Towards Conscious-like Behavior in Computer Game Characters
... associated Artificial Intelligence (AI) techniques, are based on partial aspects of the real complex systems involved in the generation of human-like behavior. Emotions, planning, learning, user modeling, set shifting, and attention mechanisms are some remarkable examples of features typically consi ...
... associated Artificial Intelligence (AI) techniques, are based on partial aspects of the real complex systems involved in the generation of human-like behavior. Emotions, planning, learning, user modeling, set shifting, and attention mechanisms are some remarkable examples of features typically consi ...
Ontology construction for information classification
... found in the World Wide Web (WWW). The sharing and reusing of ontology enable users to communicate with computers by using accurate syntax and semantics. The powerful capabilities of the Semantic Web and its full development depend on the proper knowledge and handling of the agents. Aside from being ...
... found in the World Wide Web (WWW). The sharing and reusing of ontology enable users to communicate with computers by using accurate syntax and semantics. The powerful capabilities of the Semantic Web and its full development depend on the proper knowledge and handling of the agents. Aside from being ...
Cognitive Systems: Argument and Cognition
... cognitive assistants that help their human users take decisions in everyday tasks: which restaurant to visit for some occasion, when to schedule a meeting, or how to handle an information overload on a social network. Despite appearing relatively simple when compared with the complex optimization pr ...
... cognitive assistants that help their human users take decisions in everyday tasks: which restaurant to visit for some occasion, when to schedule a meeting, or how to handle an information overload on a social network. Despite appearing relatively simple when compared with the complex optimization pr ...
What are Expert Systems?
... • Programmer does not specify how to achieve a goal at the algorithm level. • Induction-based programming – the program learns by generalizing from a sample. ...
... • Programmer does not specify how to achieve a goal at the algorithm level. • Induction-based programming – the program learns by generalizing from a sample. ...
Artificial Intelligence
... with different knowledge. It also requires a culture in which Sunny may in fact approach Honey for directions, Honey may in fact stop to help Sunny, and the two can communicate in a shared language, Sunny may trust Honey, a total stranger, enough to follow its directions in a new city, etc. AI resea ...
... with different knowledge. It also requires a culture in which Sunny may in fact approach Honey for directions, Honey may in fact stop to help Sunny, and the two can communicate in a shared language, Sunny may trust Honey, a total stranger, enough to follow its directions in a new city, etc. AI resea ...
H - Space Science and Engineering Center
... Biggest Risks Will be Social and Political AI will be a tool of economic and military competition Elite humans who control AI servers for widely used electronic companions will be able to manipulate society Narrow, normal distribution of natural human intelligence will be replaced by power law dist ...
... Biggest Risks Will be Social and Political AI will be a tool of economic and military competition Elite humans who control AI servers for widely used electronic companions will be able to manipulate society Narrow, normal distribution of natural human intelligence will be replaced by power law dist ...
An Introduction of Soft Computing Approach over Hard Computing
... Soft computing is a wide ranging term encompassing such varied techniques as fuzzy systems, neural networks, genetic algorithms, simulated annealing etc. In this paper we are using only Fuzzy Logic (FL) and Genetic Algorithm (GA) Techniques. FL and GAs have been successfully used for supply chain mo ...
... Soft computing is a wide ranging term encompassing such varied techniques as fuzzy systems, neural networks, genetic algorithms, simulated annealing etc. In this paper we are using only Fuzzy Logic (FL) and Genetic Algorithm (GA) Techniques. FL and GAs have been successfully used for supply chain mo ...
Encyclopedia of Artificial Intelligence
... subfield of robotics in which ideas from artificial intelligence, developmental psychology, neuroscience, and dynamical systems theory play a pivotal role in motivating the research (Asada et al., 2001; Lungarella et al., 2003; Weng et al., 2001; Zlatev & Balkenius, 2001). Developmental robotics aim ...
... subfield of robotics in which ideas from artificial intelligence, developmental psychology, neuroscience, and dynamical systems theory play a pivotal role in motivating the research (Asada et al., 2001; Lungarella et al., 2003; Weng et al., 2001; Zlatev & Balkenius, 2001). Developmental robotics aim ...
Artificial Intelligence and Distributed Computing
... numerical methods for the interpolation of functions; (3) to describe numerical differentiation and integration; (4) to present numerical methods for solving differential equations. Content: C1. Systems of Linear Equations I. Gaussian Elimination and Pivoting. LU Factorization. C2. Systems of Linear ...
... numerical methods for the interpolation of functions; (3) to describe numerical differentiation and integration; (4) to present numerical methods for solving differential equations. Content: C1. Systems of Linear Equations I. Gaussian Elimination and Pivoting. LU Factorization. C2. Systems of Linear ...
Intentionality and artificial intelligence
... Many mental states are ‘about’ something, objects or events in the world. For example, I might have a belief about Paris, a desire for chocolate, be angry at the government, or intend to go to the pub. In all these cases, my state of mind is ‘directed’ towards an ‘object’, the thing I’m thinking abo ...
... Many mental states are ‘about’ something, objects or events in the world. For example, I might have a belief about Paris, a desire for chocolate, be angry at the government, or intend to go to the pub. In all these cases, my state of mind is ‘directed’ towards an ‘object’, the thing I’m thinking abo ...
Process Complexity: Towards a Theory of Intent-oriented
... a human agent, however, rules of time and space as known in the physical world can be ontological or even nonexistent. Any process then demands the prerequisites of “intention” and relational “order.” In the absence of intention, to pursue a specific action through relational “order” does not qualif ...
