Goal Recognition with Markov Logic Networks for Player
... data can be analyzed to inform subsequent game designs. Work on goal recognition has traditionally focused on sequences of user actions that are derived from welldefined goals and plans (Blaylock and Allen 2003; Carberry 2001; Charniak and Goldman 1993; Geib and Goldman 2009; Hu and Yang 2008; Kautz ...
... data can be analyzed to inform subsequent game designs. Work on goal recognition has traditionally focused on sequences of user actions that are derived from welldefined goals and plans (Blaylock and Allen 2003; Carberry 2001; Charniak and Goldman 1993; Geib and Goldman 2009; Hu and Yang 2008; Kautz ...
Artificial Intelligence
... AI will force a dualistic view of life to change because the environment will be inseparable from it. Axiological shifts will occur in defining life, causing society to expand current definitions of life (e.g. requirement of a body). Also, the connectedness of the local environment to AI will force ...
... AI will force a dualistic view of life to change because the environment will be inseparable from it. Axiological shifts will occur in defining life, causing society to expand current definitions of life (e.g. requirement of a body). Also, the connectedness of the local environment to AI will force ...
Bounded Rationality - Revista Internacional de Sociología
... bounded rationality suggests that economic agents employ heuristics to make decisions rather than a strict rigid rule of optimization in light of the complexity of the situation, or the inability to process and compute all the possible alternatives due to deliberation costs and the presence of other ...
... bounded rationality suggests that economic agents employ heuristics to make decisions rather than a strict rigid rule of optimization in light of the complexity of the situation, or the inability to process and compute all the possible alternatives due to deliberation costs and the presence of other ...
What is Artificial Intelligence?
... Model the cognitive functions and behaviours of humans – Human beings are our best example of intelligence – We should use that example! – But … how do we measure thought? • We would have to spend most of our effort on studying how people’s minds operate (e.g. IQ tests cover very narrow range of ...
... Model the cognitive functions and behaviours of humans – Human beings are our best example of intelligence – We should use that example! – But … how do we measure thought? • We would have to spend most of our effort on studying how people’s minds operate (e.g. IQ tests cover very narrow range of ...
Automated Action Abstraction of Imperfect Information Extensive
... apply resampling to modify the actor’s policy. They show results where their algorithm performs better than static solutions such as continuous Q-learning. Hasselt et al. (2007) also designed an actor critic algorithm for continuous action spaces, where they only use the sign of the TD-error to det ...
... apply resampling to modify the actor’s policy. They show results where their algorithm performs better than static solutions such as continuous Q-learning. Hasselt et al. (2007) also designed an actor critic algorithm for continuous action spaces, where they only use the sign of the TD-error to det ...
Intelligent Autonomous Agents
... • Surplus: social welfare of outcome – social welfare of status quo w Constant sum games have 0 surplus. w Markets are not constant sum • Pareto efficiency: An outcome o is Pareto efficient if there exists no other outcome o’ s.t. some agent has higher utility in o’ than in o and no agent ...
... • Surplus: social welfare of outcome – social welfare of status quo w Constant sum games have 0 surplus. w Markets are not constant sum • Pareto efficiency: An outcome o is Pareto efficient if there exists no other outcome o’ s.t. some agent has higher utility in o’ than in o and no agent ...
Artificial Intelligence
... Programs to do reasoning and to solve problems, diagnosis Modelling an expert: Doctor (diagnose illness), Geologist (discover minerals) We need domain-specific knowledge from a domain expert obtained from an AI specialist ...
... Programs to do reasoning and to solve problems, diagnosis Modelling an expert: Doctor (diagnose illness), Geologist (discover minerals) We need domain-specific knowledge from a domain expert obtained from an AI specialist ...
Risks of general artificial intelligence
... itself. Yampolskiy (2014) investigates which utility functions we might want to implement in artificial agents and particularly how we might prevent them from finding simple but counterproductive self-satisfaction solutions. B. Goertzel (2014a) explains how his ‘GoalOriented Learning Meta-Architectu ...
... itself. Yampolskiy (2014) investigates which utility functions we might want to implement in artificial agents and particularly how we might prevent them from finding simple but counterproductive self-satisfaction solutions. B. Goertzel (2014a) explains how his ‘GoalOriented Learning Meta-Architectu ...
Dougherty, Mark: What Has Literature to Offer Computer Science?
... In computer science, semantics are dealt with formally using mathematics, but no such mathematical tools exist for dealing with higher semantic concepts. In fact even the syntax of higher-level concepts has yet to be pinned down; only relatively restricted higher-order logics have been formalised. T ...
... In computer science, semantics are dealt with formally using mathematics, but no such mathematical tools exist for dealing with higher semantic concepts. In fact even the syntax of higher-level concepts has yet to be pinned down; only relatively restricted higher-order logics have been formalised. T ...
XXXXXXXXXXXXXXXXXXXXXXXXX University of Haifa. Thursday
... software to study or accomplish specific problem solving or reasoning tasks that do not encompass (or in some cases are completely outside of) the full range of human cognitive abilities. (*) NOTE: Alan Budny pointed out that this definition is historically not correct,. Still it is good enough for ...
... software to study or accomplish specific problem solving or reasoning tasks that do not encompass (or in some cases are completely outside of) the full range of human cognitive abilities. (*) NOTE: Alan Budny pointed out that this definition is historically not correct,. Still it is good enough for ...
PPTX - CS 4730
... • AI: Artificial Intelligence – does not have to mean perfect human-like intelligence! • Turing Test: Can a normal user tell the difference between interacting with a computer and a person • NPC: Non-Player Character – any thing in the world that needs to be modeled, can make decisions, and can pote ...
... • AI: Artificial Intelligence – does not have to mean perfect human-like intelligence! • Turing Test: Can a normal user tell the difference between interacting with a computer and a person • NPC: Non-Player Character – any thing in the world that needs to be modeled, can make decisions, and can pote ...
The Future With Artificial General Intelligence
... Researchers at University of Oxford have developed lip reading system called LipNet which outperforms human lip readers with an error rate of mere 6.6% at it’s earliest stages, I could only imagine so far of its capabilities once it achieves AGI. I can’t be more excited to hear what my great grandma ...
... Researchers at University of Oxford have developed lip reading system called LipNet which outperforms human lip readers with an error rate of mere 6.6% at it’s earliest stages, I could only imagine so far of its capabilities once it achieves AGI. I can’t be more excited to hear what my great grandma ...