Artificial Intelligence and Neural Networks The
... can easily be programmed. The amount of work in the education we can assume, as a first approximation, to be much the same as for the human child.” A. Turing on learning and evolution In order to achieve a greater efficiency in constructing a machine with human like intelligence, Turing divided the ...
... can easily be programmed. The amount of work in the education we can assume, as a first approximation, to be much the same as for the human child.” A. Turing on learning and evolution In order to achieve a greater efficiency in constructing a machine with human like intelligence, Turing divided the ...
Simulating Mirror Neurons
... Although we have chosen to focus on the system designed by Rebrová, Pecháč, and Farkǎs [5], in this section we will briefly describe the more widely known HAMMER system developed by Demiris and colleagues [1]. HAMMER, which stands for Hierarchical Attentive Multiple Models for Execution and Reco ...
... Although we have chosen to focus on the system designed by Rebrová, Pecháč, and Farkǎs [5], in this section we will briefly describe the more widely known HAMMER system developed by Demiris and colleagues [1]. HAMMER, which stands for Hierarchical Attentive Multiple Models for Execution and Reco ...
A Relational Approach to Tool
... by active experimentation, selecting different types of objects as the tool and manipulating them in different ways. By analysing the teacher’s demonstration and then experimenting, the robot learns a new tool action that will allow the agent to perform variations of the task. We define a tool actio ...
... by active experimentation, selecting different types of objects as the tool and manipulating them in different ways. By analysing the teacher’s demonstration and then experimenting, the robot learns a new tool action that will allow the agent to perform variations of the task. We define a tool actio ...
Questions Arising from a Proto-Neural Cognitive Architecture
... models are so complex that they cannot be simulated in real time for even a single neuron, and a vast number of neurons are needed to perform cognitive behaviours. Consequently, simpler models are important with the Leaky Integrate and Fire (LIF) model (Maas and Bishop 2001) being used by many resea ...
... models are so complex that they cannot be simulated in real time for even a single neuron, and a vast number of neurons are needed to perform cognitive behaviours. Consequently, simpler models are important with the Leaky Integrate and Fire (LIF) model (Maas and Bishop 2001) being used by many resea ...
VALUE ()
... The VALUE rubrics were developed by teams of faculty experts representing colleges and universities across the United States through a process that examined many existing campus rubrics and related documents for each learning outcome and incorporated additional feedback from faculty. The rubrics art ...
... The VALUE rubrics were developed by teams of faculty experts representing colleges and universities across the United States through a process that examined many existing campus rubrics and related documents for each learning outcome and incorporated additional feedback from faculty. The rubrics art ...
What`s Hot in Intelligent User Interfaces
... and unable to adapt. The performance metrics used to evaluate these algorithms (e.g., perplexity) are not always consistent with human judgement. To make data analysis more user-friendly, smart interaction techniques such as interactive data visualization are often used. At IUI 2015, we continue to ...
... and unable to adapt. The performance metrics used to evaluate these algorithms (e.g., perplexity) are not always consistent with human judgement. To make data analysis more user-friendly, smart interaction techniques such as interactive data visualization are often used. At IUI 2015, we continue to ...
Description Logics
... far, then this knowledge base would become inconsistent since it follows from the knowledge base that Frank is both a speaker and a PhD students, contradicting the stated disjointness of these two concepts. In order to ensure a reasonable and predictable behavior of a DL system, these inference prob ...
... far, then this knowledge base would become inconsistent since it follows from the knowledge base that Frank is both a speaker and a PhD students, contradicting the stated disjointness of these two concepts. In order to ensure a reasonable and predictable behavior of a DL system, these inference prob ...
XGBoost: A Scalable Tree Boosting System
... match the right ads with the right context; fraud detection systems protect banks from malicious attackers; anomaly event detection systems help experimental physicists to find events that lead to new physics. There are two important factors that drive these successful applications: usage of effecti ...
... match the right ads with the right context; fraud detection systems protect banks from malicious attackers; anomaly event detection systems help experimental physicists to find events that lead to new physics. There are two important factors that drive these successful applications: usage of effecti ...
Workshops Held at the First AAAI Conference on Human
... in a rapid and cost effective way. Since 2005 (when Amazon launched its microtask crowdsourcing platform, Mechanical Turk) the community of researchers in computer science, linguistics, speech technology, and so on have been changing their data collection, data labeling/annotation, data analysis, an ...
... in a rapid and cost effective way. Since 2005 (when Amazon launched its microtask crowdsourcing platform, Mechanical Turk) the community of researchers in computer science, linguistics, speech technology, and so on have been changing their data collection, data labeling/annotation, data analysis, an ...
Methods for reducing interference in the Complementary Learning
... very good at learning what all of these patterns have in common, but it shows very poor memory for specific, nonprototypical features of individual items. This is less of a problem for the hippocampal model than for the cortical model, because of the hippocampal model’s ability to assign relatively ...
... very good at learning what all of these patterns have in common, but it shows very poor memory for specific, nonprototypical features of individual items. This is less of a problem for the hippocampal model than for the cortical model, because of the hippocampal model’s ability to assign relatively ...
Behavioural Domain Knowledge Transfer for Autonomous Agents
... essarily have different utility or reward functions, their dependence on a single domain implies that locally their solutions will contain behavioural elements which are persistent across multiple tasks. This can be seen for example in the fact that some constraints such as obstacle avoidance or the ...