... a human agent, however, rules of time and space as known in the physical world can be ontological or even nonexistent. Any process then demands the prerequisites of “intention” and relational “order.” In the absence of intention, to pursue a specific action through relational “order” does not qualif ...
Computational Discovery of Communicable Knowledge
... Newell’s vision for research on theories of intelligence was that: cognitive systems should make strong theoretical assumptions about the nature of the mind; ...
... Newell’s vision for research on theories of intelligence was that: cognitive systems should make strong theoretical assumptions about the nature of the mind; ...
CSC 506: Software Engineering and Knowledge Engineering
... General problem in Computer Science Solutions = Data Structures o words, arrays o records o lists, queues o objects More specific problem in AI Solutions = knowledge structures o decision trees o logic and predicate calculus o rules: production systems o description logics, semantic nets, f ...
... General problem in Computer Science Solutions = Data Structures o words, arrays o records o lists, queues o objects More specific problem in AI Solutions = knowledge structures o decision trees o logic and predicate calculus o rules: production systems o description logics, semantic nets, f ...
Formal Definition of a
... The extended Case Factory approach extends the SEASALT architecture with a maintenance mechanism for CBR systems. If a topic agent has access to a CBR system, a CF is provided to maintain the CBR system. To coordinate several CFs a so-called Case Factory Organization (CFO) is provided, which consist ...
... The extended Case Factory approach extends the SEASALT architecture with a maintenance mechanism for CBR systems. If a topic agent has access to a CBR system, a CF is provided to maintain the CBR system. To coordinate several CFs a so-called Case Factory Organization (CFO) is provided, which consist ...
060010706- Artificial Intelligence 2014
... Explain any two points of difference between forward reasoning and backward reasoning inference mechanism. Under which circumstances should Inst and Part_be used? Explain with the help of an Extended Semantic Network. Describe in detail the steps to implement Frame knowledge. “Frames are regarded as ...
... Explain any two points of difference between forward reasoning and backward reasoning inference mechanism. Under which circumstances should Inst and Part_be used? Explain with the help of an Extended Semantic Network. Describe in detail the steps to implement Frame knowledge. “Frames are regarded as ...
an intelligent decision support using genetic fuzzy integration for
... modeling and simulation, and software engineering. In particular, the research and development of techniques that enable the construction and performance of selected cognitive decision-making functions form a key to the successful application of decision support systems [1]. In today’s technological ...
... modeling and simulation, and software engineering. In particular, the research and development of techniques that enable the construction and performance of selected cognitive decision-making functions form a key to the successful application of decision support systems [1]. In today’s technological ...
Design of Collaborative Information Agents
... A verification process, after a system has been designed can demonstrate that the designed system actually will show the required behaviour. In verification formalised behavioural requirements and a formalised conceptual design play a main role. Also for verification proofs reusable patterns can be ...
... A verification process, after a system has been designed can demonstrate that the designed system actually will show the required behaviour. In verification formalised behavioural requirements and a formalised conceptual design play a main role. Also for verification proofs reusable patterns can be ...
The Judge and the Computer: How Best `Decision Support`?
... of decision support system owes its existence to that of ‘expert system’. It is not clear from the literature, though, just how or why the idea of expert system was transformed into the idea of ‘decision support system’. This transformation is a limiting of the idea of expert system. But what aspect ...
... of decision support system owes its existence to that of ‘expert system’. It is not clear from the literature, though, just how or why the idea of expert system was transformed into the idea of ‘decision support system’. This transformation is a limiting of the idea of expert system. But what aspect ...
A Case Based Reasoning Approach for Development of Intelligent
... problem to be solved, Pold is a well-known problem, Snew indicates the required solution, and Sold is the solution of Pold (known as well). A key assumption by the CBR is that if the presentations of two problems are similar, then solutions to these problems are often similar as well. In this way we ...
... problem to be solved, Pold is a well-known problem, Snew indicates the required solution, and Sold is the solution of Pold (known as well). A key assumption by the CBR is that if the presentations of two problems are similar, then solutions to these problems are often similar as well. In this way we ...
2. Case-Based Reasoning
... [email protected] www.somewhere.ac.uk Abstract This paper shows how a paper should look in Springer’s formatting style. Hence if you reuse this you’ll be using case-based reasoning to solve your formatting problems. Case-based reasoning is a methodology for problem solving, that may use any ...
... [email protected] www.somewhere.ac.uk Abstract This paper shows how a paper should look in Springer’s formatting style. Hence if you reuse this you’ll be using case-based reasoning to solve your formatting problems. Case-based reasoning is a methodology for problem solving, that may use any ...
Computational Discovery of Communicable Knowledge
... Let S be the skill instances whose heads unify with G. If any applicable skill paths start from an instance in S, Then select one of these paths and execute it. Else let M be the set of primitive skill instances that have not already failed in which G is an effect. If the set M is nonempty, Then sel ...
... Let S be the skill instances whose heads unify with G. If any applicable skill paths start from an instance in S, Then select one of these paths and execute it. Else let M be the set of primitive skill instances that have not already failed in which G is an effect. If the set M is nonempty, Then sel ...
OBDD-Based Planning with Real-Valued Variables in Non-Deterministic Environments
... We are developing a planner that can efficiently handle non-determinism and real variables using neither relative values nor explicit enumeration. In doing so, we are leveraging tools and representations from (i) planning and (ii) logic synthesis for computer-aided verification. We propose the use o ...
... We are developing a planner that can efficiently handle non-determinism and real variables using neither relative values nor explicit enumeration. In doing so, we are leveraging tools and representations from (i) planning and (ii) logic synthesis for computer-aided verification. We propose the use o ...