Exploring coordination properties within populations of distributed agents Elizabeth Sklar
... experimentation with “tight”, “planned” and “computationally feasible” coordination; when agents communicate their current plan to their neighbors, results are improved over situations where there is no communication at all. Auctions, in economic terms, are market mechanisms – for selling and/or buy ...
... experimentation with “tight”, “planned” and “computationally feasible” coordination; when agents communicate their current plan to their neighbors, results are improved over situations where there is no communication at all. Auctions, in economic terms, are market mechanisms – for selling and/or buy ...
AAAI News - Association for the Advancement of Artificial Intelligence
... first recipient of this award was Barbara J. Grosz, Gordon McKay professor of computer science at Harvard University and a past president of AAAI. Grosz was honored for her contributions to the field of AI through sustained service in a multitude of academic, professional society, and government lea ...
... first recipient of this award was Barbara J. Grosz, Gordon McKay professor of computer science at Harvard University and a past president of AAAI. Grosz was honored for her contributions to the field of AI through sustained service in a multitude of academic, professional society, and government lea ...
Heuristic Planning for Hybrid Systems
... fact layer. Time-passing can be recognised as a helpful action when its effects achieve some goal conditions (or intermediate goal facts). Furthermore, if at a given time t there are no helpful actions available to the planner, time-passing is assigned highest priority and used as a helpful action. ...
... fact layer. Time-passing can be recognised as a helpful action when its effects achieve some goal conditions (or intermediate goal facts). Furthermore, if at a given time t there are no helpful actions available to the planner, time-passing is assigned highest priority and used as a helpful action. ...
Preface - Beck-Shop
... As with previous workshops in the series, we chose to emphasize what we perceive as important new themes in agent research. This year’s themes were both associated with the fact that the technology of intelligent agents and multi-agent systems is beginning to migrate from research labs to software e ...
... As with previous workshops in the series, we chose to emphasize what we perceive as important new themes in agent research. This year’s themes were both associated with the fact that the technology of intelligent agents and multi-agent systems is beginning to migrate from research labs to software e ...
computerlanguage
... Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. For example, Otto Jesperson assumed that men were better thinkers than women. ...
... Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. For example, Otto Jesperson assumed that men were better thinkers than women. ...
Intellectual issues in the history of artificial intelligence
... clarity seldom improves with time and discussion. Thus, they are often an annoyance to scientists just because of their sloganeering character. Some time ago, in a conference commentary entitled "You can't play twenty questions with Nature and win", I myself complained of the tendency of cognitive p ...
... clarity seldom improves with time and discussion. Thus, they are often an annoyance to scientists just because of their sloganeering character. Some time ago, in a conference commentary entitled "You can't play twenty questions with Nature and win", I myself complained of the tendency of cognitive p ...
Chapter 11
... • Artificial intelligence (AI): ability of computers to mimic or duplicate functions of the human brain • Artificial intelligence systems: people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence Prin ...
... • Artificial intelligence (AI): ability of computers to mimic or duplicate functions of the human brain • Artificial intelligence systems: people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence Prin ...
essentials of expert system and its applications
... interrogate using remote terminals cannot distinguish its responses from those of humans which is tuning test. Thus resulting in general problem solving method. In 1960, AI is considered to be well research field, thus resulting into knowledge-based expert systems. Expert systems are mainly used t s ...
... interrogate using remote terminals cannot distinguish its responses from those of humans which is tuning test. Thus resulting in general problem solving method. In 1960, AI is considered to be well research field, thus resulting into knowledge-based expert systems. Expert systems are mainly used t s ...
2012 version HERE . - School of Computer Science
... Conjecture: Kids now learning to program in primary school, if inspired well, will grow up to understand the issues currently being debated better than their teachers, their parents, their educational administrators, or their politicians. ...
... Conjecture: Kids now learning to program in primary school, if inspired well, will grow up to understand the issues currently being debated better than their teachers, their parents, their educational administrators, or their politicians. ...
X - Natural Language Processing Lab., Korea University
... combine the representation of the query’s meaning with knowledge about the organization of the database. In a story understanding program, this extended structure would represent the meaning of the story and be used to ...
... combine the representation of the query’s meaning with knowledge about the organization of the database. In a story understanding program, this extended structure would represent the meaning of the story and be used to ...
A Client-Server Interactive Tool for Integrated
... information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. Natural language processing, uncertainty reasoning, computer vision, and speech processing ar ...
... information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. Natural language processing, uncertainty reasoning, computer vision, and speech processing ar ...
cpsc_20371_20biblio
... different parameters the simulations were run on (e.g. number of ants, edge length, etc.). ...
... different parameters the simulations were run on (e.g. number of ants, edge length, etc.). ...
A Foundational Architecture for Artificial General
... classify new data points (e.g. images) drawn from the same process. But simply finding a compact description of structure can be a separate problem from exploiting compact structure. In the Traveling Salesman Problem, for example, we are handed a conci ...
... classify new data points (e.g. images) drawn from the same process. But simply finding a compact description of structure can be a separate problem from exploiting compact structure. In the Traveling Salesman Problem, for example, we are handed a conci ...
Web Intelligence (WI) - Web Intelligence Consortium
... • Connectivity and diversity of Web documents. • A heterogeneous collection of structured, unstructured, semi-structured, inter-related, and distributed Web documents consisting of text, images and sounds. • Theories, methodologies and technologies of Web based information systems. • Many different ...
