cognitive wheels: the frame problem of ai daniel c. dennett
... The installation problem is then the problem of installing in one way or another all the information needed by an agent to plan in a changing world. It is a difficult problem because the information must be installed in a usable format. The problem can be broken down initially into the semantic prob ...
... The installation problem is then the problem of installing in one way or another all the information needed by an agent to plan in a changing world. It is a difficult problem because the information must be installed in a usable format. The problem can be broken down initially into the semantic prob ...
expert systems combined with neural networks
... the notion of an open marketing system to explain the concept of marketing. In the accomplishment of the marketing concept, a marketing system is defined as a set of elements and relationships which (1) have an identifiable boundary; (2) provide a method to identify or chart the movement or flow of ...
... the notion of an open marketing system to explain the concept of marketing. In the accomplishment of the marketing concept, a marketing system is defined as a set of elements and relationships which (1) have an identifiable boundary; (2) provide a method to identify or chart the movement or flow of ...
pdf
... areas of interest for AI began to crystallize. These areas targeted individual intelligent capabilities: knowledge representation, planning, computer vision, natural language understanding, machine learning, etc. In what later became known as classical AI, these problems were generally tackled by id ...
... areas of interest for AI began to crystallize. These areas targeted individual intelligent capabilities: knowledge representation, planning, computer vision, natural language understanding, machine learning, etc. In what later became known as classical AI, these problems were generally tackled by id ...
Towards Real-time Probabilistic Risk Assessment by
... portance of the approach is to be explicit in how systems are configured such that a directed graph is developed containing a top-down model of dependencies. This approach is similar to a Fault-Tree or Failure Mode analysis – but rather than focus on what could fail, it addresses what is required to ...
... portance of the approach is to be explicit in how systems are configured such that a directed graph is developed containing a top-down model of dependencies. This approach is similar to a Fault-Tree or Failure Mode analysis – but rather than focus on what could fail, it addresses what is required to ...
New Trends in Intelligent Systems
... correct direction to produce a "satisfied" schedule. The errors on a given event induced by the constraints are summed together and then passed through a sigmoid function. The output of the sigmoid function f(x) is used to shift the begin and end times of the event to drive the schedule to a more sa ...
... correct direction to produce a "satisfied" schedule. The errors on a given event induced by the constraints are summed together and then passed through a sigmoid function. The output of the sigmoid function f(x) is used to shift the begin and end times of the event to drive the schedule to a more sa ...
SIGNPOSTING: AN AI APPROACH TO SUPPORTING HUMAN
... The signposting approach to supporting design decision making comes out of the realisation that many important design processes have structures that defy conventional linear process descriptions. They involve complex interdependencies between design choices, so that designers have to estimate parame ...
... The signposting approach to supporting design decision making comes out of the realisation that many important design processes have structures that defy conventional linear process descriptions. They involve complex interdependencies between design choices, so that designers have to estimate parame ...
Artificial Intelligence
... Most often, it’s a description, a model, of the essential features of the otherwise arbitrarily complicated and continuous world. Which things are we going to talk about? Which are we going to pay attention to? How are we going to choose a representation that affords reasonable computation? The diff ...
... Most often, it’s a description, a model, of the essential features of the otherwise arbitrarily complicated and continuous world. Which things are we going to talk about? Which are we going to pay attention to? How are we going to choose a representation that affords reasonable computation? The diff ...
High-Level Information Fusion with Bayesian - CEUR
... tems that feed information directly to human users. Subsequent generation of high-level information fusion (HLIF) products, such as situation displays, automated decision support, and predictive analysis, relies heavily on human cognition. The tacit underlying assumption is that humans are still the ...
... tems that feed information directly to human users. Subsequent generation of high-level information fusion (HLIF) products, such as situation displays, automated decision support, and predictive analysis, relies heavily on human cognition. The tacit underlying assumption is that humans are still the ...
CV - Olivier Georgeon
... implementing constructivist learning and developmental artificial intelligence. This is because TBR provides a technical framework for implementing intrinsically-motivated bottom-up selfprogramming agents. Intrinsically-motivated bottom-up self-programming contributes to achieving constitutive aut ...
... implementing constructivist learning and developmental artificial intelligence. This is because TBR provides a technical framework for implementing intrinsically-motivated bottom-up selfprogramming agents. Intrinsically-motivated bottom-up self-programming contributes to achieving constitutive aut ...
the first of a series of anthropomimetic musculoskeletal upper torsos
... Alan Diamond, Max Lungarella and Rob Knight Abstract— The human body was not designed by engineers and the way in which it is built poses enormous control problems. Its complexity challenges the ability of classical control theory to explain human movement as well as the development of human motor s ...
... Alan Diamond, Max Lungarella and Rob Knight Abstract— The human body was not designed by engineers and the way in which it is built poses enormous control problems. Its complexity challenges the ability of classical control theory to explain human movement as well as the development of human motor s ...
PDF only
... This can be accomplished in a number of ways, most of which exploit one or more of the innumerable cognitive biases humans are victims of. The first strategy is to disseminate conflicting information that would create doubt in the public's imagination about the dangers and opportunities of AGI resea ...
... This can be accomplished in a number of ways, most of which exploit one or more of the innumerable cognitive biases humans are victims of. The first strategy is to disseminate conflicting information that would create doubt in the public's imagination about the dangers and opportunities of AGI resea ...
Artificial Intelligence and Expert Systems
... Knowledge rules (declarative rules), state all the facts and relationships about a problem Inference rules (procedural rules), advise on how to solve a problem, given that certain facts are known Inference rules contain rules about rules (metarules) Knowledge rules are stored in the knowledge base I ...
... Knowledge rules (declarative rules), state all the facts and relationships about a problem Inference rules (procedural rules), advise on how to solve a problem, given that certain facts are known Inference rules contain rules about rules (metarules) Knowledge rules are stored in the knowledge base I ...
SCM Sweb
... from every other sentence. Different sentences are represented by different sentence letters (for instance, A, B, and C). We cannot represent the similarities between the various sentences, because we take the whole sentence as a unit. Propositional logic cannot show how it is possible to conclude t ...
... from every other sentence. Different sentences are represented by different sentence letters (for instance, A, B, and C). We cannot represent the similarities between the various sentences, because we take the whole sentence as a unit. Propositional logic cannot show how it is possible to conclude t ...
PowerPoint Slides - Computer Science Department
... Principles and Learning Objectives (continued) • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial int ...
... Principles and Learning Objectives (continued) • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial int ...