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Candidatura PEx - Zugzwang

Filling Application Form

General Data

  • Title: Induction of Stochastic Answer Set Programs by Algebraic Means
  • Project Acronym: IAM
  • Keywords: (
  • Main Scientific Area (Sci Domain + Sci Area + Sci sub-area):
  • Timetable: (Start date + duration)

Institutions

  • Principal Contractor: (NIPC; Research Unit; description; competencies)
  • Collaborative Institutions: (All in the Portal de Ciência e Tecnologia?)

Research Team

  • Principal Investigator (name; role; ciencia Id; ciencia vitae in english)
  • PI narrative CV:
    • Contributions to the generation of new ideas, tools, methodologies, or knowledge
    • Contributions to the development of individuals and/or research teams
    • Contributions to the research community and the broader society
    • Selected outputs and/or activities
    • Why would this grant be timely for me, at this point in my career path and/or in my research?
  • Members: (email; institution)
  • Hirings: (type (contract or scholarship); institution associated with the hiring)
  • Consultants: (email; framework fo participation)
  • Team CV synopsis: (justify the framework and competencies of the research team and its coherence with the proposed work plan)
    • team scientific activity last 5 years
    • most relevant scientific achievements
    • demonstrate competence in the area

Work Plan

  • Abstract. summary in portugues and english; analysis state of the art; main goals; knowledge and skills in the group; strategy and methodologies; novelty; expected results.
  • State of the art and Objectives. overview of PI research field; state of the art in connection with ground-breaking nature and potential impact; references to PI previous work:
    • To what extent does the proposed research address important challenges?
    • To what extent are the objectives ambitious and beyond the state of the art (e.g. novel concepts and approaches or development between or across disciplines)?
  • Research plan and methods.
    • To what extent is the outlined scientific approach feasible bearing in mind the originality and/or ground-breaking potential of the proposed research?
    • To what extent are the proposed research methodology and working arrangements appropriate to achieve the goals of the project?
    • To what extent are the proposed timelines, resources, and PI´s commitment adequate and properly justified?
  • Bibliographic references. (references cited in the state of art and in the research plan and methods)
  • Past publications. (five publications; articles, books or monographs published or accepted for publication, authored or co-authored by the PI and the members of the research team)
  • Tasks.
    • Task denomination, concise and self-explanatory
    • Task description and expected results
    • objectives in the context of the project
    • methodologies and approaches
    • expected results and preconditions to subsequent tasks
    • link to other tasks (?)
    • role of each partner and institution
    • justification for the needed resources (human and material)
    • Assigned team members.
    • Person*month person's percentage dedication * task duration in months
    • Start date; duration (in months) -no period without tasks
    • Deliverables; delivery dates (essential for effective project monitoring)
    • type (report; data management plan; websites; etc)
    • Lump sums are paid based on evidence and results showing achieved deliverables and budged
    • Budgets.
    • Overall cost justification of the task
      • breakdown by budget item detail of how this value is obtained
      • estimates must meet eligibility criteria of N.4 from "Public Announcement of the Call"
    • Amount requested for the task
      • Include 25% overheads
      • Consistent with the Principal Contractor Budget table in application form
      • Ensure "total amount of funding requested by institution" = "total costs of the tasks in which the institution participates"
  • Project timeline and management. list of milestones, the timeline and the description of the management structure
    • Milestones list
    • milestone = objective achieved; phase completed; result obtained
    • include what can be demonstrated or reported on that date
    • up to 6 milestones
    • select tasks associated with the milestone
    • mark milestones on the timeline.
    • Timeline
    • start with the available spreadsheet
    • upload "timeline.pdf"
    • Indicate partner responsible for task; acronyms of partners involved
    • Management project management structure: coordination; meetings; reporting structure
  • Ethical issues. are any ethical issues identified in the project?
  • 2030 Agenda. Sustainable Development Goals (SDGs)
    • identify one, or up to a maximum of three, of the 17 Sustainable Development Goals of the United Nations 2030 Agenda and justify how the application fits into the selected SDGs.
  • Other projects. Projects approved through peer review, led by the PI and started less than 5 years ago, completed or in progress should be listed. Additionally, please detail all projects, led by the PI, submitted and under peer-review evaluation.
  • Attachments. additional documents corresponding to formulas, schemes, diagrams, graphics, images and support letters.

