Computing Contingent Plans via Fully Observable
... the problem in a STRIPS-like language, where actions can additionally have conditional effects. Formally, a PPOS domain is a tuple P = hF, A, O, I, Gi, where F is the set of fluent atoms, A is the set of actions, O is the set of observations, I is a set of clauses over F that determines the initial ...
... the problem in a STRIPS-like language, where actions can additionally have conditional effects. Formally, a PPOS domain is a tuple P = hF, A, O, I, Gi, where F is the set of fluent atoms, A is the set of actions, O is the set of observations, I is a set of clauses over F that determines the initial ...
The Limits of OCR
... Udi Manber asked Prof. Manuel Blum’s group at CMU: – programs impersonate people in chat rooms, then hand out ads – ugh! – how can all machines be denied access to a Web site without inconveniencing any human users? I.e., how to distinguish between machines and people on-line … a kind of ‘Turing tes ...
... Udi Manber asked Prof. Manuel Blum’s group at CMU: – programs impersonate people in chat rooms, then hand out ads – ugh! – how can all machines be denied access to a Web site without inconveniencing any human users? I.e., how to distinguish between machines and people on-line … a kind of ‘Turing tes ...
3 Experiments
... to the institutionally prescribed pattern and norms of promotion and demotion we will explore. Agents in an institution must follow the values and norms of their institution. On the other hand, agents influence one another, which may affect their performance and in turn this can have a global effect ...
... to the institutionally prescribed pattern and norms of promotion and demotion we will explore. Agents in an institution must follow the values and norms of their institution. On the other hand, agents influence one another, which may affect their performance and in turn this can have a global effect ...
Case Representation Issues for Case
... While this illustrates the shortcomings of a solution based on a single global representation it is important to point out that approaches exist to address this within the CBR paradigm. The obvious solution is to have local weights that vary across the solution space and this approach has been expl ...
... While this illustrates the shortcomings of a solution based on a single global representation it is important to point out that approaches exist to address this within the CBR paradigm. The obvious solution is to have local weights that vary across the solution space and this approach has been expl ...
PDF file
... Does the brain contain computer symbols at all in its internal representations? Why is fully autonomous emergence necessary for intelligence, natural and artificial? I argue through this review that the brain does not seem to contain any computer symbol at all in its internal representations for the ...
... Does the brain contain computer symbols at all in its internal representations? Why is fully autonomous emergence necessary for intelligence, natural and artificial? I argue through this review that the brain does not seem to contain any computer symbol at all in its internal representations for the ...
Structured development of problem solving methods
... the sense that no comprehensive theory and practice of method development and use can ignore them. In this section, we will also provide an initial sketch of our proposed solutions to these problems, which will then be described in more detail in later sections. ...
... the sense that no comprehensive theory and practice of method development and use can ignore them. In this section, we will also provide an initial sketch of our proposed solutions to these problems, which will then be described in more detail in later sections. ...
Efficient Deep Feature Learning and Extraction via StochasticNets
... cameras, smartphones, and wearable devices. This difficult migration of deep neural networks into embedded applications for feature extraction stems largely from the fact that, unlike the highly powerful distributed computing systems and GPUs that are often leveraged for deep learning networks, the ...
... cameras, smartphones, and wearable devices. This difficult migration of deep neural networks into embedded applications for feature extraction stems largely from the fact that, unlike the highly powerful distributed computing systems and GPUs that are often leveraged for deep learning networks, the ...
Introducing Preferences in Planning as Satisfiability
... winning system in the deterministic track for optimal planners in the 4th International Planning Competition (IPC) and a cowinner in the 5th IPC. Given a planning problem Π and a makespan n, the approach based on satisfiability (a.k.a. SAT-based) simply works by (i) constructing a SAT formula Πn and ...
... winning system in the deterministic track for optimal planners in the 4th International Planning Competition (IPC) and a cowinner in the 5th IPC. Given a planning problem Π and a makespan n, the approach based on satisfiability (a.k.a. SAT-based) simply works by (i) constructing a SAT formula Πn and ...
types of anticipatory behaving agents in artificial life
... liquid through pipes. Please note here that this process is not consciously controlled. As another example showing different level of anticipation, to explain our postulate above about different levels, we can use something very common a tennis player. While playing the opponent, a player is trying ...
... liquid through pipes. Please note here that this process is not consciously controlled. As another example showing different level of anticipation, to explain our postulate above about different levels, we can use something very common a tennis player. While playing the opponent, a player is trying ...
Engineering Efficient Planners with SAT
... scheduling [4], haplotype inference [12], and diagnosis [23]. Planning as Satisfiability, which enjoyed a lot of attention in the late 1990s after the early works by Kautz and Selman [8, 9], remained less popular for more than ten years. This is somewhat surprising, considering the great successes o ...
... scheduling [4], haplotype inference [12], and diagnosis [23]. Planning as Satisfiability, which enjoyed a lot of attention in the late 1990s after the early works by Kautz and Selman [8, 9], remained less popular for more than ten years. This is somewhat surprising, considering the great successes o ...
Searching Social Networks
... crucial. Referrals enable agents to share information so that untrustworthy parties can be weeded out. We previously developed a probabilistic model of reputation in which an agent combines evidence from a number of witnesses regarding a particular party [Yu and Singh, 2002]. Referrals can be used t ...
... crucial. Referrals enable agents to share information so that untrustworthy parties can be weeded out. We previously developed a probabilistic model of reputation in which an agent combines evidence from a number of witnesses regarding a particular party [Yu and Singh, 2002]. Referrals can be used t ...