... essarily have different utility or reward functions, their dependence on a single domain implies that locally their solutions will contain behavioural elements which are persistent across multiple tasks. This can be seen for example in the fact that some constraints such as obstacle avoidance or the ...
Basic Artificial Intelligence Research at the Georgia Institute of
... ATLAST, which uses a mechanism for correcting erroneous decisions that is suggested by psycholinguistic studies of human language understanding (Eiselt 1987, 1989). The work on ATLAST not only offers a means of deriving more humanlike performance from natural language interface systems but also sugg ...
... ATLAST, which uses a mechanism for correcting erroneous decisions that is suggested by psycholinguistic studies of human language understanding (Eiselt 1987, 1989). The work on ATLAST not only offers a means of deriving more humanlike performance from natural language interface systems but also sugg ...
Hypothesis
... Artificial Intelligence Roman Barták Department of Theoretical Computer Science and Mathematical Logic ...
... Artificial Intelligence Roman Barták Department of Theoretical Computer Science and Mathematical Logic ...
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 ...
ILP turns 20 | SpringerLink
... 3.3 The role of logic programming In order to understand the development of ILP as a research area, it is important to reflect on its origins in and relationship with Logic Programming, which emerged as a declarative programming paradigm in the 1970s and became influential in the 1980s. Although it ...
... 3.3 The role of logic programming In order to understand the development of ILP as a research area, it is important to reflect on its origins in and relationship with Logic Programming, which emerged as a declarative programming paradigm in the 1970s and became influential in the 1980s. Although it ...
Analogy Generation with HowNet
... This diversity, as illustrated by Figure 3, means that the analogy “Death is an assassin” can be generated without recourse to a more abstract signature. ...
... This diversity, as illustrated by Figure 3, means that the analogy “Death is an assassin” can be generated without recourse to a more abstract signature. ...
An Application of Transfer to American Football
... goal is to apply knowledge acquired in the context of one task to a second task in the hopes of reducing the overhead associated with training and knowledge engineering in the second task. The underlying idea is that the human and computational costs of revising and adapting the previously learned k ...
... goal is to apply knowledge acquired in the context of one task to a second task in the hopes of reducing the overhead associated with training and knowledge engineering in the second task. The underlying idea is that the human and computational costs of revising and adapting the previously learned k ...
Structured Regularizer for Neural Higher
... feature functions and wkt,n are the weights. These functions can be any functions ranging from simple indicator functions, linear functions, up to functions computed using neural networks. We distinguish the following types of feature functions: – n-gram input-independent features. These features ar ...
... feature functions and wkt,n are the weights. These functions can be any functions ranging from simple indicator functions, linear functions, up to functions computed using neural networks. We distinguish the following types of feature functions: – n-gram input-independent features. These features ar ...
Computational Intelligence: Neural Networks and
... system is perceived to possess intelligent behavior such as generalization, discovery, association and abstraction. CI is a wide concept that can be applied to a large number of fields, including but not limited to complex systems modeling, diagnosis, prediction, control and information processing. ...
... system is perceived to possess intelligent behavior such as generalization, discovery, association and abstraction. CI is a wide concept that can be applied to a large number of fields, including but not limited to complex systems modeling, diagnosis, prediction, control and information processing. ...
One Decade of Universal Artificial Intelligence
... What was wrong with last century’s AI. Some claim that AI has not progressed much in the last 50 years. It definitely has progressed much slower than the fathers of AI expected and/or promised. There are also some philosophical arguments that the grand goal of creating super-human AI may even be elu ...
... What was wrong with last century’s AI. Some claim that AI has not progressed much in the last 50 years. It definitely has progressed much slower than the fathers of AI expected and/or promised. There are also some philosophical arguments that the grand goal of creating super-human AI may even be elu ...
two per page - University of Waterloo
... [The automation of] activities that we associate with human thinking, such as decision making, problem solving, learning [Bellman 78] The art of creating machines that perform functions that require intelligence when performed by a human [Kurzweil 90] The study of how to make computers do things at ...
... [The automation of] activities that we associate with human thinking, such as decision making, problem solving, learning [Bellman 78] The art of creating machines that perform functions that require intelligence when performed by a human [Kurzweil 90] The study of how to make computers do things at ...
learning motor skills by imitation: a biologically inspired robotic model
... The temporal cortex module. The temporal cortex module (TC) performs recognition of the direction and orientation of movement of each imitatee’s limb relative to a frame of reference located on the imitatee’s body. That is, the module takes as input the Cartesian coordinates of each joint of the imi ...
... The temporal cortex module. The temporal cortex module (TC) performs recognition of the direction and orientation of movement of each imitatee’s limb relative to a frame of reference located on the imitatee’s body. That is, the module takes as input the Cartesian coordinates of each joint of the imi ...
EXTINCTION LEARNING - Ruhr
... Associative Pavlovian fear conditioning and fear extinction are widely used paradigms to gain insights into substrates and mechanisms supporting learning and memory processes. They are powerful models because of striking parallels between rodents and humans and their high relevance for unraveling ne ...
... Associative Pavlovian fear conditioning and fear extinction are widely used paradigms to gain insights into substrates and mechanisms supporting learning and memory processes. They are powerful models because of striking parallels between rodents and humans and their high relevance for unraveling ne ...