Indicators

  • Expected Output Indicators.
    • outputs should be realistic and achievable and include publications, communications, reports, organization of seminars, advanced training and others.
    • used to evaluate the adequacy of the final results to the results foreseen in the application
  • Dissemination
    • plan for disseminating results and promoting knowledge and scientific dissemination
    • plan for disseminating knowledge transfer
    • included in the expected indicators and include actions for
    • disseminating scientific culture,
    • promoting and disseminating knowledge,
    • technical/scientific publications,
    • conferences,
    • seminars,
    • forums, and
    • actions aimed at target sectors, or
    • others

Budget

  • filled in by item
  • global values and justification of budgetary needs declared for each task
  • account the funding limit and the basic eligibility criteria
  • Lump Sum budget information will serve exclusively for the evaluation of the reasonableness and feasibility of the project

  • Principal Contractor fill in the requested funding for each budget category along with the corresponding justification.

  • Funding Plan Global Budget and Funding Plan tables that are automatically filled out

Statement of Commitment

  • Mark the respective check box.

Validate and Submit

  • The presence of errors prevents the submission of the application.

After Submission

Is this to be done by me?

Statement of Commitment from the Principal Contractor

  • available on myFCT for the respective agreement by the highest authority of the institution or someone delegated by them after the deadline for submitting applications and until 5:00 PM, Lisbon time, of March 1st, 2024 - WHAT?
  • Portal de Ciência e Tecnologia (PCT)

Delegation of Access in the PCT

Acceptance of Applications in myFCT

Tarefas

  • [ ] Prepare the application carefully and timely.
  • [ ] Read carefully the instructions provided in this Guide and in the Application form.
  • [ ] Learn about the structure of the Application form before beginning filling it in. Read all the sections of the Application form in advance, in order to have an idea of what is being asked and to have the necessary time to gather all the information required for submission.
  • [ ] Make sure that all the institutions to be included in the application are available on the Application form. If they are not on the list, they have to be added through the Registration of Institutions form via the Portal de Ciência e Tecnologia (available only in Portuguese). It can take up to two working days for a new institution to become available once the form is filled.
  • [ ] Contact the researchers to be included in the application team in advance and ask them to register on the CIÊNCIA ID platform and to provide the applicant with the CIÊNCIA ID registration email address.
  • [ ] Make sure an updated version of CIÊNCIAVITAE is available and ensure that the same goes for all members associated to the research team of the project.
  • [ ] Make sure that each Institution selected in the application form has a team member associated.
  • [ ] Prepare the Lump Sum funding of the application carefully and adequately.
  • [ ] Ensure that the URL addresses of bibliographical references or other relevant material remain active throughout the decision-making process.
  • [ ] Do not assume that the form and rules for submission of this application are the same as those used in other FCT programs or by other funding Agencies.
  • [ ] Do not wait until the last minute to validate and make any corrections to the application. There is a myFCT validation process, to detect possible errors in your application, which can implicate corrections and the need for extra time. Please repeat this validation process regularly.
  • [ ] Plan and complete the application process as early as possible. Only in this way FCT will be able to provide the best possible assistance.
  • [ ] Visit the FCT website regularly for updated information regarding the Call.
  • [ ] Write the application in such a way as to convince the panel of experts that the ideas presented deserve to be funded.Write the application in such a way as to convince the panel of experts that the ideas presented deserve to be funded.
  • [ ] It is important to describe the institutions involved in the project and their respective skills and contribution to the development of the project.
  • [ ] Remember that the application represents a commitment, not only from the Principal Investigator, but also from the entire research team.
  • [ ] Be realistic in terms of expectations and, if the proposal is approved, make sure that the research team is able to carry it out as planned in the application.
  • [ ] Read the Guide for Peer Reviewers carefully to understand how the application will be evaluated and make sure that the application addresses those crucial points.
  • [ ] Avoid repeating the same text or entire paragraphs in different sections.

Testemunhos

  • [ ] Comprovativo de Doutoramento do PI
  • [ ] Vínculo Laboras com o Principal Contractor ()

Agenda

title       Zugzwang
dateformat  YYYY-MM-DD

section Milestones
  milestone1    :ms1, 1d
  milestone2    : after ms1, 1d

Avaliação

  1. Qualidade científica (A1) e carácter inovador (A2) do projeto numa ótica internacional.
  2. Mérito científico do/a IR e da equipa de investigação (B1), incluindo impacto da execução do projeto no desenvolvimento da carreira do IR e/ou da sua investigação (B2).
  3. Exequibilidade do programa de trabalhos e dos indicadores de realização propostos (C1), assim como razoabilidade orçamental (C2).

