Formalisms for Multi-Agent Systems
... that its role is not clear. Formal agent theories are agent specifications, not only in the sense of providing descriptions and constraints on agent behaviour, but also in the sense that one understands the term ‘specification’ from mainstream software engineering, namely that they provide a base fr ...
... that its role is not clear. Formal agent theories are agent specifications, not only in the sense of providing descriptions and constraints on agent behaviour, but also in the sense that one understands the term ‘specification’ from mainstream software engineering, namely that they provide a base fr ...
Fuzzy Logic and its Applications in Medicine
... diagnosing, DoctorMoon sometimes returned too strong affirmative or exclusive conclusion as compared to the expected conclusion given by doctors. The reason was the knowledge base was not large enough to cover most possible cases and some rules had to be corrected. ...
... diagnosing, DoctorMoon sometimes returned too strong affirmative or exclusive conclusion as compared to the expected conclusion given by doctors. The reason was the knowledge base was not large enough to cover most possible cases and some rules had to be corrected. ...
The Project ENTs: Towards Modeling Human
... (they can not simply stop acting when a sub-task fail). Various approaches to control h-agents have been used so far; such as BDI-architecture [15] or subsumption architecture [5], hierarchical or any-time planning [8, 21], hierarchical rule-based system [16], finite state machines [26] or even neur ...
... (they can not simply stop acting when a sub-task fail). Various approaches to control h-agents have been used so far; such as BDI-architecture [15] or subsumption architecture [5], hierarchical or any-time planning [8, 21], hierarchical rule-based system [16], finite state machines [26] or even neur ...
Fuzzy Expert Control Systems: Knowledge Base Validation
... made, a lot of qualitative information is involved. The kind of data used to make these decisions is mainly expressed by some approximated knowledge obtained from the elaboration of raw data, at the lower levels, or by direct introduction of heuristic knowledge. This, itself, can be generated by oth ...
... made, a lot of qualitative information is involved. The kind of data used to make these decisions is mainly expressed by some approximated knowledge obtained from the elaboration of raw data, at the lower levels, or by direct introduction of heuristic knowledge. This, itself, can be generated by oth ...
View PDF - CiteSeerX
... To automate COSMOSS job template design we need a planner that could have different outputs depending on the action that is required to complete the service. Most classical planners use the assumption that there is no uncertainty in the world: every action has a predictable output. A contingent plan ...
... To automate COSMOSS job template design we need a planner that could have different outputs depending on the action that is required to complete the service. Most classical planners use the assumption that there is no uncertainty in the world: every action has a predictable output. A contingent plan ...
Autonomy: A Nice Idea in Theory
... We must also question the need for autonomy. Certainly, there is value in the flexibility and robustness that autonomy can bring in a dynamic and open world, but many problems which merit an agent approach do not necessarily require autonomous behaviour. Indeed, the strong view of autonomy can be ve ...
... We must also question the need for autonomy. Certainly, there is value in the flexibility and robustness that autonomy can bring in a dynamic and open world, but many problems which merit an agent approach do not necessarily require autonomous behaviour. Indeed, the strong view of autonomy can be ve ...
Computational Intelligence Course in Undergraduate Computer
... proceedings and journals. A majority of their graduate students who took this course ended up with a thesis topic involving one or more paradigms of CI. Overall, their CI course has been very successful and rewarding. American University – Washington DC At the American University, they have develope ...
... proceedings and journals. A majority of their graduate students who took this course ended up with a thesis topic involving one or more paradigms of CI. Overall, their CI course has been very successful and rewarding. American University – Washington DC At the American University, they have develope ...
CV - Department of Artificial Intelligence
... describing models of interactions, combining a process calculus specification language with an execution model drawn from logic programming. Many others have helped to develop and enhance this concept via large EU (OpenKnowledge and Smart Society) and UK national (SociaM) projects. • The research ab ...
... describing models of interactions, combining a process calculus specification language with an execution model drawn from logic programming. Many others have helped to develop and enhance this concept via large EU (OpenKnowledge and Smart Society) and UK national (SociaM) projects. • The research ab ...
AI and NLP â a fundamental approach
... Being baseless, AI got stuck at a simulation of behavior (not necessarily intelligent behavior), and knowledge technology got stuck at linking of keywords. More over, even after 60 years, hardly anything fundamental is defined yet in this field (and scientists don't seem to care). So, I have to conc ...
... Being baseless, AI got stuck at a simulation of behavior (not necessarily intelligent behavior), and knowledge technology got stuck at linking of keywords. More over, even after 60 years, hardly anything fundamental is defined yet in this field (and scientists don't seem to care). So, I have to conc ...
Satisficing and bounded optimality A position paper
... quality of behavior that is expected when these properties are achieved. One of the first approaches to satisficing has been heuristic search. In fact, Simonhas initially identified heuristic search with satisficing. It is important to distinguish in this context between two different ways in which ...
... quality of behavior that is expected when these properties are achieved. One of the first approaches to satisficing has been heuristic search. In fact, Simonhas initially identified heuristic search with satisficing. It is important to distinguish in this context between two different ways in which ...
papers - CiteSeerX
... the range of problems that can be tackled by automated fusion systems. However, for problems of the scale required for maritime predictive analysis, exact evidential reasoning is generally intractable. Traditional fusion systems cope with complexity by decomposing the problem into hypothesis managem ...
... the range of problems that can be tackled by automated fusion systems. However, for problems of the scale required for maritime predictive analysis, exact evidential reasoning is generally intractable. Traditional fusion systems cope with complexity by decomposing the problem into hypothesis managem ...
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Faculty of Arts Atkinson College
... Chapter Preview In this chapter, we will study: What is meant by artificial intelligence How expert systems are developed and how they perform How AI has been applied to other arenas, such as natural language processing and neural computing The concept and usefulness of intelligent agents ...