... • Connectivity and diversity of Web documents. • A heterogeneous collection of structured, unstructured, semi-structured, inter-related, and distributed Web documents consisting of text, images and sounds. • Theories, methodologies and technologies of Web based information systems. • Many different ...
Expertise, Task Complexity, and the Role of Intelligent Information
... greater systems expertise (moving left). (b) The feasibility of increasing the user’s subject expertise (i.e. to move a user upwards) and/or of increasing the user’s systems expertise (i.e. a move to the left). (c) The most cost-effective ways of increasing expertise in either direction. The answers ...
... greater systems expertise (moving left). (b) The feasibility of increasing the user’s subject expertise (i.e. to move a user upwards) and/or of increasing the user’s systems expertise (i.e. a move to the left). (c) The most cost-effective ways of increasing expertise in either direction. The answers ...
PDF
... leading LP commercial software, was shown to be very competitive or even outperforming interior point based methods on several benchmarks (Bixby 1999). The main extensions of LP are Integer Programming (IP) and Mixed Integer Programming (MIP). IP and MIP extend LP to deal with integrality constraint ...
... leading LP commercial software, was shown to be very competitive or even outperforming interior point based methods on several benchmarks (Bixby 1999). The main extensions of LP are Integer Programming (IP) and Mixed Integer Programming (MIP). IP and MIP extend LP to deal with integrality constraint ...
Medical Diagnosis with C4.5 Rule Preceded by Artificial
... learning techniques such as artificial neural networks are regarded as incomprehensible techniques because the learned knowledge is concealed in a lot of connections and is not transparent to the user. Although artificial neural networks have already been tried in several medical tasks [16], they ha ...
... learning techniques such as artificial neural networks are regarded as incomprehensible techniques because the learned knowledge is concealed in a lot of connections and is not transparent to the user. Although artificial neural networks have already been tried in several medical tasks [16], they ha ...
Business Intelligence: Optimization for Decision Making
... Amazon, Barclays, Facebook, Google, Lloyds, Microsoft, Sainsbury’s, TESCO, ... Data! The answer to my problem is hidden in my data... but I cannot dig it up! ...
... Amazon, Barclays, Facebook, Google, Lloyds, Microsoft, Sainsbury’s, TESCO, ... Data! The answer to my problem is hidden in my data... but I cannot dig it up! ...
A Comparative Analysis of Story Representations for
... supports each capability, we can arrive at a clear understanding of the strengths and weaknesses of the different representations. This understanding will not only aid in future system design decisions regarding choice of representation, but will provide insight into what current representations lac ...
... supports each capability, we can arrive at a clear understanding of the strengths and weaknesses of the different representations. This understanding will not only aid in future system design decisions regarding choice of representation, but will provide insight into what current representations lac ...
BNAIC05.pdf
... The classical entailment in logics is explosive: any formula is a logical consequence of a contradiction. Therefore, conclusions drawn from an inconsistent knowledge base by classical inference may be completely meaningless. The general task of an inconsistency reasoner is: given an inconsistent ont ...
... The classical entailment in logics is explosive: any formula is a logical consequence of a contradiction. Therefore, conclusions drawn from an inconsistent knowledge base by classical inference may be completely meaningless. The general task of an inconsistency reasoner is: given an inconsistent ont ...
Essential Thinking. Introduction to Problem Solving
... should we search for the first solution or all of them? can the solutions be compared/evaluated? should we search for satisfactory or optimal solution? is the optimal solution unique? does an optimal solution exists? Pareto optimal solutions? ...
... should we search for the first solution or all of them? can the solutions be compared/evaluated? should we search for satisfactory or optimal solution? is the optimal solution unique? does an optimal solution exists? Pareto optimal solutions? ...
artificial intelligence (AI)
... 1.5 The Role of Artificial Intelligence in Logic The importance of applications in logical AI, and the scale of these applications, represents a new methodology for logic—one that would have been impossible without mechanized reasoning. This methodology forces theoreticians to think through problems ...
... 1.5 The Role of Artificial Intelligence in Logic The importance of applications in logical AI, and the scale of these applications, represents a new methodology for logic—one that would have been impossible without mechanized reasoning. This methodology forces theoreticians to think through problems ...
Metropolis 1927 - David Gardiner
... vortex whereby patterns in a brain mirror the brain’s mirroring of the world, and eventually mirror themselves, whereupon the vortex of “I” becomes a real, causal entity.’ Beyond the Human Era: Speculations on the Evolution of Mind ...
... vortex whereby patterns in a brain mirror the brain’s mirroring of the world, and eventually mirror themselves, whereupon the vortex of “I” becomes a real, causal entity.’ Beyond the Human Era: Speculations on the Evolution of Mind ...
Artificial Intelligence, Second Edition
... Here effectively computable means following well-defined operations; “computers” in Turing’s day were people who followed well-defined steps and computers as we know them today did not exist. This thesis says that all computation can be carried out on a Turing machine or one of the other equivalent ...
... Here effectively computable means following well-defined operations; “computers” in Turing’s day were people who followed well-defined steps and computers as we know them today did not exist. This thesis says that all computation can be carried out on a Turing machine or one of the other equivalent ...