinking reflex – but thinking should be in the service of rational action; ...
... Rational behavior: doing the right thing; that which is expected to maximize goal achievement, given the available information; Doesn't necessarily involve thinking – e.g., blinking reflex – but thinking should be in the service of rational action; ...
Hive Collective Intelligence for Cloud Robotics
... leaving low latency crucial tasks to be handled on-board the robot. That premise is soundly founded upon the biological counterpart: the human neocortex, which separates higher level cognitive functionality from lower level functions [1][2], such as somatosensory, proprioceptive or motor skills, whi ...
... leaving low latency crucial tasks to be handled on-board the robot. That premise is soundly founded upon the biological counterpart: the human neocortex, which separates higher level cognitive functionality from lower level functions [1][2], such as somatosensory, proprioceptive or motor skills, whi ...