O mérito do projeto é obtido através de:

MP =  0,40 (0,50 A1 + 0,50 A2) + 
      0,35 (0,60 B1 + 0,40 B2) + 
      0,25 (0,50 C1 + 0,50 C2)​​​

Questões

- O Principal Contractor é a UÉvora ou o NOVALINCS?

2024-01-05 - Next Research Lines

After the base-setting work of "An Algebraic Approach to Stochastic ASP" these are the next tasks to consider. Is summary:

  1. Logic Programming - Stratified & Non-stratified programs
  2. Computer Science - Inductive Logic Programming
  3. Software - Integration with Potassco and other frameworks
  4. Applications

Line 1: Logic Programming - Stratified & Non-stratified programs

Line 1a - Logic Programs Structure and Properties

Stratified & non-stratified programs are quoted in the "CREDAL" papers as important classes of logic programs.

Minimal example of a non-stratified program.

The following annotated LP, with clauses $c_1, c_2, c_3$ respectively, is non-stratified (because has a cycle with negated arcs) but no head is disjunctive:

0.3::a.                 % c1
b :- not c, not a.      % c2
c :- not b.             % c3

This program has three stable models: $$ \begin{aligned} m_1 &= \set{ a, c } \cr m_2 &= \set{ \neg a, b } \cr m_3 &= \set{ \neg a, c } \end{aligned} $$

We should investigate What are stratified programs and why are they important? and how does our approach deals with such programs?

Line 1b - Investigate the expressiveness of PASP

Consider:

  • Recursion
  • Variables,
  • Functional symbols,
Line 1c - The equivalence relation

Previous work defines one specific equivalence relation in the events associated to a ASP program to score that program but other equivalence relations can provide more effective scoring algorithms.

Consider the cases where only $s \subseteq e$ and $e \subseteq s$. Or other refinements. Also consider the inconsistent and independent events.

Line 1d - Stability of the error function

Consider alternative error functions. See statistics, Kullback-Leibler divergence

Line 2: Computer Science - Inductive Logic Programming

Proceed from scoring programs to support genetic algorithms or other program space exploration methods.

Scoring programs, as described in our paper, is just a step into Inductive Logic Programming. To go further, we need to explore algorithms that:

  1. Use background knowledge, expressed as a PLP.
  2. Consult positive examples that should be soft induced.
  3. Consult negative examples that should be soft excluded.
  4. Generate PLPs that are scored.
  5. Recombine the best scored into a new population, using recombination rules.

In order to do that, PLPs must be expressed as data structures to be manipulated. Also recombination rules must investigated before become formally expressed and supported with adequate methods.

Line 3: Software - Integration with Potassco and other frameworks

Support annotated programs with zugzwang semantics.

  • Bayesian Networks (BII Alice)
    • Generate an annotated asp program from a bayesian network and run it trough clingo.
    • Recover the stable models from the previous ste and compute the respective probabilities.
  • Program Manipulation
    • Annotated ASP program representation and a parser.

Line 4: Applications

Apply zugzwang to a few showcases, besides the theoretic corner stones (non-stratified, disjunctive, bayes networks), preferably based in real world scenarios, with complex structure and large datasets.

  • (Stochastic) Plan Generation
  • Yale-Shooting Problem
  • (Stochastic) Situation Calculus
  • Frame Problem
  • Latent Facts - and core assumptions.
  • Given a Bayesian Network (or a Markov Networks):
    • Represent it. (done for BNs; MNs?)
    • Solve the common probability tasks: join (done), marginals, conditionals, parameter learning, inferring unobserved variables, sample generation, etc.
  • Given a solved ASP specification:
    • What is the marginal probability of the atom a? (done)
    • What other probability queries are important to consider?
  • Given an unsolved ASP specification:
    • What is the probability (distribution?) of the probabilistic fact a?
    • What other questions are relevant? E.g. the distribution family of a fact?
  • Given a solved ASP specification and a set of samples:
    • How do the probabilities inferred from the specification match the ones from the empiric distribution? (done might see alternative approaches)
  • Given two solved ASP specification and a set of samples:
    • Which specification best describes the empiric distribution? (done)

Tarefas

  • [ ] Submeter
  • [ ] Redigir
  • [ ] Preparar
    • [-] Consultar documentação
    • [ ] Reunir requisitos
    • [ ] Delinear proposta

Memória Externa

  • [ ] Irene
  • [ ] Salvador