... Chapter Preview In this chapter, we will study: What is meant by artificial intelligence How expert systems are developed and how they perform How AI has been applied to other arenas, such as natural language processing and neural computing The concept and usefulness of intelligent agents ...
TEFATE: Finite-state technologies applied to specialized translation
... Many of the basic techniques developed during this project, especially those related to finitestate transducers, have been transferred to Apertium, an open-source shallow-transfer machine translation engine scheduled to be released at the end of July 2005 and developed as part of another project. Ap ...
... Many of the basic techniques developed during this project, especially those related to finitestate transducers, have been transferred to Apertium, an open-source shallow-transfer machine translation engine scheduled to be released at the end of July 2005 and developed as part of another project. Ap ...
OpenCog: A Software Framework for Integrative Artificial General
... 2. The Challenges of Integrative AGI Precisely how the human brain works is unknown to scientists and laymen alike, but all of the available evidence suggests that the brain is a highly complex and integrative system [1]. Different parts of the brain carry out various functions, and no one part is ...
... 2. The Challenges of Integrative AGI Precisely how the human brain works is unknown to scientists and laymen alike, but all of the available evidence suggests that the brain is a highly complex and integrative system [1]. Different parts of the brain carry out various functions, and no one part is ...
Processing and Interaction in Robotics
... various facets of the phenomenon of perception of phenomena. The perception is oriented, accordingly with the needs of man, in various phenomenological directions. Sometimes, perception is oriented toward nature, both external and internal to man, sometimes perception is oriented toward artifacts wh ...
... various facets of the phenomenon of perception of phenomena. The perception is oriented, accordingly with the needs of man, in various phenomenological directions. Sometimes, perception is oriented toward nature, both external and internal to man, sometimes perception is oriented toward artifacts wh ...
Irrigation Expert System for Trees
... efficiency. Expert systems technology can be used to transfer knowledge from irrigation experts to both agricultural engineers/officers and farmers which lead to enhance water usage in Egypt. Expert system also known as knowledge based system which is a branch of artificial intelligence and was deve ...
... efficiency. Expert systems technology can be used to transfer knowledge from irrigation experts to both agricultural engineers/officers and farmers which lead to enhance water usage in Egypt. Expert system also known as knowledge based system which is a branch of artificial intelligence and was deve ...
Chap 11: Artificial Intelligence II: Operational Perspective
... Evaluation of Fuzzy Logic • Haack argues that there are very few true candidates for which Fuzzy Logic is useful. Most problems can be solved using principles drawn from probability. The computer programs are much too complicated and thus Fuzzy Logic serves no useful purpose. • Fox has rebutted thi ...
... Evaluation of Fuzzy Logic • Haack argues that there are very few true candidates for which Fuzzy Logic is useful. Most problems can be solved using principles drawn from probability. The computer programs are much too complicated and thus Fuzzy Logic serves no useful purpose. • Fox has rebutted thi ...
Read Full Article - Educatia 21 Journal
... imply a reconceptualization of the meaning of AI and we take into account the future trends in the development of AI regarding the creation of conscious machines. Starting from the current definitions of AI (see Oxford and Cambridge dictionary) and the perspective of Bostrom (2003, 2016) regarding t ...
... imply a reconceptualization of the meaning of AI and we take into account the future trends in the development of AI regarding the creation of conscious machines. Starting from the current definitions of AI (see Oxford and Cambridge dictionary) and the perspective of Bostrom (2003, 2016) regarding t ...
(PPT, 221KB)
... Expert systems restricted themselves to a small domain of specific knowledge (thus avoiding the commonsense knowledge problem) and their simple design made it relatively easy for programs to be built and then modified once they were in place. All in all, the programs proved to be useful: something t ...
... Expert systems restricted themselves to a small domain of specific knowledge (thus avoiding the commonsense knowledge problem) and their simple design made it relatively easy for programs to be built and then modified once they were in place. All in all, the programs proved to be useful: something t ...
Conceptual Blending and the Quest for the Holy Creative Process
... can be considered a creation (a perception, a concept, an idea) that wasn’t there before and has some reason to exist, i.e., it fulfils the demands of novelty and usefulness. To escape from this extreme, we must point out that the creative tag is normally applied to situations that escape the usual, ...
... can be considered a creation (a perception, a concept, an idea) that wasn’t there before and has some reason to exist, i.e., it fulfils the demands of novelty and usefulness. To escape from this extreme, we must point out that the creative tag is normally applied to situations that escape the usual, ...
Chapter 10 Decision Support Systems
... Expertise: a body of knowledge, techniques, and intuition is needed that only a few people possess Complexity: solving the problem is a complex task that requires logical inference processing Structure: the solution process must be able to cope with ill-structured, uncertain, missing, and conf ...
... Expertise: a body of knowledge, techniques, and intuition is needed that only a few people possess Complexity: solving the problem is a complex task that requires logical inference processing Structure: the solution process must be able to cope with ill-structured, uncertain, missing, and conf ...
What is Artificial Intelligence? Psychometric AI as an Answer
... clearer than ‘intelligence.’ However, Turing came up with the test that now bears his name precisely because he found the concept of thinking hopelessly vague. As Russell and Norvig point out, TT and other more stringent tests, e.g., Stevan Harnad’s 1991 Total Turing Test (in which a passing robot m ...
... clearer than ‘intelligence.’ However, Turing came up with the test that now bears his name precisely because he found the concept of thinking hopelessly vague. As Russell and Norvig point out, TT and other more stringent tests, e.g., Stevan Harnad’s 1991 Total Turing Test (in which a passing robot m ...