Managing Knowledge for the Digital Firm
... managers in the decision-making process, but managers have to make the final call. For instance, you suggest to your boss that you should receive a pay raise. You have many subjective reasons why you should receive the raise; you arrive early and stay late, your work is always (well almost always) t ...
... managers in the decision-making process, but managers have to make the final call. For instance, you suggest to your boss that you should receive a pay raise. You have many subjective reasons why you should receive the raise; you arrive early and stay late, your work is always (well almost always) t ...
Intelligent Search on the Internet
... as nodes in the semantic network-based profile. The SiteIF model of the profile is kept up to date by “looking over the user’s shoulder”, trying to anticipate which documents in the Web repository the user might find interesting. It builds a representation of the user’s interest by taking into account ...
... as nodes in the semantic network-based profile. The SiteIF model of the profile is kept up to date by “looking over the user’s shoulder”, trying to anticipate which documents in the Web repository the user might find interesting. It builds a representation of the user’s interest by taking into account ...
Expert Systems for Space Station Automation
... the problemto better fit the tool.It is usually better to build the more complex formalisms upon amorebasicprogramminglanguage suchasLISPandProlog.Bothlanguages serve different needs,and it is likely that any reasonably sophisticated system will haveto use both. In particular, Prolog is useful for r ...
... the problemto better fit the tool.It is usually better to build the more complex formalisms upon amorebasicprogramminglanguage suchasLISPandProlog.Bothlanguages serve different needs,and it is likely that any reasonably sophisticated system will haveto use both. In particular, Prolog is useful for r ...
Step back and look at the Science
... Is development gradual - accumulation of knowledge Or does it take big jumps - step from one way of thinking to another? Are children born with innate knowledge Or do they figure things out through experience? Is development driven by the social context Or by something inside each child? ...
... Is development gradual - accumulation of knowledge Or does it take big jumps - step from one way of thinking to another? Are children born with innate knowledge Or do they figure things out through experience? Is development driven by the social context Or by something inside each child? ...
introduction to artificial intelligence and expert systems
... ◦ "The 'heuristics' are mostly private, little rules of good judgment (rules of plausible reasoning, rules of good guessing) that characterize expert-level decision making in the field." [Edward Feigenbaum in Harmon & King, 1985, p.5] ◦ "incorporation of ... ways of handling uncertainty..."[Liebowit ...
... ◦ "The 'heuristics' are mostly private, little rules of good judgment (rules of plausible reasoning, rules of good guessing) that characterize expert-level decision making in the field." [Edward Feigenbaum in Harmon & King, 1985, p.5] ◦ "incorporation of ... ways of handling uncertainty..."[Liebowit ...
A Unified Framework for Pattern Recognition, Image Processing
... Next important point is the realisation of enhanced software productivity and application of AI techniques in order to utilise the above functions, along with retrieval and management of knowledge bases in hardware and software. It is needless to state that in order to equip these FGCS of tomorrow w ...
... Next important point is the realisation of enhanced software productivity and application of AI techniques in order to utilise the above functions, along with retrieval and management of knowledge bases in hardware and software. It is needless to state that in order to equip these FGCS of tomorrow w ...
Argumentation for Resolving Privacy Disputes in Online Social
... generate arguments from information provided by the agents. In an ABA framework, there are four main constructs: (i) the language to describe information, (ii) a set of rules to derive arguments, (iii) a set of assumptions to represent nonfactual information, and (iv) a set of contraries to disprove ...
... generate arguments from information provided by the agents. In an ABA framework, there are four main constructs: (i) the language to describe information, (ii) a set of rules to derive arguments, (iii) a set of assumptions to represent nonfactual information, and (iv) a set of contraries to disprove ...
Evaluation of General-Purpose Artificial Intelligence
... we refer to whatever thing is being tested, whether that includes a body or not. Intelligent systems interact with task-environments, which are tuples of a task and an environment. An environment contains objects that a system-under-test can interact with—which may form larger complex systems such a ...
... we refer to whatever thing is being tested, whether that includes a body or not. Intelligent systems interact with task-environments, which are tuples of a task and an environment. An environment contains objects that a system-under-test can interact with—which may form larger complex systems such a ...
