Syllabus for M Sc - Rajshahi University Alumni Association
... Overview of networking: Network architecture, planning and designing networks, Protocols, TCP/IP, IPv6, Agent. Ad hoc network architecture and protocols: Blue Tooth, IEEE802.11; Voice-over-IP, Combination of IP and ATM Technologies: Classical IP-over-ATM, LAN emulation. Concepts and principles of cl ...
... Overview of networking: Network architecture, planning and designing networks, Protocols, TCP/IP, IPv6, Agent. Ad hoc network architecture and protocols: Blue Tooth, IEEE802.11; Voice-over-IP, Combination of IP and ATM Technologies: Classical IP-over-ATM, LAN emulation. Concepts and principles of cl ...
Module Introduction - School of Computer Science
... Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is an academic field of study which studies the goal of creating intelligence. Major AI researchers and textbooks define this field as "the study and design of intelligent agents", where an intelligent agent is a ...
... Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is an academic field of study which studies the goal of creating intelligence. Major AI researchers and textbooks define this field as "the study and design of intelligent agents", where an intelligent agent is a ...
Slide 1 - Cal State LA - Cal State LA
... Artificial intelligence (AI) - the science of making machines imitate human thinking and behavior. ...
... Artificial intelligence (AI) - the science of making machines imitate human thinking and behavior. ...
The 25 International Joint Conference on Artificial Intelligence
... The key idea is that human-machine teams can often achieve better performance than either alone. To enable this, AI techniques must not only accommodate humans in the decision-making loop, but to go to great lengths to make such participation as natural and simple as possible. Building such cognitiv ...
... The key idea is that human-machine teams can often achieve better performance than either alone. To enable this, AI techniques must not only accommodate humans in the decision-making loop, but to go to great lengths to make such participation as natural and simple as possible. Building such cognitiv ...
full text (.pdf)
... A Proof-Theoretic Approach to Mathematical Knowledge Management∗ Dexter Kozen and Ganesh Ramanarayanan ...
... A Proof-Theoretic Approach to Mathematical Knowledge Management∗ Dexter Kozen and Ganesh Ramanarayanan ...
Fuzzy Systems and Neuro-Computing in Credit Approval
... fuzzy sets, and simulates the process of normal human reasoning by allowing the computer to behave less precisely and logically than conventional computers do. The rationale behind this approach is that decision-making is not always a matter of black and white, true or false; it often involves gray ...
... fuzzy sets, and simulates the process of normal human reasoning by allowing the computer to behave less precisely and logically than conventional computers do. The rationale behind this approach is that decision-making is not always a matter of black and white, true or false; it often involves gray ...
What is AI?
... Boundaries of AI are not well defined. Often it means the advanced software engineering, sophisticated software techniques for hard problems that can't be solved in any easy way. AI programs - like people - are usually not perfect, and even make mistakes. ...
... Boundaries of AI are not well defined. Often it means the advanced software engineering, sophisticated software techniques for hard problems that can't be solved in any easy way. AI programs - like people - are usually not perfect, and even make mistakes. ...
Building Knowledge-Driven DSS and Mining Data
... A rule is a formal way of specifying a recommendation, directive, or strategy, expressed in an IF premise THEN conclusion structure. Rules are one way of expressing declarative knowledge. For example, IF a car won't start, AND the lights are dim, THEN the car may have a dead battery. Thus, rules are ...
... A rule is a formal way of specifying a recommendation, directive, or strategy, expressed in an IF premise THEN conclusion structure. Rules are one way of expressing declarative knowledge. For example, IF a car won't start, AND the lights are dim, THEN the car may have a dead battery. Thus, rules are ...
PDF
... techniques have been identified including: dispatching rules, heuristics, genetic algorithms and artificial intelligence techniques (as fuzzy logic, Petri nets, case-based reasoning and knowledge-based system). All these above described techniques have been widely used to solve static deterministic ...
... techniques have been identified including: dispatching rules, heuristics, genetic algorithms and artificial intelligence techniques (as fuzzy logic, Petri nets, case-based reasoning and knowledge-based system). All these above described techniques have been widely used to solve static deterministic ...