Decision support systems - Southeast Missouri State University
... information systems should exist only to support decisions, and that the focus of the information systems development efforts should be shifted away from structured operational control to unstructured critical decisions in organizations. Decisions are irreversible and have far-reaching consequences ...
... information systems should exist only to support decisions, and that the focus of the information systems development efforts should be shifted away from structured operational control to unstructured critical decisions in organizations. Decisions are irreversible and have far-reaching consequences ...
Sample chapter - Computer Science and Software Engineering
... varying semantics. It has even been shown that these classifications can vary across languages and cultures [29, 30]. Thus, there is no definite answer to the question which object is a landmark and which is not. Landmarks are countable but are not finite. There are other reasons adding evidence to ...
... varying semantics. It has even been shown that these classifications can vary across languages and cultures [29, 30]. Thus, there is no definite answer to the question which object is a landmark and which is not. Landmarks are countable but are not finite. There are other reasons adding evidence to ...
JudgeD: A Probabilistic Datalog with Dependencies
... Monte Carlo approximation for a query q boils down to repeated weighted sampling of a traditional datalog program Pi from all implicitly specified datalog programs WJ in the JudgeD program J, and evaluating q for each sampled Pi . Sample weights are calculated by simple multiplication of the probabi ...
... Monte Carlo approximation for a query q boils down to repeated weighted sampling of a traditional datalog program Pi from all implicitly specified datalog programs WJ in the JudgeD program J, and evaluating q for each sampled Pi . Sample weights are calculated by simple multiplication of the probabi ...
Co-ordination in software agent systems
... achieve co-ordination, agents may have to communicate with one another. However, as Huhns and Singh [7] point out, agents may achieve co-ordination without communication, provided they possess models of each others’ behaviours. In such a situation, co-ordination can be achieved mainly via organisati ...
... achieve co-ordination, agents may have to communicate with one another. However, as Huhns and Singh [7] point out, agents may achieve co-ordination without communication, provided they possess models of each others’ behaviours. In such a situation, co-ordination can be achieved mainly via organisati ...
Pareto-Based Multiobjective Machine Learning: An
... the great success of multiobjective optimization using evolutionary algorithms and other population-based stochastic search methods. It has been shown that Pareto-based multiobjective learning approaches are more powerful compared to learning algorithms with a scalar cost function in addressing vari ...
... the great success of multiobjective optimization using evolutionary algorithms and other population-based stochastic search methods. It has been shown that Pareto-based multiobjective learning approaches are more powerful compared to learning algorithms with a scalar cost function in addressing vari ...
The F -O System: A Heuristic Search Case-Based Planning AR
... TR is a suitable logic to describe actions and plans for planning systems (Tonidandel and Rillo 1998) (Tonidandel and Rillo 2000) (Santos and Rillo 1997). As TR is suitable for planning, it is suitable for CBP system components as well, because the case memory is a collection of plans. It uses the f ...
... TR is a suitable logic to describe actions and plans for planning systems (Tonidandel and Rillo 1998) (Tonidandel and Rillo 2000) (Santos and Rillo 1997). As TR is suitable for planning, it is suitable for CBP system components as well, because the case memory is a collection of plans. It uses the f ...
Document
... UNIT – 1 INTRODUCTION 1. Define Artificial Intelligence (AI). The study of how to make computers do things at which at the moment, people are better. a. Systems that think like humans b. Systems that act like humans c. Systems that think rationally d. Systems that act rationally 2. What is meant by ...
... UNIT – 1 INTRODUCTION 1. Define Artificial Intelligence (AI). The study of how to make computers do things at which at the moment, people are better. a. Systems that think like humans b. Systems that act like humans c. Systems that think rationally d. Systems that act rationally 2. What is meant by ...
IT7005B-Artificial Intelligence UNIT WISE Important Questions
... 1. What is a local minima problem? 2. How does alpha-beta pruning technique works? 3. Define backtracking search. 4. Define constraint propagation 5. List the different types of constraints. 6. What is a constraint satisfaction problem? 7. Differentiate greedy search with A* search. 8. Write short n ...
... 1. What is a local minima problem? 2. How does alpha-beta pruning technique works? 3. Define backtracking search. 4. Define constraint propagation 5. List the different types of constraints. 6. What is a constraint satisfaction problem? 7. Differentiate greedy search with A* search. 8. Write short n ...
Investigating Biological Assumptions through Radical
... convincingly to biological truth [101, 11, 45]. To achieve such relevance, researchers often argue that the abstractions made by their models are principled, i.e. that the biological details filtered out through abstraction were non-essential. In other words, alife researchers often minimize and def ...
... convincingly to biological truth [101, 11, 45]. To achieve such relevance, researchers often argue that the abstractions made by their models are principled, i.e. that the biological details filtered out through abstraction were non-essential. In other words, alife researchers often minimize and def ...
Artificial Intelligence, Figurative Language and Cognitive Linguistics
... a Philosophical aim, but the question of whether there is any useful general sense of the word “cognition” going beyond the collection of known forms of biological cognition is itself a deep philosophical issue. On top of this multiplicity of aims, the word “intelligence” is usually taken very broad ...
... a Philosophical aim, but the question of whether there is any useful general sense of the word “cognition” going beyond the collection of known forms of biological cognition is itself a deep philosophical issue. On top of this multiplicity of aims, the word “intelligence” is usually taken very broad ...