Vygotsky and Cognitive Science: Language and the Unification of
... within Frawley's b o o k but neither form the central point of focus, which is reserved for the process of internalization. The emphasis that Vygotskians place upon the influence of external culture and social interactivity to the nature of an individual's mental processes creates a tension with the ...
... within Frawley's b o o k but neither form the central point of focus, which is reserved for the process of internalization. The emphasis that Vygotskians place upon the influence of external culture and social interactivity to the nature of an individual's mental processes creates a tension with the ...
also available as Word 2000 ()
... visual, auditory, and data), and deal with such attributes as: noisy, scalar, unreliable, incomplete, multi-dimensional (both space/ time dimensional, and having a large number of simultaneous features), etc. Fuzzy pattern matching helps deal with pattern variability and noise. Another essential req ...
... visual, auditory, and data), and deal with such attributes as: noisy, scalar, unreliable, incomplete, multi-dimensional (both space/ time dimensional, and having a large number of simultaneous features), etc. Fuzzy pattern matching helps deal with pattern variability and noise. Another essential req ...
artificial intelligence and decision support in natural
... et al. 1994). Its aim is to help meet the challenges of developing these forests in ecologically sound ways while respecting landowners' wishes and coping with high visitor pressure. In this system, there is strong emphasis on modular development, because each of the ecological program domains is la ...
... et al. 1994). Its aim is to help meet the challenges of developing these forests in ecologically sound ways while respecting landowners' wishes and coping with high visitor pressure. In this system, there is strong emphasis on modular development, because each of the ecological program domains is la ...
Proceedings of the Workshop “Formalizing Mechanisms for Artificial
... added to the buffer as a result of primitive acts that are performed at the PMLa, and are removed and processed at the PMLc, where they are further decomposed into low-level commands suitable for use by the SAL. For instance, a primitive action for a grasping effector might be to move the effector some ...
... added to the buffer as a result of primitive acts that are performed at the PMLa, and are removed and processed at the PMLc, where they are further decomposed into low-level commands suitable for use by the SAL. For instance, a primitive action for a grasping effector might be to move the effector some ...
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MCS 8100/CSC 2114 : Artificial Intelligence
... - Monitor trades, detect fraud, schedule shuttle loading, etc. ...
... - Monitor trades, detect fraud, schedule shuttle loading, etc. ...
artificial intelligence
... 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 ...
Preface - Beck-Shop
... Intelligent agents are one of the most important developments in computer science of the past decade. Agents are of interest in many important application areas, ranging from human-computer interaction to industrial process control. The ATAL workshop series aims to bring together researchers interes ...
... Intelligent agents are one of the most important developments in computer science of the past decade. Agents are of interest in many important application areas, ranging from human-computer interaction to industrial process control. The ATAL workshop series aims to bring together researchers interes ...
Creativity, Cognitive Mechanisms, and Logic
... be able to integrate higher and lower types of cognition in one architecture. Besides these possibilities, there is nevertheless an important cognitive ability that seems to be usable as a rather clear feature to distinguish human intelligence from all other forms of animal or artificial intelligenc ...
... be able to integrate higher and lower types of cognition in one architecture. Besides these possibilities, there is nevertheless an important cognitive ability that seems to be usable as a rather clear feature to distinguish human intelligence from all other forms of animal or artificial intelligenc ...
iat.9.05 - Web Intelligence Consortium
... 3. finds paths through the skill hierarchy from top-level goals; 4. selects one or more applicable skill paths for execution; 5. invokes the actions associated with each selected path. Thus, ICARUS agents are examples of what Nilsson (1994) refers to as teleoreactive systems. ...
... 3. finds paths through the skill hierarchy from top-level goals; 4. selects one or more applicable skill paths for execution; 5. invokes the actions associated with each selected path. Thus, ICARUS agents are examples of what Nilsson (1994) refers to as teleoreactive systems. ...
Expert System of AI
... language of choice for AI programmers. In the early 1980s it was given impetus with the announcement by the Japanese that they would use a logic programming language for the Fifth Generation Computing Systems (FGCS) Project. A variety of logic-based programming languages have since arisen, and the t ...
... language of choice for AI programmers. In the early 1980s it was given impetus with the announcement by the Japanese that they would use a logic programming language for the Fifth Generation Computing Systems (FGCS) Project. A variety of logic-based programming languages have since arisen, and the t ...