PDF file
... cognitive development. A 2001 article in Science [9] summarized the pivotal role that mental development should play in machine intelligence. Traditional research paradigms in machine learning have been fruitfully informed by models of human learning. However, existing behavior-based learning techni ...
... cognitive development. A 2001 article in Science [9] summarized the pivotal role that mental development should play in machine intelligence. Traditional research paradigms in machine learning have been fruitfully informed by models of human learning. However, existing behavior-based learning techni ...
Lab Presentation.
... – Explore it, try it out. – Think about the following: • How would you program it? • What kinds of algorithms and data does the program need? • Would you consider the program intelligent? CSC 8520 Fall, 2008. Paula Matuszek ...
... – Explore it, try it out. – Think about the following: • How would you program it? • What kinds of algorithms and data does the program need? • Would you consider the program intelligent? CSC 8520 Fall, 2008. Paula Matuszek ...
ECAI94.pdf
... The standard definition of minimal abductive diagnosis in causal nets as given above often yields multiple explanations for a given set of observations, without any further ways to distinguish between these alternative explanations. In practical diagnostic settings, experts exploit knowledge about t ...
... The standard definition of minimal abductive diagnosis in causal nets as given above often yields multiple explanations for a given set of observations, without any further ways to distinguish between these alternative explanations. In practical diagnostic settings, experts exploit knowledge about t ...
Integrating Scheduling and Control Functions in Computer
... prominent characteristics: explanation capabilities, efficient problem-solving strategies, user interface and documentation capabilities, mature develop technology, and commercially available development tools. However, expert systems have several limitations: inability to learn, domain-dependence, ...
... prominent characteristics: explanation capabilities, efficient problem-solving strategies, user interface and documentation capabilities, mature develop technology, and commercially available development tools. However, expert systems have several limitations: inability to learn, domain-dependence, ...
Combinations of Case-Based Reasoning with Other Intelligent Methods (short paper)
... the reuse phase, a solution for the new case is created based on the retrieved most relevant case(s). The revise phase validates the correctness of the proposed solution, perhaps with the intervention of the user. Finally, the retain phase decides whether the knowledge learned from the solution of t ...
... the reuse phase, a solution for the new case is created based on the retrieved most relevant case(s). The revise phase validates the correctness of the proposed solution, perhaps with the intervention of the user. Finally, the retain phase decides whether the knowledge learned from the solution of t ...
Presidential Address by Bruce Buchanan
... I first note the obvious: There is no consensus, just considerable ambiguity, about what we call creative behavior or what is involved in this behavior.2 In everyday speech, gifted people who create new ideas, new works of art, new music, and so on, are said to “think outside the box,” “break the ru ...
... I first note the obvious: There is no consensus, just considerable ambiguity, about what we call creative behavior or what is involved in this behavior.2 In everyday speech, gifted people who create new ideas, new works of art, new music, and so on, are said to “think outside the box,” “break the ru ...
artificial intelligence research in particle accelerator control
... description language for representing control actions. The reasoning system searches the oriented graph defined by an object description to make decisions about equipment setup without human assistance. The program provides a good example of using object models for control decision making. It does n ...
... description language for representing control actions. The reasoning system searches the oriented graph defined by an object description to make decisions about equipment setup without human assistance. The program provides a good example of using object models for control decision making. It does n ...
`Will Artificial Intelligence Systems Ever Surpass Human Intelligence
... risks this can occur if this happens in the future. The purpose of this dissertation is to research the question ‘could AI surpass human intelligence’? Could a computer ever display more intelligence than the humans who program its system? Would a computer act of its free will and show consciousness ...
... risks this can occur if this happens in the future. The purpose of this dissertation is to research the question ‘could AI surpass human intelligence’? Could a computer ever display more intelligence than the humans who program its system? Would a computer act of its free will and show consciousness ...
Towards Decentralization
... challenges is in characterizing these tools and understanding where and when to apply each goal of having heterogeneous plan generation and plan execution agents work together is likely to remain elusive representations and general-purpose strategies for distributed problem solving are even mo ...
... challenges is in characterizing these tools and understanding where and when to apply each goal of having heterogeneous plan generation and plan execution agents work together is likely to remain elusive representations and general-purpose strategies for distributed problem solving are even mo ...
Robin Douglas Burke Associate Professor
... Burke, R. & Kass, A. Refining the Universal Indexing Frame to Support Retrieval of Tutorial Stories. In AAAI Workshop on Indexing and Reuse in Multimedia Systems, pages 1-11. AAAI, 1994. Burke, R., Kedar, S. & Kass, A. Acquiring Retrieval Knowledge for Multimedia Stories. In AAAI Workshop on Indexin ...
... Burke, R. & Kass, A. Refining the Universal Indexing Frame to Support Retrieval of Tutorial Stories. In AAAI Workshop on Indexing and Reuse in Multimedia Systems, pages 1-11. AAAI, 1994. Burke, R., Kedar, S. & Kass, A. Acquiring Retrieval Knowledge for Multimedia Stories. In AAAI Workshop on Indexin ...
Specifying and Verifying Distributed Intelligent Systems
... METATEM systems (although see [13] for a semantics of Concurrent METATEM based on dense temporal logic [5]). This is because each object in a Concurrent METATEM system is a symbolic AI system in its own right: it contains a set of explicitly represented (temporal logic) formulae which it manipulates ...
... METATEM systems (although see [13] for a semantics of Concurrent METATEM based on dense temporal logic [5]). This is because each object in a Concurrent METATEM system is a symbolic AI system in its own right: it contains a set of explicitly represented (temporal logic) formulae which it manipulates ...
Conceptual Blending and the Quest for the Holy Creative Process
... program that has the capacity of generating new cases by combining two distinct case-bases from two different domains. This could happen when it didn’t find a good solution for a given problem and, in this case, it would just go out and search in an apparently unrelated knowledge space. Unless with ...
... program that has the capacity of generating new cases by combining two distinct case-bases from two different domains. This could happen when it didn’t find a good solution for a given problem and, in this case, it would just go out and search in an apparently unrelated knowledge space. Unless with ...
CSE 5290: Artificial Intelligence
... According to Allerhand [7], the use of simple models in speech recognition creates an inherent performance limitation. A plateau is reached, set by the assumptions implicit in the model, where further improvement cannot be made. Combination of evidence offers a possible means of overcoming the funda ...
... According to Allerhand [7], the use of simple models in speech recognition creates an inherent performance limitation. A plateau is reached, set by the assumptions implicit in the model, where further improvement cannot be made. Combination of evidence offers a possible means of overcoming the funda ...
Semantics and cognitive research, by Francois Rastier.
... 1. The state of cognitive research has evolved considerably over the five year period during which this book was written. In France, as elsewhere in Europe, cognitive research has been institutionalized to a considerable extent in research and in teaching programs as well. Indeed a good number of re ...
... 1. The state of cognitive research has evolved considerably over the five year period during which this book was written. In France, as elsewhere in Europe, cognitive research has been institutionalized to a considerable extent in research and in teaching programs as well. Indeed a good number of re ...
slides - UCLA Computer Science
... and was increasingly expensive to maintain. Reasons for these limits include: ...
... and was increasingly expensive to maintain. Reasons for these limits include: ...
and QUALITATIVE CONSTRAINTS - Dipartimento di Informatica
... (1.1) the end of A is equal to the start of B (1.2) the end of B is equal to the start of C (1.3) the duration of A is between 10 and 20 m (1.4) the duration of B is between 10 and 20 m (1.5) the duration of C is between 10 and 20 m ...
... (1.1) the end of A is equal to the start of B (1.2) the end of B is equal to the start of C (1.3) the duration of A is between 10 and 20 m (1.4) the duration of B is between 10 and 20 m (1.5) the duration of C is between 10 and 20 m ...